21 November 2009

On RDF Triples

    W3C (WWW Consortium) created RDF (Resource Description Framework) as an extensible XML-based simple data model with formal semantics capabilities in order to define web metadata, allowing machines to "understand", create, exchange and process information. At the heart of RDF stands the triple, referred also as RDF triple, representing a subject-predicate-object relation indicating that a relationship represented by predicate exists between subject and object. It sounds like it’s possible to describe relationships between concepts, allowing thus to represent the information in (web) documents, resulting a nice set of triples, in which subjects, objects and predicates might be repeated several times. Even nicer, RDFs can be represented visually, the resulting structure having the form of a graph, also referred as RDF graph, in which subjects and objects are represented as nodes and predicates as arcs, arcs’ direction always pointing towards objects. The graph-like structures allow RDF to take advantage of a whole set of algorithms and models developed over ages in Theory of Graphs, including searching, comparisons, representation and data mining, a nice asset isn’t it?

   Having the possibility to describe documents in triple-like fashion is an important step of W3C, though, on the other side, using a syntagm I heard some time ago in OOP (Object Oriented Programming), how many triples it takes to describe the world, with all its beauty and knowledge accumulated over the years? How about expressing complex mathematical relations like the ones defined in algebra. Imagine a relation between a set of m elements and another one of n elements, how would you express that using triples, how about if there are a set of p relations?! How about defining more complex algebra structures? How would you express multidimensionality or hyper-relations using triples? Of course, for the current needs triples suffice, anyway we still ramble in acquiring simple relations in the clouds, no need to go so far away.

    Coming to more simplistic representation models, I wonder if it’s possible to model all types of knowledge maps with RDF triples, models that make use of additional attributes like weight, cost, rules, sequencing, time delays, etc. Why am I launching such questions in the dark? We have developed a huge collection of mathematical models, how are we putting them into use?! It’s also possible that I’m missing the overall point over triples, even if I actually used them during schools in Algebra and Graph Theory, it’s true, at basic level compared with the current state of art, though I hope I have an idea of what all it’s about.

02 October 2009

Cities, Trees and Imagination at Work, a sketch on Mind Maps

    From all the definitions of a Mind Map rooted in common experience I find representative the one based on the similarities to a city given by [3]. A city is generally built around a centre (the central idea in Mind Maps) with boulevards (key ideas) branching in radial manner out of it, with secondary streets (secondary ideas) branching out of them, and gradually smaller and smaller streets (less correlated ideas to the central idea), and with cross streets (crossing ideas) connecting them. For a foreigner in a city it’s easier to memorize the boulevards and the streets toward the points of interest or relevance together with landmarks and images (e.g. buildings). Same as a tourist can manage in the territory with a mental map of the city, same a simple but well formed Mind Map can depict the essential structure of knowledge related to a certain subject. Actually a Mind Map could be compared with the Map of a city rather than the city itself, because both type of Maps represent the territory up to a certain level of detail, they are not the territory itself. On the other side the city like the Mind Map has a dynamic nature, while a Map is more static.

    The example of a city has its flows – most of the cities have a networked rather than a radial structure, the number of dead ends could be significantly less than the streets ending in another street. In contrast a typical Mind Map has few crossing ideas, the dead ends governing its structure, for this reason the comparison between a Mind Map and a tree seems to be more natural. On the other side, the comparison with a city has other aspects – for example a city can grow forming a metropolis, same thing could be achieved by adding small Mind Maps to a central Mind Map. Two or more metropolis can form a megalopolis, each with its own centre or in contrast by developing their own centre or just gravitating around one of the already existing centres; the Mind Maps formed by the aggregation or two or more Maps are seldom, but not impossible to realize. Another example with small probability to happen is the one in which a city changes in time its centre, the old historical centre being replaced for example by a new business centre, reflecting city’s development; in the same way a Mind Map could shift in theory its centre, though this could happen more because of inconsistencies in Map’s building or because of changes supervened in Map’s detail. These characteristics of a city add a plus to this example versus the one of a tree, in which the trunk represents the central idea, the main branches the key ideas, and the decreasing in thickness branches the less correlated ideas. Unlike a city, a tree doesn’t include crossing ideas unless its 3-dimensionality is ignored or we deal with a curiosity of nature, the same applying to trees’ merging.

    Trees have been used from Antiquity in order to represent knowledge - Trees of Life, Trees of Love, Trees of Knowledge, genealogic, kinship or blood relation trees have resisted the time on artefacts dated before B.C., or in printed manuscripts and documents especially from 10th century on, the richness of design and content increasing with the advancement in printing technology. The “Tree of blood relations” (fr: Arbre de consanguinité) appearing in Christiane Klapisch-Zuber’s book, L’ombre des Ancêtres is dated as belonging to the 9th century [4], several others similar trees are dated between 10th and 14th century and available online through Enluminures [1], or in the works of Joachim of Fiore [2], Ramon Lull [5] and others. Usually in such tree-like representations, the branches are just connectors between the various islands of text often represented as leaves, having the characteristics of archaic Mind Maps, resembling more to the graph-like representations. It is impressive the richness of styles and representations, the mixture between text and images, the use of colour and symmetric arrangement.

    The city or tree syntagmas are just helpers in understanding the Mind Map, for a deeper apprehension of the subject is maybe more indicated to check Tony Buzan’s books.

References:
[1] Enluminures. [Online] Available from: www.enluminures.culture.fr (Accessed: 1 October 2009)
[2] International Center for Joachimist Studies. (????). Joachim of Fiore. [Online] Available from: http://www.centrostudigioachimiti.it/Gioacchino/GF_Tavoleeng.asp (Accessed: 13 February 2009)
[3] MindMapping.com. (2008) Theory behind Mind Maps [Online] Available from: http://www.mindmapping.com/Theory_Behind_Mind_Maps.htm (Accessed: 1 October 2009)
[4] Weigel. S. (2002) Genealogy: On the iconography and rhetorics of an epistemological topos. [Online] Available from: (Accessed: 1 October 2009)
[5] Wikipedia. 2009. Ramon Llull. [Online] Available from: http://commons.wikimedia.org/wiki/Category:Ramon_Llull (Accessed: 1 October 2009)

28 September 2009

Sidewiki, to be or not to be

    One important fact I failed to remark in the research for the previous post was that Google's initiative in not singular, a first attempt in the world of “commenting systems” was made in 2001 by Third Voice though it had to discontinue its services only after 2 years [3]. More recent similar but almost anonym initiatives are Blerp, Reframe it or You Sticker, and now Google‘s Sidewiki joined the club! Why would Google succeed where other companies failed? What Google has and other companies don't have? First of all Google is established as brand, has credibility, human and financial resources, the infrastructure and processing power its predecessor and competitors didn't had. As also [2] remarks "None so far has been backed by a company that could reach the critical mass needed to make the program a success". Secondly, Google doesn't depend only on one project and it has many other initiatives focusing on Web 2.0, having the capacity to evolve the tool and in time integrate it with other products. Actually Sidewiki commenting system is based on Google profiles, the posted comments appearing in users’ profile and by choice also in the owned blogs. Third Google offers an API which I hope can be easily integrated in third party tools and used for data mining such content. Above all Google has accumulated lot of experience in the sphere of Web technologies, is one of the pioneers and architects of Web x.0 and it has the potential to succeed where other failed.

