Authoring cases from Free-Text Maintenance Data

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TypeArticle
ConferenceProceedings of IAPR International Conference on Machine Learning and Data Mining (MLDM 2003), July 5-7, 2003., Leipzig, Germany
Subjectcased-based reasoning; case creation; case base management; natural language processing
AbstractAutomatically authoring or acquiring cases in the case-based reasoning (CBR) systems is recognized as a bottleneck issue that can determine whether a CBR system will be successful or not. In order to reduce human effort required for authoring the cases, we propose a framework for authoring the case from the unstructured, free-text, historic maintenance data by applying natural language processing technology. This paper provides an overview of the proposed framework, and outlines its implementation, an automated case creation system for the Integrated Diagnostic System. Some experimental results for testing the framework are also presented.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number45813
NPARC number5765639
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Record identifier87de02eb-c1d7-47f9-90cb-3e40e29e92fe
Record created2009-03-29
Record modified2016-05-09
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