Knowledge acquisition for knowledge management: position paper

Christopher A. Brewster, Fabio Ciravegna, Yorick Wilks

Research output: Chapter in Book/Published conference outputChapter


With this paper, we propose a set of techniques to largely automate the process of KA, by using technologies based on Information Extraction (IE) , Information Retrieval and Natural Language Processing. We aim to reduce all the impeding factors mention above and thereby contribute to the wider utility of the knowledge management tools. In particular we intend to reduce the introspection of knowledge engineers or the extended elicitations of knowledge from experts by extensive textual analysis using a variety of methods and tools, as texts are largely available and in them - we believe - lies most of an organization's memory.
Original languageEnglish
Title of host publicationProceeding of the IJCAI-2001 Workshop on Ontology Learning
Place of PublicationSeattle, WA
Publication statusPublished - 2001

Bibliographical note

© 2001 for the individual papers by the papers' authors. Copying permitted for private and scientific purposes. Re-publication of material requires permission by the copyright owners


  • knowledge
  • acquisition
  • knowledge management
  • automatisation
  • information extraction
  • IE
  • information retrieval
  • natural language processing
  • knowledge engineers


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