    Even if Third Voice gathered a couple hundred thousand users, according to [3] it succumbed under the menace of a powerful coalition formed by 400 independent Web hosts. Another reason for its weakness what the fact that it "couldn't generate enough advertising revenue to raise consumers' awareness of its free service, and it couldn't generate enough consumer awareness to raise the advertising revenue it needed to stay in business" [3], a chain of weakness isn’t it? Often for small companies it's not so easy to reach the potential customers or manage advertising own products enough, and that can be seen especially in case of startups. Even if the message reached the customers, it’s difficult to stir their interest and gain their trust. How do I know that the tool I download does only what is supposed to do?! Sometimes I am reluctant to install a tool on my computer because I haven't heard of it or/and the supporting website doesn't inspire any credibility or by being too vague in describing the functionality doesn't encourages me in a significant manner to download the tool.

    As in the case of Third Voice, the number of early adopters is not always sufficient in order to make a tool survive the early adoption difficulties. Moreover, many new technologies in order to survive need a market prepared to accept them, and this seems to be one of the most important barriers. Even there was a need in the market and the intents were noble, the “Web graffiti”, as Third Voice “sticky notes” were named by its opponents [3], didn’t make it. Philosophies behind technologies look nice on paper though they might perish in the touch world of the Internet. Is it a different situation for Sidewiki? Even if the number of its opponents is not to neglect, I tend to believe that the nowadays conjuncture is beneficial, the transition toward a read-write Web is helped by a change in mentality at micro and macro level. There are still barriers to overcome raised especially from people’s confusion concerning what the read-write Web is about. People or in general content publishers feel they are loosing the control over their own content, and that’s one of the cases against such “commenting systems”. Is it really so?! Sidewiki is installed by choice by those interested in commenting and reading others' comments; it’s isolated from publisher's content the only links being the integrated display and the reference to the source. Content creators are not loosing the control over their content and websites but about the comments made at their address, and that’s quite a pain, however as Mike Koss nicely puts it in an answer to J.A. Seidl’s posting, “just as a publishers "owns" their content, readers have a right to "own" their feedback and comments” [1].

    Many argue that such comments will have a negative impact on the quality of the content, that the discussions might take two distinct flows on the sites having already built-in commenting functionality; in the end is at users' latitude which one of them they want to use. I would expect that most of the users are interested in receiving feedback on what they wrote, either from the publisher or from other users, and thus the built-in functionality would more likely be used. On the other side, some sites make it difficult to include comments for example by having a poor interface or the well known annoying captchas.

    We sometimes have too great expectations and forget that each technology and initiative needs time to catch ground and maturity. Maybe we see too easy the flaws and neglect the potential. It will be interesting to watch the degree Google will use such comments, either for simple categorization of pages, consolidating user profiles or for complex web data mining. By projecting users' comments in the space created by the commented content can be established a backbone on which the content was built (e.g. words/concepts with higher relevance) fact which can help better categorize web pages but also identify users' sphere of interests and even determine their competency in a certain area. Could be thus established more "accurate" and "detailed" users profiles, and derived increased "profitability" by reducing the number of anonymous posts. Some people might argue that we don't need a tool like Sidewiki to post comments on or about sites, same can be obtained with other tools too, of course, there is always the freedom of choice. I find Sidewiki having greater potential than the tools I arrived to know.

    There will be many content creators (publishers), users and communities against Sidewiki, resuming to solid or childish grounds, with an expected plus for the later. In the end what it counts is the number of adopters, number that might increase with the degree of credibility the tool obtains in time. Sometimes is needed a big stone in order to create a meaningful wave, Goggle launched it, let's see how far it goes!

    References:
[1] FASeild. (2009). Google Sidewiki: Do [No?] Evil. [Online] Available from: http://faseidl.com/public/item/241498 (Accessed: 28 September 2009)
[2] GHacks. (2009). Google Sidewiki. [Online] Available from: http://www.ghacks.net/2009/09/25/google-sidewiki/(Accessed: 28 September 2009)
[3] Wired. (2001). Third Voice Trails Off... [Online] Available from: http://www.wired.com/techbiz/media/news/2001/04/42803 (Accessed: 28 September 2009)

24 September 2009

Sidewiki, new Google tool for Web 2.0

    On Wednesday Google launched Sidewiki, a browser sidebar tool coming as part of Google Toolbars and installable on Firefox2+, Internet Explorer6+ and soon on Google Chrome. What’s great about Sidewiki?! It allows adding comments to the whole content or sections of a Web Page, all content posted in this manner being public and thus seen by other people. It is thus possible to add annotations to Web Pages, share thoughts and ideas, criticize or encourage, categorize content, etc. It’s also a way of saying I’ve been here, (didn’t) liked that, here are my 2 cents, my extraordinary philosophy obtained sitting in front of the TV, etc. Because of that Google avoided to show the messages in the order they were entered but, according to their presentation, they are “using an algorithm that promotes the most useful, high-quality entries".

    I totally like the idea! I've been actually waiting for this! I consider it as a step forward toward collaborative content creation, of allowing users to create more structured metadata (e.g. Knowledge Maps, concept clouds) for Web Pages outside of the functionality provided by their creators. In addition, it is thus build a new network structure on top of existing Web graph, structure from which users and creators could have something to win. I’d expect more functionality can be built on top of Sidewiki’s API and hopefully Google will add to it more functionality – for example I’d like to manage the content I’ve commented, allow me to categorize content or simply select passages I really liked without adding any comments, and store the content in the Google repository or exporting it on the local computer, together with additional metadata about source (references to the source should be a must). Talking about categorization of content, if it's not possible to select phrases because of copywrite contention, then it would be great if I could select words that were meaningful for me and further use them in creating Knowledge Maps, in tool itself or by exporting/importing them in third party tools.

    The news has been taken over by bloggers, pros and cons being more or less professionally advocated. Jeff Jarvis in BuzzMachine seems to see the new feature as a danger because “is trying to take interactivity away from the source and centralize it”, resulting a conflict between Goggle’s tool and Web Page’s built-in functionality, the lost of ownership over owns’ content. I’d say that he sees the negative side of the story and I can’t say he’s wrong though that’s one of the risks content creators assumed once they made the content available publicly online. Their work might be “ruined”, but not entirely, there is a potentiality for growth in information’s richness and maybe quality residing in the exchange of ideas. On the other side users don’t know how to handle too much freedom, stupid comments and ads are waiting at the corner. Probably the content creators should have a say in all this, at least by weighting negatively such posts if not by deleting the content. I observed there is a way to report abuse, though I wonder how much is really working, how much content creators and users are really willing to use it?! It is true that Google enforces Sidewiki Program Policies, though nothing seems to stop the spammers.

17 July 2009

Thinking Maps

Introduction

    Dr. D. Hyerle grouped under Thinking Maps syntagm a set of eight metacognitive visual tools rooted in the eight cognitive skills: defining in context, describing attributes, comparing and contrasting, classification, part-whole spatial reasoning, sequencing, cause and effect reasoning, and reasoning by analogy [1]. He used the tools to create a easy to use language for learning and information representation, the eight graphic primitives can be used in an infinite of ways. There are several diagrams which summarize what the eight Maps are about:

Thinking Maps [8] Thinking Maps [9]


    Benefits associated with the use of Thinking Maps can be found in [3], [11] and [2] together with modes of employment.

