%0 Journal Article %1 sowa06challenge %A Sowa, John F. %B Research Trends in Science, Technology and Mathematics Education %C Mumbai %D 2006 %E Ramadas, J. %E Chunawala, S. %K abduction classification deduction induction knowledge knowledge-representation logic ontology philosophy semweb %T The challenge of knowledge soup %X People have a natural desire to organize, classify, label, and define the things, events, and patterns of their daily lives. But their best-laid plans are overwhelmed by the inevitable change, growth, innovation, progress, evolution, diversity, and entropy. These rapid changes, which create difficulties for people, are far more disruptive for the fragile databases and knowledge bases in computer systems. The term knowledge soup better characterizes the fluid, dynamically changing nature of the information that people learn, reason about, act upon, and communicate. This article addresses the complexity of the knowledge soup, the problems it poses for computer systems, and the methods for managing it. The most important requirement for any intelligent system is flexibility in accommodating and making sense of the knowledge soup.

@article{sowa06challenge, abstract = {People have a natural desire to organize, classify, label, and define the things, events, and patterns of their daily lives. But their best-laid plans are overwhelmed by the inevitable change, growth, innovation, progress, evolution, diversity, and entropy. These rapid changes, which create difficulties for people, are far more disruptive for the fragile databases and knowledge bases in computer systems. The term knowledge soup better characterizes the fluid, dynamically changing nature of the information that people learn, reason about, act upon, and communicate. This article addresses the complexity of the knowledge soup, the problems it poses for computer systems, and the methods for managing it. The most important requirement for any intelligent system is flexibility in accommodating and making sense of the knowledge soup.}, added-at = {2007-08-24T13:31:38.000+0200}, address = {Mumbai}, author = {Sowa, John F.}, biburl = {https://www.bibsonomy.org/bibtex/2defc70e68a6e02754a5e8fac82b7225c/rafg}, booktitle = {Research Trends in Science, Technology and Mathematics Education}, citeulike-article-id = {1155349}, comment = {* Inleiding Informatie en kennis zijn ongestructureerd, dynamisch, vaag. Redeneercapaciteiten van menselijk brein zijn heel anders dan van computers. * Kennisrepresentatie - vaak volgens 'description logics' - ontologieën: Cyc, WordNet, Electronic Dictionary Research project - Cyc = culminatie van Aristotelische benadering * Kennissoep - bevat kleine en grote brokken, die enkel intern consistent moeten zijn - woorden in een natuurlijke of artificiële taal komen nooit helemaal overeen met de continue werkelijkheid - conclusie: we moeten systematisch zijn, maar onze systemen moeten _open_ zijn * Redeneren - Perceptie van vele feiten leidt via *inductie* tot kennissoep. - Met *abductie* vormen we daaruit een theorie, door brokken uit de kennissoep te combineren tot een nieuw geheel. - O.b.v. theorie kan *deductie* plaatsvinden (voorspellingen). Deze voorspellingen kunnen gefalsifieerd worden. * Toekomstig onderzoek - Als semweb wil werken, moet het zowel deductie als inductie en abductie ondersteunen. - Relevante informatie vinden: gebeurt o.b.v. associatie}, description = {CiteULike import}, editor = {Ramadas, J. and Chunawala, S.}, interhash = {1f2021e48535d7b1eca2e11787cb5552}, intrahash = {defc70e68a6e02754a5e8fac82b7225c}, keywords = {abduction classification deduction induction knowledge knowledge-representation logic ontology philosophy semweb}, organization = {Homi Bhabha Centre}, priority = {0}, timestamp = {2007-08-24T13:31:41.000+0200}, title = {The challenge of knowledge soup}, year = 2006 }