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INTRODUCTION KOS & INFORMATION STRUCTURES

INTRODUCTION KOS & INFORMATION STRUCTURES.

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INTRODUCTION KOS & INFORMATION STRUCTURES

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  1. INTRODUCTION KOS & INFORMATION STRUCTURES I am not a member of the KOS community, but I work in a nearby field, which I call information structures. Information is a broader term than knowledge, because it includes stuff like laws, lies and ordinary conversations. Unlike organization, which is created, structures are naturally occurring systems of relations. However, organization of knowledge is often based on selecting a relational structure. The scientific question I am pursuing is “what are all the important ways in which pieces of information are related?” What follows is a sketch of a case study plus a few sentences about my general theory of information structure. The case study is something we call OSTI’s Science Word Web. It is presently used to help people find search terms, but we will look at its beautiful structure, which is rather like a sailing ship. This is all very introductory so anyone who wants to know more should contact me personally. David Wojick WojickD@osti.gov

  2. SCIENCE WORD WEB A SAILING SHIP MODEL TOP NODE = SCIENCE RIGGING 45,000 PATHS 2D-CROSS-FACET TAXONOMY BODY 30,000 TERM THESAURUS 3,500 MINI TAXONOMIES (BT/NT) 200,000 TERM-TERM LINKS (RT) DAVID WOJICK WOJICKD@OSTI.GOV www.osti.gov/taxonomy

  3. WORD WEB BODY - A THESAURUS Target term: Climate Models Broader Terms: Mathematical Models Narrower Terms: none Related Terms: Ambient Temperature Atmospheric Circulation Box Models Climates General Circulation Models Meteorology Paleoclimatology Seasonal Variations Preferred Terms: none Non-Preferred Terms: none

  4. WORD WEB RIGGING A 2D-CROSS-FACET TAXONOMY DISCIPLINES X CHARACTERISTICS Mathematics Physics Chemistry and Chemical Engineering Biomedical Sciences Earth Sciences Geography Engineering and Technology Economics Management Defense/Military (many sub-disciplines) Theories, Models, Principles, Laws Effects, Processes, Methods Measurement    Mathematical Objects and Entities Natural Objects and Entities Money Policy Facilities Etc. (40-50)

  5. WORD WEB INTEGRATION CONNECTING THE RIGGING TO THE BODY EVERY PATH IN THE TAXONOMY ENDS AT A BROADEST TERM IN THE THESAURUS TAXONOMY 45,000 PATHS THESAURUS 3500 MINI TAXONOMIES MATHEMATICAL MODEL RESONANCE 13 PATHS PER MINI MINI TAXONOMY MINI TAXONOMY

  6. SCIENCE WORD WEB HOW SEE? HOW USE? TOP NODE = SCIENCE RIGGING 45,000 PATHS 2D-CROSS-FACET TAXONOMY BODY 30,000 TERMS 3,500 MINI TAXONOMIES (BT/NT) 200,000 TERM-TERM LINKS (RT) DAVID WOJICK WOJICKD@OSTI.GOV www.osti.gov/taxonomy

  7. A THEORY OF INFORMATION STRUCTURES www.bydesign.com/powervision/Mathematics_Philosophy_Science/information.html A. OPERATIONAL DEFINITION: INFORMATION IS THE PROPOSITIONAL CONTENT OF EXPRESSED THOUGHT B. EVERY PIECE OF INFORMATION…. 1. HAS A PHYSICAL NATURE 2. EXPRESSES A PROPOSITION 3. WHICH HAS A REFERENT C. THE SYSTEM DEFINED BYA SPECIFIC RELATION BETWEEN THESE COMPONENTS IS AN INFORMATION STRUCTURE D. A BODY OF INFORMATION MAY HAVE MANY STRUCTURES; SOME ARE UNKNOWN

  8. EXAMPLES OF STRUCTURE BASED KNOWLEDGE ORGANIZATION 1. PHYSICAL NATURE (WHO, WHEN, WHERE, ETC.): -- AUTHOR, DATE, COUNTRY OR INSTITUTION 2. PROPOSITIONS EXPRESSED (WHAT IT SAYS): -- TITLE, SEARCH HITS OR NAVIGATION LINKS 3. REFERENTS (WHAT IT IS ABOUT): -- SUBJECT CATEGORIES, VARIOUSLY DEFINED DUE TO DIFFERENT RELATIONS BETWEEN REFERENTS. THERE IS NO UNIQUE SET OF SUBJECT CATEGORIES. NOTE: TECHNICALLY, ALPHABETICAL LISTING IS ALWAYS A PHYSICAL NATURE RELATION, BECAUSE PROPOSITIONS ARE INDEPENDENT OF LANGUAGE . LOGIC IS THE SCIENCE OF PROPOSITIONS.

  9. Dr. David Wojick is senior consultant for innovation with the Office of Scientific and Technical Information of the US Dept. of Energy (www.osti.gov). OSTI owns or operates some of the world's largest science Web portals, including www.worldwidescience.org, www.science.gov, and www.scienceaccelerator.gov. Dr. Wojick is a cognitive scientist, whose research covers the structure and dynamics of complex information, including visualization, modeling and search logic. His Ph.D. is in Philosophy of Science and Mathematical Logic, with a BS in Civil Engineering. He has served on the faculty of Carnegie Mellon University, and the staffs of the Office of Naval Research and the Naval Research Laboratory. He has been a consultant to many US Federal agencies. Some of Dr. Wojick's basic writings are at www.osti.gov/ostiblog as well as www.bydesign.com/powervision/Mathematics_Philosophy_Science. His most recent paper -- "Population modeling of the emergence and development of scientific fields" -- is at http://web.mit.edu/dikaiser/www/BKKCW.PopModels.pdf. Contact: WojickD@osti.gov

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