Circle Maps

    Circle Maps are used to place concepts into a context with the help of two concentric circles, the smaller one containing the context, while in the outer circle are placed the associated concepts, acting like properties or association bag. Concepts are usually clustered without creating explicit relations between them, more complex Circle Maps being created using multiple concentric circles, a target diagram according to [12], or by partitioning the outer circle, creating thus different spheres of meaning.

    Given its geometrical properties (e.g. centricity, equidistance, regularity), the circle is a perfect tool for representations, though it doesn’t have to be used as a leitmotif; triangles, squares, rectangles or any other regular polygons can be used for the same purpose, especially when additional intrinsic characteristic are highlighted, for example trinity, square of opposition, n-tuplicity, etc.

    Circle Maps can be pretty simplistic, in simplicity residing their beauty and use; overall Circle Maps are a perfect tool to introduce concepts, especially in primary school. Their importance should not be underestimated, they can have strong representational power especially when used in combination with other representational patterns.

Bubble Maps

    Bubble Maps focus on direct associations between a concept and its descriptors, also called adjectives, qualities, attributes or characteristics [11]. Such representations are integrant part of many types of Maps that represent associations explicitly (e.g. Mind Maps, Concept Maps). Extensively, a Bubble Map could be used for the same representations as Circle Maps, allowing thus explicit associations between a concept and its attributes, same it can include other part of speech, concepts or fragments of text. For greater effect, Bubble Maps could be combined with Circle Maps, especially when needed to highlight different boundaries.

Double Bubble Maps

    Double Bubble Maps are used for comparing and contrasting the descriptors of two concepts. Another popular tools used for the same purpose are the Venn diagrams, which mixes some of the characteristics of Circle Maps and Double Bubble Maps, though they are sometimes more complex to use and, in plus, they allow the comparison of multiple concepts. Are few the situations in which more than two concepts need to be compared, how should such a Map be called?! Maybe Multi-Bubble Maps…

Flow Map

    Most probably many people are already familiar with flowcharts or flow diagrams, one of the process diagrams used to model the flow of processes (systems), and sometimes considered synonym to them. Hyerle’s Flow Map seems to be slightly different than the flow diagrams used to model processes, and even if both maps are based on sequencing and ordering principle, the later seems to be more complex and use more representational elements, containing symbols for decision, delays, predefined subprocesses or data input/output. Hyerle’s Flow Map resumes only at presenting information in sequencing and ordering manner, being capable of represent for example a linear causality sequence or the points on a scale (e.g. past, present, near future, future or very cold, cold, warm, very warm). I consider scales, also named continuums by [12], a pattern of its own, used to represent a set of ordered concepts, including timelines, transition between two states, scales of values, ordered sets, etc. It is possible to represent together two or more scales/continuums within the same system of coordinates, each scale on an axis of its own. Such a system is called a crossed continuum by [12] and conceptual space by [13].

Multi-Flow Maps

    A Multi-Flow Map is obtained by combining more than one Flow Maps, creating parallel or intersected sequences. Therefore they are useful to represent causes and effects diagrams, more like the well-known Fishbone diagram, the distinction residing in the fact that the multi-flow Maps not necessarily follow a hierarchical structure, multiple effects being possible. In addition the Fishbone diagram has a “methodology” of its own, the causes being identified starting from an observed effect.

    It’s interesting that [10] makes distinction between Multiple Causes Maps and Multiple Effects, which could be taken as particular Multi-Flow Maps.

Brace Maps and Tree Maps

    Brace Maps are the only type of Maps I often saw used in manuals or other type of books, usually for detailing the parts of concepts allowing thus to analyze the parts of a concept and the concept itself. Brace Maps are used also for the classification and grouping of concepts, in Hyerle’s system usually represented using Tree Maps.

    I often used Brace Maps in Mathematical definitions, when the definitions need to be split in parallel threads (left braces), or demonstrations, when multiple threads flow into the final result (right). Even the use is slightly different the principle is somehow similar.

Bridge Maps

    Bridge Maps are used for highlighting analogies between concepts into an inversed Vee-like diagram, which can be repeated for each additional analogy added to the chain, with the comparison concepts on top and the relating factors below. Bridge Maps can be used not only for simple analogies, but also for metaphors.     I expect that in case are needed to be compared multiple related factor types for the same concepts, then it will be created one Bridge Map for each factor type. For such scenarios a simple table could be a better choice, in which the compared concepts form the headers, while the related factors are the actual records. Even more, the concept representing the concept type can be added too, forming a matrix. An example of such matrix can be found in a previous posting on Web’s evolution.     Even if the use of Bridge Maps expresses directly the intent of representing analogies, I find tables or matrixes much simpler to use and non-redundant.

New Patterns, Old Patterns

    The patterns encompassed in Thinking Maps are not new, many of them have been used a few centuries ago, as can be seen from the below examples. In the first figure can be seen the Buenting clover leaf map, woodcut made in 1581 in Megdeburg; it can be regarded as a combination between Circle Map and Bubble Map. In the second figure from Athanasius Kircher’s Oedipus Aegyptiacus can be seen a wonderful complex diagram of the names of God, a combination of a partitioned target diagram (multi-concentric Circle Maps) and Tree Maps. In the third figure, a simple I Chin diagram based on Pa Gua trigrams, a partitioned Circle Map making use of symbols, the same theme being present also in the fourth diagram, which evolves the I Ching model to a representation of the DNA world.

Buenting clover leaf map Athanasius Kircher’s Oedipus Aegyptiacus
Buenting clover leaf map [6] Athanasius Kircher’s Oedipus Aegyptiacus [14]


I Ching DNA/RMA Mandala
I Ching [4] DNA/RNA Mandala [5]


References:

[1] Hyerle, D. (2008). Thinking Maps®: A Visual Language for Learning. In: Thinking Maps®: A Visual Language for Learning, ISBN: 978-1-84800-149-7. [Online] Available from: http://www.springerlink.com/content/x57121720731381j/ (Accessed: 23 June 2009)
[2] A. Costa, P. Wolfe, H. Gardner, D. Goldman. The Networking Brain and Mind. [Online] Available from: http://www.mapthemind.com/pdf/visual_tools/visual_tools_CH2_20_35.pdf (Accessed: 7 July 2009)
[3] Learning Prep School. Thinking Maps. [Online] Available from: http://www.learningprep.org/thinkingmaps.htm (Accessed: 7 July 2009)
[4] Zen’s Sekai I. (2007). I Ching. [Online] Available from: http://zensekai.wordpress.com/2007/04/05/i-ching/ (Accessed: 8 July 2009)
[5] The Abysmal. (2006). DNA Codon Mandala. [Online] Available from: http://theabysmal.wordpress.com/2006/07/15/dna-codon-mandala/ (Accessed: 8 July 2009)
[6] Learn NC. Buenting clover leaf map. [Online] Available from: http://www.learnnc.org/lp/multimedia/6981
[7] L. Sachar. Multiple Mapping: Holes. [Online] Available from: http://www.learningprep.org/images/thinkingmaps_album/student_work_images/mult_mapping_holes_louis.JPG (Accessed: 12 July 2009)
[8] Seattle Schools. Thinking Maps. [Online] Available from: http://www.seattleschools.org/area/arts/visualarts/thi_map.html (Accessed: 13 July 2009)
[9] SaskEd. Unit Five: Social Development. [Online] Available from: http://www.sasked.gov.sk.ca/docs/native30/nover5.html (Accessed: 13 July 2009)
[10] Somers Central School District. ????. Graphic Organizers that Support Specific Thinking Skills. [Online] Available from: http://www.somers.k12.ny.us/intranet/skills/thinkmaps.html (Accessed: 14 July 2009)
[11] Hyerle. D. (2000) Thinking Maps® for Reading Minds. In: A Field Guide to Using Visual Tools. Association for Supervision & Curriculum Deve. ISBN: 978-0871203670. [Online] Available from: http://www.mapthemind.com/PDF/visual_tools/visual_tools_CH6_100_123.pdf (Accessed: 14 July 2009)
[12] G. Petty. (2009). ISBN: 978-1-4085-0452-9. Evidence Based Teaching: A Practical Approach. 2nd Ed. [Online] Available from: http://bookshop.blackwell.co.uk/extracts/evidence_based_teaching.pdf (Accessed: 16 July 2009)
[13] Gaerdenfors, P. (2000). Conceptual Spaces: The Geometry of Thought. Massachusetts Institute of Technology. ISBN: 0-262-07199-1.
[14] Cramer, F (2005) Computations of Totality. In: Words Made Flesh – Code, Culture, Imagination. Piet Zwart Institute. [Online] Available from: http://pzwart.wdka.hro.nl/mdr/research/fcramer/wordsmadeflesh/03-chapter_2/ (Accessed: 16 July 2009)

