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Muf: tool for knowledge extraction and knowledge base building

Published: 28 October 2007 Publication History

Abstract

Muf is a tool for knowledge base (KB) building by extract-ing knowledge from texts. It is intended for cases when all documents have to be processed manually in order to ensure correctness of KB. Muf provides visual tools and some degree of mechanization to facilitate manual knowledge extraction and KB building. We also believe that manual processing of documents implies small number of docu-ments and it further implies that KB use case is well de-fined. Well defined use case allows us to decide which knowledge is worth of extraction and which not. Reducing amount of extracted knowledge also leads to less complex structure of KB. This all makes extraction and KB building tasks even easier, KB is easier to understand and deploy. If some parts of KB happen to be incorrect, Muf is able to trace the corresponding knowledge down to the text and allow user to fix it. The work was done on Czech drug la-bels, but we believe that Muf can be used also for different languages as well as different kinds of documents.

References

[1]
Noy, N.F., McGuinness, D.L., Ontology development 101: A guide to creating your first ontology, Stanford University, Knowledge Systems Laboratory, available at <http://www-ksl.stanford.edu/numberindex.html>
[2]
Simper, E. P. B., Tempich, C., Ontology Engineering: A Reality Check, Free University of Berlin, available at <http://ontocom.ag-nbi.de/docs/odbase2006.pdf>

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cover image ACM Conferences
K-CAP '07: Proceedings of the 4th international conference on Knowledge capture
October 2007
216 pages
ISBN:9781595936431
DOI:10.1145/1298406
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2007

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Author Tags

  1. drug labels
  2. knowledge base building
  3. knowledge extraction systems

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K-CAP07
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K-CAP07: International Conference on Knowledge Capture 2007
October 28 - 31, 2007
BC, Whistler, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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