The Challenge of Knowledge Soup. Sowa, J. F. In Ramadas, J. & Chunawala, S., editors, Research Trends in Science, Technology and Mathematics Education, pages 55–90. Tata Institute of Fundamental Research, Mumbai, India, May, 2006.
abstract   bibtex   
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.
@incollection{sowaChallengeKnowledgeSoup2006,
  title = {The Challenge of Knowledge Soup},
  booktitle = {Research {{Trends}} in {{Science}}, {{Technology}} and {{Mathematics Education}}},
  author = {Sowa, John F.},
  editor = {Ramadas, Jayashree and Chunawala, Sugra},
  year = {2006},
  month = may,
  pages = {55--90},
  publisher = {{Tata Institute of Fundamental Research}},
  address = {{Mumbai, India}},
  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.},
  isbn = {978-81-8487-258-3},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-294543,artificial-intelligence,automatic-knowledge-generation,automatic-knowledge-mapping,automation-irony,cyc,expert-systems,knowledge-integration,learning,mathematical-reasoning,metaknowledge},
  lccn = {INRMM-MiD:c-294543}
}

Downloads: 0