03 July 2009

Knowledge Representation in Antiquity

    I must admit that I’m fascinated by the techniques and tools used for Knowledge Representation, especially the ones used in the past, centuries and even thousands of years before. Somebody was saying that nothing is new under the sky, everything existed before, even if it was in a more archaic form of expression, the simplicity doesn’t diminish the importance.

    My fascination is somehow correlated to the fact that many of the representations that can be catalogued under Knowledge Representation are related to philosophical and religious believes, two of the domains that played an important role in the life of the spiritual man from antiquity. Oh, I forgot astronomy or, astrology if you want, the associations of stars in constellations, uniting the dots in a pattern that can be easier memorized and identified, can be considered maybe as a pseudo-technique for Knowledge Representation.

    In my dissertation paper, in a short historical overview of Knowledge Representation structures used over time, I mentioned the Tree of Life representations on stone, ceramic or clay artefacts preserved until now from different cultures, the “arbor porphyriana” or “Porphyrian tree”, genealogical trees dated from 11th century, KRS like representation of Joachim of Fiore [1] or Ramon Llul [2], the Sephirotic Tree central to Jewish tradition, quipas and square of oppositions. Actually, the list of such representation is much bigger; I tried to point only the oldest sources in order to highlight the existence of various such representation techniques. I think that I could have talked more about some representations and add many more examples, though I don’t think it was nor the place and neither the time to do it, for some of them needing to do more research, given their interpretational richness. In the past two weeks I tried to do some research in this direction, I advanced a little in the subject though there is still a long way to go. I realized that for the moment would be impossible to approach the subject in a more structured and professional form, on subjects like the Tree of Life or Sephirotic Tree has been written many books and advanced many theories. As I am interested in the Kabbalistic and Hermetic traditions, some of the mentioned representations were not new to me, their richness of meaning intriguing me, this being also one of the reasons for which I chosen a topic for my dissertation paper related to Knowledge Representation.

    The Sephirotic Tree is actually my first meaningful intersection with a KRS, giving it some thought over time, trying to understand the various interpretations, and believe me, there is a whole set of philosophies based on it. As Frater FP highlights, the Sephirotic Tree became a Meta-Map or Meta-Model for a Meta-System “capable of comprehending other systems within itself”, the Seven Rays and Chakra systems, the astrology itself and Tarot being examples of other meta-models [4]. It is actually interesting to study how such models were formed and evolved, unfortunately all we can is to launch in the blue other more or less fantastic theories. In many sources it is advanced the idea that the Jewish Sephirotic Tree derives from the Egyptian or Assyrian/Babylonian Tree of Life, theory proved by the antique artefacts found, though Trees of Life can be met also Indian or Nazca antic cultures, revealing the universality of such a symbol. These various tree representations could have in theory a unique source, though this supposes the existence of an older culture, why not the Atlanteans, though that’s maybe a little too much SF for this post, unlike you are open for such theories. If no such common source exists, then most probably exist something higher, a collective or archetypal consciousness, same as is possible that people arrived independently to the same truths, so there must be a correlation between the tree and the inner/outer world.

    Other religious representations are centred on trinity, the various types of crosses and shields of trinity being an example in this direction. The oldest shields of trinity I know of are the ones available in Cotton Faustina and Summa Vitiorum manuscripts from 13th century. A second type of representations was transmitted through the intermediary of seals and even coins, their means being lost in the past.

Zodiac [5] Macrobian cosmic diagram [6] Chinese chart [7]


    As I previously mentioned, an important amount of knowledge was transmitted in relation to the stars, zodiacs like the ones present in a 6th century synagogue at Beit Alpha, Israel, cosmic diagrams like the Macrobian diagram from 9th century and sky charts like the Chinese one dated to 7th century seems to be common along the time. Such testimonies of the past are again present on all continents in various forms and styles. Now that we are approaching with rapid steps the year 2012, the end of the world or beginning of a new era after some interpreters of Mayan calendar, a hoax for others, based on moon’s natural cycle, the Mayan calendar spans over a range of 5125 years, between 3113 BC and 2012 AD; jumping over interpretations, it remains the beauty and abstractness of Mayan calendar representations.

Maya Calendars


    It doesn’t makes sense to talk about Knowledge Representation in antiquity without mentioning, at least roughly, a masterpieces of Chinese thought, I Ching, the Book of Changes. Based on 64 hexagrams rooted in yin and yang principles, it presents a beautiful complex Meta-Model, hard to grasp by most of the mortals, and I’m one of them, at least for now.

References:
1. International Center for Joachimist Studies. (????). Joachim of Fiore. [Online] Available from: http://www.centrostudigioachimiti.it/Gioacchino/GF_Tavoleeng.asp (Accessed: 13 February 2009)
2. Cahill, M.J. 2005. Graphical Languages – History and Uses. Future Knowledge Group. [Online] Available from: http://www.futureknowledge.biz/Graphical%20Languages%20-%20History%20and%20Uses-1.1.pdf (Accessed: 8 January 2008)
3. S. Weigel. ????. Genealogy, On the iconography and rhetorics of an epistemological topos. Enciclopédia e Hipertexto. [Online] Available from: http://www.educ.fc.ul.pt/hyper/resources/sweigel/ (Accessed: 3 July 2009)
4. Frater FP. 2005. The Magician’s Kabbalah. [Online] Available from: http://www.scribd.com/doc/16605805/The-Magicians-Kabbalah (Accessed: 3 July 2009)
5. TutorGig. 2009. Astrology [Online] Available from: http://www.tutorgig.com/ed/Astrology (Accessed: 3 July 2009)
6. Wikipedia. 2009. Flat Earth. [Online] Available from: http://en.wikipedia.org/wiki/Flat_Earth (Accessed: 3 July 2009)
7. KIDIPEDE. 2009. Chinese Astronomy. [Online] Available from: http://www.historyforkids.org/learn/china/science/pictures/starmap.jpg (Accessed: 3 July 2009)

Finally the Digital Book Reader - Part II

    One month is gone and I had a great time playing with my Sony Digital Reader – overall is a nice experience, reading in the evening before falling asleep became actually more pleasant, the reader weighting less than some of the books I’m having in my small library. As often I’m using the laptop only for reading electronic documents, the Reader helped me to reduce the number of hours spent In front of the laptop, and that’s quite a deal considering the huge amount of time I’m spending daily working on computer. The device proved to be also useful while using the medical bike, being much easier to fix it on the bike than a normal book.

