Function-based solution retrieval and semantic search in mechanical engineering

Andreas Gaag, Andreas Kohn, Udo Lindemann

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

20 Scopus citations

Abstract

Providing relevant information at the right time to the right person is a key-factor for successful products and for efficient processes in mechanical engineering. To support the information chain in the area of product development - and especially in retrieving existing solutions - different approaches exist (e.g. keyword search, classifications). Nevertheless, various barriers still hinder a fast and easy access to information about existing solutions. The presented research approach improves knowledge reuse in the intra- or inter-enterprise information exchange by using semantic technologies. The access to relevant information about possible solutions is based on describing solutions by functions. These functions are abstracted and structured according to their goals. The function-based description is realized in an ontology model, based on classifications and standards used in German industries. Undertaking the first step, the ontology is built by extracting relevant concepts from different documents. The presented research approach will be used to structure solutions in a web-based electronic-market-platform and provides the access to various solutions from different sectors and enterprises.

Original languageEnglish
Title of host publicationDS 58-8
Subtitle of host publicationProceedings of ICED 09, the 17th International Conference on Engineering Design
Pages147-158
Number of pages12
StatePublished - 2009
Event17th International Conference on Engineering Design, ICED 09 - Palo Alto, CA, United States
Duration: 24 Aug 200927 Aug 2009

Publication series

NameDS 58-8: Proceedings of ICED 09, the 17th International Conference on Engineering Design

Conference

Conference17th International Conference on Engineering Design, ICED 09
Country/TerritoryUnited States
CityPalo Alto, CA
Period24/08/0927/08/09

Keywords

  • Function models
  • Information retrieval
  • Ontology development
  • Solution search

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