Semantic annotation and case-based retrieval of fixture design case

Bo Gao, Yan Yan, Hong Sheng Ding, Bo Dong, Fa Ping Zhang

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

Abstract

In order to develop an intelligent Case-based Reasoning system and meet the need of knowledge reuse of fixture design process, ontology technology is integrated in CBR system, Fixture design domain ontology is constructed, and concepts and relations are defined and represented. Semantic annotation of fixture design case is achieved. The similarity estimation approach is presented to resolve the problem of semantic retrieval of fixture design case. Finally, prototype system based on proposed method is introduced and the information retrieval approach is proved efficiently.

Original languageEnglish
Title of host publicationAutomatic Control and Mechatronic Engineering II
Pages483-487
Number of pages5
DOIs
Publication statusPublished - 2013
Event2nd International Conference on Automatic Control and Mechatronic Engineering, ICACME 2013 - Bangkok, Thailand
Duration: 21 Jun 201322 Jun 2013

Publication series

NameApplied Mechanics and Materials
Volume415
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Automatic Control and Mechatronic Engineering, ICACME 2013
Country/TerritoryThailand
CityBangkok
Period21/06/1322/06/13

Keywords

  • Case-based retrieval
  • Ontology
  • Semantic annotation
  • Similarity measurement

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