You Are All Crazy   Subjectivaly Speaking (Uploaded)
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You Are All Crazy Subjectivaly Speaking (Uploaded)



Keynote speach at the TMRA 2008, Leipzig 16 October

Keynote speach at the TMRA 2008, Leipzig 16 October



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  • Notice the circle in the lower-right corner; these are my assertions I put up on the screen, and I have the audience go either 'yeahyeahyeahyeah' if the agree, or 'nonononono' if they don't. By this we get a audible collective feel for some of the things being said. This first one obviously got a lot of 'nononononono' .... ::)
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  • I baked these Solskinnsboller myself

You Are All Crazy Subjectivaly Speaking (Uploaded) Presentation Transcript

  • 1. Alexander Johannesen, Bekk Consulting AS
  • 2.  
  • 3. DISCLAIMER : I love Topic Maps, and I get passionate about what I love. I think Topic Maps by itself will create peace on earth, solve world hunger and the energy crisis, so don’t expect me to dabble too much in the details. And, I love you.
  • 4.  
  • 5.
    • Monteverdi and baroque music
    • My wife pretending to understand me
    • My kids learn something that I value highly
    • Seriously complex challenges
    • Enabling connotational knowledge
  • 6. composer Not classical music! partnership responsibility Has a price Measurement or Opinion context Information science
    • Monteverdi and baroque music
    • My wife pretending to understand me
    • My kids learn something that I value highly
    • Seriously complex challenges
    • Enabling connotational knowledge
  • 7.  
  • 8. knowledge stories meaning humanity history culture
  • 9.
    • ” Ferociously concerned with the preservation and access to knowledge”
  • 10. Unique postition Libraries are trusted to do the right thing Keepers of knowledge and order People who care No nonsense, only truth Nice, but firm Global institution
  • 11.  
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  • 14.
    • Topic Maps made
    • me a better man
    • Forces me to
    • Ponder meaning of words and relations
    • Face modern IT problems differently
    • Define your solutions humanely
    • Think about what identity means
    • Focus on the information rather than technology
    • Relive my philosophical past in perpetual epistemology
  • 15.
    • Capturing knowledge in a way that’s easily dealt with by humans and computers alike
    • Ease knowledge representation and findability
    • Building an infrastructure for better cooperation of knowledge sharing
    • Something about ”subject-centric” or something …
  • 16. What’s a subject?
  • 17. “ Anything whatsoever, regardless of whether it exists or has any other specific characteristics, about which anything whatsoever may be asserted by any means whatsoever ” What’s a subject?
  • 18. A subject can be anything, and a topic represents it ” Memories of Prague” Semantic data model Huh, I thought a topic was “anything”?
  • 19.
    • Semantic
      • - Meaning, meaningful, knowledge, idea, concept, sense
    • Data
      • - Stuff, most often loosely based on reality
    • Modeling
      • - exaggerated representation of parts of reality
  • 20.
    • Models are concepts shaped by constraints
    “ freedom” free rights duality trapped RECAP
  • 21.
    • Models are concepts shaped by constraints
    “ freedom” free rights duality trapped Is_determined Have_influence Created_through RECAP
  • 22. PSI “ Alex ” , “ Alexander ” , “ Johannesen, Alex ” #nla-resource-team-member #nla-resource-person #nla-resource-employee “ Alex” #nla-resource-person “ Alexander” #nla-resource-team-member “ Johannesen, Alex” #nla-resource-employee XY project My new app Fish ontology
  • 23. Share your structures and data with outside sources as well Fiddle Project Dingbat Project AustLit project ontology XY project My new app Fish ontology
  • 24.  
  • 25.  
  • 26.  
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  • 28.
    • “ All models are wrong.
    • Some models are useful.”
    • -- George Box, statistiker, kjemiker
  • 29. bull
  • 30. head legs freedom milk It happens…
  • 31.  
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  • 37. The idea of a category is central... Most symbols (i.e., words & representations) do not designate particular things or individuals in the world... Most of our words & concepts designate categories. There is nothing more basic than categorization to our though, perception, action & speech. Every time we see something as a kind of thing [...] we are categorizing Lakoff, ”Women, Fire and dangerous things”
  • 38.  
  • 39.
    • an abstract container with things either inside or outside
    • clear boundaries
    • defined by common properties of the members
      • items are in the same category if and only if they have certain properties in common
    • independent of who is doing the categorising
    • no member of a category has any special status
    • all levels of a hierarchy are important and equivalent
  • 40. [Classical category theory] is built into the foundations of mathematics and into much of our current computer software. Since mathematical and computer models are being used more and more as intellectual tools in the cognitive sciences, it is not surprising that there is considerable pressure to keep the traditional theory of classification at all costs. It fits the available intellectual tools, and abandoning it would require the development of new intellectual tools. And retooling is no more popular in the academy than in industry. Lakoff, ”Women, Fire and dangerous things”
  • 41.
    • Categories, really
      • Derived from language; different languages classify things differently; there’s no universal categories
      • Basic category theory
        • Lakoff ”Women, Fire and Dangerous things”
        • Chairs, where some chairs are more ”chair” than others
      • Cognitive perception limits things’ modality which language further complicates ; we’re middle-sized beings with a knack for poetry
        • How can you understand how big the universe is when you’ve lived in a cave your whole life …
        • Models of understanding must be slowly built to overcome the perspective; it’s a genetic thing
  • 42.  
  • 43. Categories are not merely organized in a hierarchy from the most general to the most specific, but are also organised so that the categories that are most cognitively basic are "in the middle" of a general-to-specific hierarchy. Generalisation proceeds upward from the basic level and specialization proceeds down
  • 44.
    • A basic level category is roughly in the middle of a hierarchy
    • Learned earliest (how you teach kids)
    • Usually has a short name in frequent use
    • People are fast at identifying category members
    • Categories have best - or prototypical - examples, with some members of the category being more representative than other members
  • 45.
    • Most of our knowledge is organised around basic level categories (focus ontologies there for easy uptake?)
    • Dependent on the person who is thinking (scope needs more pimping)
    • No definitive basic level for a hierarchy
    • A single mental image can reflect the category
  • 46. 1 2 3 4
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  • 52.
    • Topic Maps
    • already supports
    • your crazy ideas
  • 53.
    • But we can only be
    • subject-centric together
    • with others
  • 54.
    • To be subject-centric …
    • Community involvement and evolvement low (and tricky to find and get into), and threshold of entry is very high
    • We’re a bit web shy, not part of the fabric of the web (no embedable XTM, [nearly] no exchange protocols after 10 years … we’re a bit slow on the ”cool” stuff), making experimentation through the worlds greatest network a bit slow
    • We’re silo farmers with a mechanism to break free, yet we haven’t embraced it much
  • 55.
    • To be subject-centric??
    • Categories are vocabulary, but where is the vocabulary level in Topic Maps? How can we share ontologies - speak people’s languages - when they’re undefined as such? OWL is a good constraint to create knowledge.
    • Who could make persistent identifiers that people would trust?
    • Subject-centric, or context-centric? What are subjects without constraints or relationships?
  • 56.  
  • 57.
    • Alexander Johannesen
    • Manager
    • +47 982 19 378
    • [email_address]