    Excepting the creation of Knowledge Maps with Digital Readers disscussed in the previous post, on my wish list for future Reader devices and services appeared a few more points appeared since then:

    1. A dictionary that would show a definition or synonyms for the highlighted word. The existence of bilingual dictionaries would be a plus, a tool like Babylon on a reading device would be more than appreciated.

    2. The possibility to categorize notes, for example in key-words, concepts, quotes, unknown words, etc. This shouldn’t be limited to predefined categories, custom categories could be used in combination with predefined categories; the user for example could assign a set of categories to a set of buttons for faster response, thus not needing to select a category from a list each time the assignment is done.

    3. The possibility to save multiple bookmarks – now the device stores the last visited page, great thing, though if for example I click on saved notes, the previous bookmark is lost. This could be covered somehow in point 2, though I considered it deserves a place of its own in my list.

    4. Improved view/editing capabilities, right now there are cases in which the Reader fails to select the exact piece of text I want, most probably because of documents’ format, the same could be blame also for the strange display of text when increasing font’s size. This includes cross-page text selections – right now I find it quite difficult to select a text found on two consecutive pages.
    It won’t be bad if the files’ name and other metadata could be modified directly in Reader.

    5. Internet browsing and the possibility to save content on the local device, for beginning read-only capabilities for simple HTML Web pages would do, though, on the long run, it would be nice if a Digital Reader could dispose of read-write capabilities.

    6. A wider digital display to allow at least normal read of small-format books;

    7. A longer battery duration - because I’m using the stick to select text, the energy consume is higher, after a few hours being requested to recharge it. I wonder whether solar energy could be used to recharge Reader’s battery…

    8. Collaboration between content Vendors, right now vendors like Sony and Amazon providing content only for their products, on one side this strengthen their positions on the Readers’ market, though limits the accessibility to content consumers, market which could prove to be more profitable than the one of the Readers.

    9. Global services – I was quite disappointed when I wanted to buy a book and I couldn’t because Sony offers content only for the Canadian and US market. I understand that this is a new market which might not be mature enough, though I think that such Vendors should be a little more aggressive.

    10. Processing tools that allow processing the content created with Readers (e.g. Notes), exporting it for example to other types of files,

    I see the Digital Reader device playing a more important role in learning, not only simple reading, Reader Based Training (RBT) could have maybe the same impact on users as Computer Based Training (CBT) or Web Based Training (WBT) services, on a Reader being maybe more easier to consume such content.

20 June 2009

3D Maps using 3D TopicScape Pro

    Today I took the time and played with 3D TopicScape Pro, a nice 3D tool that can be used for Mind and Concept Mapping. 3D TopicScape Pro together with 3D TopicScape Lite, products of TopicScape, can be run on Windows 2000, XP and Vista.

    From a first user experience the look and feel is interesting, the tool is easy to use and has a small learning curve, and it includes a few demos which make the learning process easier. The Landscaped Maps seems to be useful for representing several levels of children, though when the number of children is greater than 4-5, the labels are hard to see. The topics are represented as cones (see Figure 1) and to each topic can be attached up to 10 tags, the flagging of topics as important allows easier visual identification.

Learning Mind Map created with 3D TopicScape Pro Figure 1: Learning Mind Map created with 3D TopicScape Pro

    The tool offers multiple views – home, full, top, tag pool and hit list, the later offering an historical list of Map’s elements (see Figure 2). It includes several skins, rich editing and configuring features that add a plus to overall usability.

Hit List for the above Mind Map Figure 2: Hit List for the above Mind Map

    Frankly I was expecting more from the tool and personally I prefer the 2D version of the Map (see Figure 3), it is less graphically loaded, and the increase border or text size can be used to obtain the same visual contrast as in landscapes. 2D Maps have the advantage that they can be constructed using Visio or PowerPoint, two of the tools used by many IT professionals and managers.

In exchange, I would use a 3D Map for representing weighted Topics, in which cone's size would be proportional with its eight. Personal Topicscape, sample 2D Mind Map available with 3D TopicScape Pro Figure 3: Personal Topicscape, sample 2D Mind Map available with 3D TopicScape Pro

    The site offers also a collection of more than 1000 Mind Maps which could give you a feeling what Mind Mapping is about. Actually from the TopicScape’s blog I found the link to a nice source for learning how to make a Mind Map.

Utilizing Mind Maps as a Structure for Mining the Semantic Web Dissertation paper uploaded on Scribd

    Last week, on Friday, I got the news that I am entitled to graduate with the award of MSc in Information Systems Management. I have to recognize that I was a little worried because I knew that the Dissertation paper was not complete, given the time and personal constraints, therefore I had to let lot of material out of the paper, plus that I couldn’t approach all the intended objectives. Anyway, if I consider the huge amount of material I had to read and review, the multitude of topics and the fact I can say I learned something during the Dissertation phase, I can consider myself satisfied. Even more the topic is of actuality, researchers are still stumbling on the road toward a Semantic Web, and there are still lot of things out there to be explored and link to this topic – knowledge management, information/knowledge mapping, complex systems, ecosystems, ecologies, learning, Web Mining, the applicability of the Web 2.0 and Semantic Web within daily life, etc.

    So, here is my Dissertation paper, I know that there are a few typing mistakes as I didn’t had the chance to review the paper and correct it, I actually clicked the send button a few seconds before deadline; there are also parts in which I should have invested more time. There’s a second document, Architeture Appendix, treating roughly the architecture behind a Conceptual Knowledge Base created using Knowledge Maps and their further use in Web Data Mining.

    Overall, I think that the Dissertation paper includes some interesting ideas and links, which could lead to other ideas, though that’s entirely dependent on the reader. I wish you a good and fruitful reading!

04 June 2009

Finally the Digital Book Reader

    Yesterday my Sony PRS-700BC Digital Book Reader finally came, after two weeks and a trip overseas. I wanted so much a Digital Book Reader that I bought one, even if it doesn’t justifies entirely the price though might be useful when reading late in the evening or in trips in which is not possible to pack more than 1-2 books, not to forget the multitude of electronic documents not available in hardcopy. I was thinking to wait for Amazon’s Kindle DX, presented to the public a few weeks ago, unfortunately its (un)availability on European market and nice price made me to give up the idea of buying one. In exchange Sony’s reader looked more attractive as price and what attracted me at PRS-700BC was its touch-screen display and the possibility to add annotations and highlight text, these capabilities not being available in previous models. Using the stylus or direct touching, PRS-700BC allows you to select a piece of text (within the same page), save it and make it available in Notes section. I tested it using PDF documents and Sony’s proprietary format BBeB (Broad Band eBook), it worked acceptable as long the document is adequately formatted, the selection functionality working awkwardly in some PDF documents. The good rendering of PDF documents depends on font’s size, its length and disposal within page; even if font size is changed, the text might not be uniformly rendered, mathematical formulas being deformed, the text loosing of content. In order to avoid text’s deformation the text can be zoomed though I find the feature a little cumbersome to use for continuous reading. There would be also the possibility of exporting other documents to BBeB format, not sure if it really makes sense to do that…

    Why am I talking about Digital Readers in this blog?! First of all because PRS-700BC provides the capability of annotating, highlighting and extracting text from a document, much of what we try to do with Web Pages within Web 2.0 in the attempt to create metadata and a read-write Web. The Notes thus created allow navigating back to the document it contains and in theory can be further used to partially index the document, partially because it doesn’t allows jumping between all occurrences like the search functionality. At it seems the full-word search provides hints based on previous annotations and highlights, that’s a nice feature.

