Classification across disciplines: The same, only different

Barbara Kwasnik, Francis L. Miksa, David Crabbe

Research output: Contribution to journalArticlepeer-review


This session seeks to bridge the recognized gap between information science understandings of classification and the applications of classification techniques in various disciplines and the corporate world. Classification experts in the information sciences are challenged to look at classification from several perspectives: how do we serve different disciplines in the arts and sciences, whose discourse traditions vary?; what can we learn from the understandings of classification as it is used implicitly and explicitly to organize information in other fields?; and, from a corporate case, on the way an artificial intelligence technology approaches the problem of knowledge representation and classification.

Original languageEnglish (US)
Pages (from-to)493
Number of pages1
JournalProceedings of the ASIST Annual Meeting
StatePublished - Oct 2003
Externally publishedYes

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences


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