A methodology for semantic similarity measurement among metadata based information system

Jung Eun Lim, O. Hoon Choi, Hong Seok Na, Doo Kwon Baik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

To share information on specific domain, the information systems define their own metadata and use it. But metadata mismatch problem must be occurred when we try to share the information among heterogeneous domains. This paper proposes the method for enhancing semantic interoperability among information systems in heterogeneous domain. For this, we define a concept model on metadata which is described in Metadata Registry (MDR) and design a method for semantic similarity measurement among instances of concept model. With this method, it will be able to select the optimum metadata for in-formation sharing of systems on difference-domains.

Original languageEnglish
Title of host publicationProceedings - Fourth International Conference on Software Engineering Research, Management and Applications, SERA 2006
Pages202-205
Number of pages4
DOIs
Publication statusPublished - 2006
Event4th International Conference on Software Engineering Research, Management and Applications, SERA 2006 - Seattle, WA, United States
Duration: 2006 Aug 92006 Aug 11

Publication series

NameProceedings - Fourth International Conference on Software Engineering Research, Management and Applications, SERA 2006

Other

Other4th International Conference on Software Engineering Research, Management and Applications, SERA 2006
CountryUnited States
CitySeattle, WA
Period06/8/906/8/11

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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