    I wonder whether the previously selected text can be also extracted on a PC in a document together with other information about the document that contains it; normally it should be possible, it’s just a question of programming effort. The text thus obtained could be reused in documents’ indexing or in Knowledge Maps. I hope that future models will have the capability of creating Maps inside the Reader and will that provide richer text formatting and processing.

    Unlike Sony’s Reader, Kindle DX offers wireless connectivity which allows browsing directly Web Pages; Sony should consider doing the same! Just imagine that you can annotate Web pages on your own Reader, isn’t that something?! Of course, it won’t work so easy with heavy content Web Pages, though that’s a start… Anyway, Digital Readers are in their baby steps, there is more to be expected from the use of digital paper technology on which such devices are based. Let’s see what the future reserves us in this direction!

28 May 2009

Mind Maps

    In 70’s Tony Buzan coined the term of Mind Map for his visual tool based on “radiant thinking” principle, cataloguing it as a “powerful graphing technique”, “expression of radiant thinking” or “a natural function of human mind”. He made public the concept in his first book on Mind Maps that appeared in 1974, “Use Your Head”, one year later appearing “The Mind Map Book”, over the years, if we give credit to [3], the number of books reached 85, being sold over 5 millions copies worldwide, in 100 countries and translated in 30 languages. Quite impressive, isn’t it?!

    A Mind Map is centred on a single idea (in some sources referred as topic, subject, theme or question), other ideas being associated to it in a radial fashion, resulting in the end a Map of ideas, from here the alternative denomination of Idea Map. “Idea” is maybe a too general term because it can represent a thought, concept or a statement in which multiple concepts are used. In most of the Mind Maps met, ideas are expressed in the form of Key-Words, and sometimes of symbols or images, especially on digital Maps. A Key-Word is supposed to encapsulate “a multitude of meanings in as small a unit as possible” [1], thus ideas reach to be expressed as single words, each word being the label in a hierarchical network. Maybe an example will make some light, so supposing that “Happiness” is the central idea, we can associate to it words that we relate in our mind to Happiness: “family”, “good job”, “free time”, “money”, “love”, “vacation”, etc. Each of these ideas can be further extended with other associations, “family” could be associated for example with the name of “wife”/”wives”, “husband(s)”, “kid(s)”, “dog(s)”, “parents” and “grandparents”, “cat(s)” and any other pats we consider to be part of the family. A “good job” presumes “good remuneration”, “appreciation”, “good boss”, “nice colleagues”, “nice environment”, “potential”, etc. “Free time” could include all the activities somebody likes to have in his/her free time; same exercise can be done for each idea included in the Map, ideas can be associated over and over again with other ideas. It seems like a never ending story… when do we stop then? Most probably when the paper ends or we get bored, these are two possible answers too, in the end it’s up to each person, how detailed he wants the Map, what he/she wants to achieve, etc.

Happiness – Mind Map created with FreeMind Happiness – Mind Map created with FreeMind

    A Mind Map can be regarded as a tree, in which the trunk represents the topic, the labelled leaves represent ideas, the forked branches themselves supporting the whole structure of the tree, their multiple forking representing the degree of detail the Map holds. The comparison with a tree is not accidental, tree-like drawings has been used since Antiquity to encode meaning (e.g. Tree of Life, Tree of Love), moreover representational purpose can be given also to the roots of the tree for example to represent base or fundamental ideas on which the whole foundation is built. Unlike trees, it could happen for example that two ideas from different braches can be associated too, for example “money” with “good job” resulting cross links between ideas. With each cross-links added the structure of the Map changes, becoming more like a network, though still relying on previous radial structure which becomes the Map’s backbone. Network-like Maps are more natural to represent knowledge, as knowledge has a networked rather than hierarchical structure.

    A Map can go through multiple stages, iterations if you want, some ideas are deleted, others added, new associations are made, techniques are improved, and so on. Therefore such Maps are evolutional, they can change over time as people identify new associations, acquire new information or knowledge, change their values, change themselves and even their way of thinking…Excepting the radial disposition of ideas there are theoretically no other constraints, people can use their imagination and built all kind of Maps. Moreover, people can use visual rhythm, patterns, colour or spatial awareness (dimension and gestalt) to make Mind Maps easier to read, understand or navigate. Somebody can use his artistic talent and make a kind of piece of art from a Map, with a little imagination and skill a 2D Map can become 3D. In T. Buzan’s books you can find lot of propaganda for the use of Mind Maps and the benefits of its various characteristics together with references to (important) studies concerning learning and brain/mind theories.

    A Map generally can be created by multiple people, the addition of ideas can be done independently or through consensus, the collective work can start from an idea, an already existing Map or the augmentation of all involved people’s Maps. Such collective or collaborative Maps can be used for example in learning or brainstorming, consensus playing an important role, and for example in a digital Map can be seen how the Map itself evolved and eventually also how the consensus was reached. [2] considers that there are 250 million Mind Mappers all over the world, jumping over the basis used for this consideration, even if their number raises up to several millions, that’s quite a number. Many Mind Mappers buy rich-functionality software tools for drawing digital Mind Maps, others resume to less rich functionality but free tools, they integrated the technique in everyday life, learning, teaching, presentations, decision-making, etc. It’s a form of knowledge representation, though the creation of Mind Maps is mainly for personal use, even if many Maps are available already in the public domain.

    On the other side researchers occupy their time by building more or less complete ontologies, above their other characteristics, they imply consensus and quite an effort and coordination. Why not take advantage of the impressive number of Mind/Knowledge Mappers, give them rich and free software tools, and allow them to make explicit their knowledge or map the knowledge available on the Web?! Is the idea plausible?! How many of you haven’t underlined words or phrases of interest in a book or article creating thus bookmarks?! How many of you tried to built a mental image (Map) of how they fit together or into the existing knowledge? If we consider the “success” of folksonomies, of Knowledge Maps themselves, the increasing number of Web Sites and blogs on this topic, I am strongly convinced that the transition from folksonomies to Maps will happen pretty soon, once the Web Technologies in particular and Web’s evolution in general will allow that.

References:
[1] Buzan, T. (1991). Speed Reading. Ed: 3rd Plume. ISBN: 978-0452266049
[2] Buzan, T., Buzan, B. (2007). The Mind Map Book. BBC ACTIVE. ISBN: 978-1-406-6102
[3] Buzan.com.au. (2008). Tony Buzan. [Online] Available from: http://www.buzan.com.au/buzan_centre/tony_buzan.html (Accessed: 29 May 2009)

17 May 2009

Utilizing Mind Maps as a Structure for Mining the Semantic Web

    In the past 2 and half years I followed the Online Masters Programme of University of Liverpool, it was intriguing, fun, time consuming and quite an effort as energy, money and personal life, and I hope it will pay back in time, the sooner the better. The modules were quite entertaining, I learn lot of new stuff and two years passed fast and slower than expected, then the dissertation came and things got pretty tough as I wanted to make it useful for me, to learn something meaningful on which I can built in the future and not something that will rot in a corner of the brain. I was not sure what to choose and frankly not even what I supposed to do.

