Knowledge semantic search in cloud manufacturing

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

Abstract

In cloud manufacturing system, the distributed stored knowledge is in multiple forms and structure, and its contents are in multiple fields. In this paper, a semantic search engine method based on shared ontology is presented. The application status of ontology in semantic search is studied. In order to enhance the recall rate and precision rate, this search engine computes the semantic matching degree between user requirements and knowledge by semantic similarity computing and logical reasoning.

Original languageEnglish
Title of host publication25th European Modeling and Simulation Symposium, EMSS 2013
Pages276-281
Number of pages6
StatePublished - 2013
Event25th European Modeling and Simulation Symposium, EMSS 2013 - Athens, Greece
Duration: 25 Sep 201327 Sep 2013

Publication series

Name25th European Modeling and Simulation Symposium, EMSS 2013

Conference

Conference25th European Modeling and Simulation Symposium, EMSS 2013
Country/TerritoryGreece
CityAthens
Period25/09/1327/09/13

Keywords

  • Cloud manufacturing
  • Knowledge
  • Matching degree
  • Semantic search
  • Shared ontology

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