Conversion of Topic map metadata to RDF metadata for knowledge retrieval on the Web

Shinae Shin, Dongwon Jeong, Doo Kwon Baik

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

2 Citations (Scopus)

Abstract

The current Web is 'machine-readable', but not 'machine-understandable'. Therefore, new methods are required for machines to exactly understand an amount of Web information resources. A proposed solution for this issue is to use machine understandable metadata to describe information resources contained on the Web. There are two leading methods to describe metadata of Web information resources. One is Topic map, ISO/IEC JTC1's standard, and the other is RDF, WSC's standard. To implement effective semantic web (machine-understandable web), semantic web must handle all metadata of web information resources. For this, the necessity of interoperability is needed between Topic map area and RDF area. There are some previous researches on conversion method between Topic map and RDF, but these methods generate some loss of meaning or complicated result. In this paper, a new method to solve these issues is proposed. This method decreases the loss of implied semantics in comparison with the previous conversion methods and generate clear RDF graph.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages123-137
Number of pages15
Volume3647 LNCS
Publication statusPublished - 2005 Dec 1
Event2nd International Conference on Software Engineering Research and Applications, SERA 2004 - Los Angeles, CA, United States
Duration: 2004 May 52004 May 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3647 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Software Engineering Research and Applications, SERA 2004
CountryUnited States
CityLos Angeles, CA
Period04/5/504/5/7

    Fingerprint

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Shin, S., Jeong, D., & Baik, D. K. (2005). Conversion of Topic map metadata to RDF metadata for knowledge retrieval on the Web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3647 LNCS, pp. 123-137). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3647 LNCS).