    During the last modules I had the chance to read some material on Tony Buzan’s Mind Maps and it looked intriguing, I wish I had have read that stuff long time ago, but in the end better later than never. Why I found Mind Maps intriguing? First because they allow taking notes in a radiant fashion rather than using the old fashioned linear approach, by starting with a single idea (also referred as concept, subject, question) and built around it a whole Map using associations. In Mind Maps Key-Words are used to encapsulate a variety of meaning in smallest possible units, this step allowing some information filtering and processing, “obligating” the brain to actually integrate the new information in existing knowledge and represent already existing knowledge, identifying missing links, triggering other questions, etc. Thus on a piece of paper or in a electronic document, somebody can represent how concepts in a read material link to each other, making the subject clearer and I think easier to memorize and recall. Mind Maps can be also used to give life to own mental representations, as we all have created, voluntarily or involuntarily and map of the world we live in. Secondly, Mind Maps use symbols and graphical images, visual rhythms and patterns, colour and spatial awareness (dimension and gestalt), allowing people to take advantage of a broader set of cortical skills.

    Given these characteristics, Mind Maps seems to be perfect tools for Knowledge Representation in particular and Knowledge Management in general. During the Web Applications module I tangentially learned about XTM (eXtensible Topic Maps) and ontologies for Knowledge Representation, though ontologies call for experts and come with many issues, while XTM is a standard for Knowledge Interchange and targets internal representation in computers. On the other side digital Mind Maps are more flexible than ontologies, target a broader range of users, have the potential of harnessing the Collective Intelligence, one of Web 2.0’s competences, by allowing users to map their knowledge or the knowledge existing on the Web in documents. This is how appeared the title of my Dissertation paper, “Utilizing Mind Maps as a Structure for Mining the Semantic Web”.

    While diving in the subject, I found out that Mind Maps are just one of the Knowledge Maps used for various tasks, a search trough the literature revealing about 50 terms used to designate various types of Maps: argument maps, brace maps , bridge maps, bubble maps, causal maps, circle maps, cluster maps, cluster vee diagrams, clustering, cognitive maps, concept circle diagrams, concept maps, conceptual graphs, congregate maps, diagnostic maps, double bubble maps, dynamic cognitive maps, ecological maps, extended fuzzy cognitive maps, flow maps, frames, fuzzy cognitive maps, fuzzy relational maps, group maps, historical maps, idea maps, knowledge maps, mental maps, mind maps, multi-flow maps, neural cognitive maps, neutrosophic cognitive maps, node-link mappings, ontology, oval maps, probability fuzzy cognitive maps, rule-based fuzzy cognitive maps, semantic maps, semantic nets, semantic networks, shared maps, social maps, social mess maps, spider maps, strategy maps, taxonomy, text graphs, thinking maps, tree maps and virtual maps. Actually, the list might be much bigger, I expect I left out by mistake several terms, while on others I haven’t came across them until now.

    From several considerations, I preferred to treat the subject from the perspective of Knowledge Maps, so maybe a better title for my paper would have been “Utilizing Knowledge Maps as a Structure for Mining the Semantic Web”. As I found out later this cost me a huge amount of time and effort, I longed for more I could chew in the dedicated amount of time for a Dissertation paper, not having the time to bring the paper to the desired final form, letting out some research material and ideas. Anyway, now it’s over, good or bad the paper is finished and waiting for the final results. With this blog I’m hoping to bring into light some of the ideas I couldn’t put in the paper, help me do to further research into the subject and hopefully get also some feedback.

    I’m not sure yet whether I can put the paper in the public domain, therefore here is paper’s Table of Contents, with the mention that some of the topics (e.g. Fuzzy Cognitive Map) have only an informative character.

1. The Web
1.1 Introduction
1.2 Web 2.0
1.3 The Semantic Web
1.4 Semantic Web Problems
1.5 Beyond the Semantic Web
1.5.1 The Noosphere
1.5.2 Cognitive Machines
2. Philosophical Grounds
2.1 Introduction
2.2 From Meaning to Concept
2.3 Syntax, Semantics and Pragmatics
2.4 From data to wisdom
2.5 Types of Knowledge
2.6 Connectivism
2.6.1 Introduction
2.6.2 Chaos
2.6.3 Network
2.6.4 Complexity
2.6.5 Self-organization
2.7 Intelligence and Collective Intelligence
2.7.1 Intelligence
2.7.2 Collective Intelligence
2.7.3 Collective Web Intelligence
2.7.4 Web Technologies and Collective Intelligence
2.7.5 Offline Collective Intelligence
2.7.6. Collective Intelligence Forms
3. Knowledge Management
3.1 Introduction
3.2 Knowledge Representation
3.2.1 Introduction
3.2.2 Sub-conceptual level
3.2.3 Symbolic level
3.2.3.1 Generalities
3.2.3.2 The Frame Problem
3.2.3.4 The Symbol Grounding Problem
3.2.4 Conceptual level
3.2.5 Associationist level
3.2.6 Semantic level
3.3 From Mental Models to Knowledge Representation Structures
3.4 Historical Overview
3.5 Vocabularies
3.5.1 Controlled Vocabularies
3.5.1.1 Introduction
3.5.1.2 Indexing Schemes
3.5.1.3 Classification schemes
3.5.1.4 Thesauri
3.5.1.5 Taxonomies
3.5.2 Uncontrolled Vocabularies
3.5.2.1 Introduction
3.5.2.2 Folksonomies
3.6 Maps
3.6.1 Introduction
3.6.2 Semantic Nets
3.6.3 Frames
3.6.4 Mind Maps
3.6.5 Conceptual Graphs
3.6.6 Concept Maps
3.6.7 Neural Networks
3.6.8 Cognitive Maps
3.6.9 Fuzzy Cognitive Maps
3.6.9.1 Fuzzy Cognitive Maps
3.6.9.2 Rule-Based Fuzzy Cognitive Maps
3.6.9.3 Extended Fuzzy Cognitive Maps
3.6.9.4 Dynamic Cognitive Networks
3.6.9.5 Neural Cognitive Map
3.6.9.6 Neutrosophic Cognitive Maps
3.6.9.7 Probability Fuzzy Cognitive Maps
3.6.9.8 Fuzzy Relational Maps
3.6.10 Knowledge Maps
3.6.11 Topic Maps
3.6.12 Ontologies
3.6.12.1 Ontologies
3.6.12.2 Ontology Engineering
3.6.13 Other Knowledge Representation Structures
3.7 Analyzing Maps
3.7.1 Structural Comparison
3.7.2 Map Engineering
3.7.3 Mapping Tools
3.8 Harnessing Collective Intelligence for Knowledge Mapping
4. Data Mining the Semantic Web
4.1 Web Data Mining
4.2 Document Processing
4.3 The Case for Knowledge Representation Structures as Metadata
4.4. The Conceptual Knowledge Base
4.4.1 Introduction
4.4.2 Representational Elements of a Map
4.4.3 Operations with Maps
4.5 Mapping Descriptive Knowledge with Maps
4.5 Concepts in Documents’ classification
4.5.1 Introduction
4.5.2 Concept-Based Information Retrieval
4.5.3 Concept-Based Document Classification
5. Conclusions, Critics and Further Research
6 Appendix
6.1.Acronyms:
6.2 References:

05 May 2009

Network Theory Seminar with Tim Berners-Lee

    A must read seminar lecture with Tim Berners-Lee about Web, how it was born and evolved. It includes also a superb road map of the Web.
    The video is part of YouTube Edu, a collection of educational video, a more than welcomed initiative.

