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Developing troubleshooting systems using ontologies

  • Reza Basseda
  • , Michael Kifer
  • , John P. Kane
  • , Steven Greenspan
  • , Paul I. Fodor
  • Stony Brook University
  • CA Inc.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Development of troubleshooting software is an attractive area of research for agent based system developers. In this project, we attempt to use ontologies extracted from different textual resources to automatically construct a troubleshooting virtual expert. In our solution, we verify the information about the structure of the system extracted from the textual document, then generate a conversation with the user in order to identify the problem and recommend appropriate remedies. To illustrate the approach, we have built knowledge base for a simple use case. A special parser generates conversations that can help the user solve software configuration problems.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013
Pages274-277
Number of pages4
DOIs
StatePublished - 2013
Event2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IATW 2013 - Atlanta, GA, United States
Duration: Nov 17 2013Nov 20 2013

Publication series

NameProceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013
Volume3

Conference

Conference2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IATW 2013
Country/TerritoryUnited States
CityAtlanta, GA
Period11/17/1311/20/13

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