Automated ontology selection based on description logic

Xiaodong Wang, Lei Guo, Jun Fang

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

7 Scopus citations

Abstract

With the widespread use of Ontology and extension of Ontology repositories, there come deficiencies on Ontology Selection. The deficiencies are mainly low automated level and absence of Ontological knowledge in the selection criteria. To fill the gaps, we propose a Description Logic based Automated Ontology Selection Framework (DL-AOSF), which consists of automated components and is designed to be suitable for various application scenarios. The core algorithm of DL-AOSF adopts dual criteria, viz. topic coverage and knowledge richness, to comprehensively assess the satisfaction of candidates with concrete application information need. Distinguishing from other Ontology selections, DL-AOSF implements the knowledge richness criteria on semantic level, by using knowledge-driven Ontology modularization technique and DL reasoning. The preliminary experimental results indicate DL-AOSF is valid and promising.

Original languageEnglish
Title of host publicationProceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD
Pages482-487
Number of pages6
DOIs
StatePublished - 2008
Event2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD - Xi'an, China
Duration: 16 Apr 200818 Apr 2008

Publication series

NameProceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD
Volume1

Conference

Conference2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD
Country/TerritoryChina
CityXi'an
Period16/04/0818/04/08

Keywords

  • Description Logic (DL)
  • Modularization
  • Ontology selection
  • Reasoning

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