20 April 2009

Web's evolution - Part 1

    The Web 2.0 term was proposed by Tim O’Reilly in conference brainstorming session between O'Reilly and MediaLive International, in which he envisioned several competencies. With the new versioning the old fashioned Web, as we know it, became Web 1.0, while in the literature were mentioned other two versions - Web 3.0 for the Semantic Web and Web 4.0 for the Noosphere. There are many people who are not comfortable with the version addressing of the Web, on one side it doesn’t seem natural, while on the other side it’s the easiest manner to encompass the set of characteristics or philosophies in the smallest unit of meaning.

    The transition between the different versions is occasionally marked with vague comparisons in which are reflected two or three characteristics, some of them are fixed, while other dependent on authors’ expectations. Into the below table I tried to put together some of the characteristics of what each Web version is about, there are still blank spaces, there are even wild guesses about what the future might bring. The table is not perfect, but it summarizes somehow my understanding about Web’s expectations.

Dimension Web 1.0 Web 2.0 Web 3.0 (Semantic Web) Web 4.0 (Noosphere)
User participation read only read-write collaborate human-machine collaboration
Intelligence Individual Intelligence Collective Intelligence Swarm Intelligence ?
Content creation companies communities ecologies human-machine ecologies
Content focus owning sharing aggregating reasoning
Indexing directories/taxonomies folksonomies Knowledge Maps ?
User expression home pages blogs/webcasts social networks ?
DIKW focus data information knowledge wisdom
Macro-focus document centric content centric knowledge centric wisdom centric
Content accessibility Web forms Web Services meshups semantic applications
Content presentation web sites portals meshup aggregations ?
Content structuring HTML XML XML programming-based aggregation XML concept-based aggregation
Vector-based graphics applets RIA RIA 2 semantic RIA
Ads advertising pay-per-click ? ?
Information access searching subscription (to services) contextual filtering ?
Knowledge structure taxonomies ontologies networks Lego-like networks
Data mining emphasis Web logs behavior concept-based pragmatic

18 April 2009

The Semantic Web

    Even if I’m just a newbie in Semantic Web and Semantic Technologies, in the past months I had the chance to give some thought to this idea. The way I see it, the Semantic Web targets to make content processable and understandable by machines, and not necessarily targets, at this stage, to evolve the Web to a space of “machine reasoning”, in which machines can replace human reasoning with comparable results. This state of art won’t be achieved also in the next foreseen stage, named Noosphere by a few Web theoreticians, for example [1]. The Noosphere, formed from nous (mind) and sphere (space or circle), can be regarded as a “space of human thought” supposed to reflect in real time the dynamics of collective intelligence, the role of visualization (reflection) and aggregation tools being essential. In time, I suppose that machines will grow (in) intelligence, being more and more capable to handle various tasks more like humans. When this will happen?! Who knows… Along the time the world’s theoretical models barriers were pushed beyond previous existing limits, so everything is possible, even braking the barriers of Goedel’s incompleteness theorems.

    The Semantic Web is just a stage in the evolution of the Web, same as Web’s versions, it reflects a new way of thinking about Web, its role, expectations and tools supposed to fulfill them. Each person or community can have its own expectations and way of approaching the Semantic Web, lot of effort being spent in different directions, reinventing the wheel, technologies that die soon after they were born. Most of the researchers consider ontologies as the backbone on which the Semantic Web has to be built, many technologies focusing on this perspective. There are also scientists who question the achievability of a Semantic Web or the role of ontologies in this picture. C. Shirky’s [2], supported also by P. Gaendenfors [3], sustains that “the Semantic Web is a machine for creating syllogisms” and therefore it will improve only the areas that uses syllogistic reasoning. On the other side ontologies are just islands of knowledge not anchored in reality, they offer only a view/map of the world, and even if they reflect the commitment to common agreement, they are not a commitment to completeness. Ontologies are supposed to be created mainly by experts, involve high costs, considerable effort and coordination, and it seems that they follow the fallacies of OOP programming, breaking apart in their own complexity and require redesign when new facts are brought into the picture or the scope changes. As new knowledge is acquired or the requirements changes, the work on ontologies never ends, ontologies matching and integration involving other type of issues. Even more, to make things even fuzzier, M.K. Gergman [4] mentions more than 40 information structures that have been labeled in one way or another as ontology – tag cloud, controlled vocabulary, topic map, concept map, etc. Another important aspect neglected by ontologies seems to be the fuzzy nature of truth, while other issues derive from the information representational structure problems: symbol grounding problem, frame problem [5] and contextual emergence [6].

    The goal of the Semantic Web is to “get people to use more meta-data” [2], and why not to create metadata, of harnessing the Collective Intelligence, as [7] formulates it. It has started with wikis and folksonomies, and might continue with more complex annotations, for example Knowledge Maps. It is created thus a layer of connectivity on top of physical structure of the Web Graph.

    From my point of view Web theoreticians focus on high level goals and ignore the immediate needs of the users, which are often excluded from the Semantic Web equation. Models and technologies that target only the scientific world (e.g. ontologies) have low chances to make a difference in the Web space. The Web users need (free) tools that can be used for metadata creation, collaboration, information processing, knowledge mapping and diffusion. At least in the near future machines won’t achieve the thinking performances of humans about the world, though maybe once the Web riches the state of a Semantic Web, things would be much simpler.

References:
[1] Levy, P. (2005). From Cyberspace to Noosphere. [Online] Available from: http://www.minervaeurope.org/events/parma/papers/levy_ppt.ppt (Accessed: 26 January 2009)
[2] Shirky, C. (2003). The Semantic Web, Syllogism, and Worldview. [Online] Available from: http://www.shirky.com/writings/semantic_syllogism.html (Accessed: 7 February 2009)
[3] Gaerdenfors, P. (2004 B). Conceptual Spaces as a Framework for Knowledge Representation. [Online] Available from: http://www.mindmatter.de/mmpdf/gaerdenfors.pdf (Accessed: 9 January 2008)
[4] M.K. Gergman. 2009. ‘Structs’: Naïve Data Formats and the ABox.[Online] Available from: http://www.mkbergman.com/?p=471(Accessed: 17 April 2008)
[5] Duch, W. (1995) From cognitive models to neurofuzzy systems - the mind space approach. [Online] Available from: http://www.fizyka.umk.pl/publications/kmk/95sams.pdf (Accessed: 13 January 2009)
[6] Atmanspacher, H., Foundation, P., beim Graben, P. (2005). Contextual Emergence of Mental States from Neurodynamics. [Online] Available from: http://www.igpp.de/english/tda/pdf/potsdama12.pdf (Accessed: 13 January 2009)
[7] O’Reilly, T. (2005). What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software. [Online] Available from: http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20 (Accessed: 18 April 2009)