Skip Navigation

IEICE Transactions on Information and Systems 2008 E91-D(11):2626-2637; doi:10.1093/ietisy/e91-d.11.2626
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Request Permissions
Google Scholar
Right arrow Articles by SHIN, S.
Right arrow Articles by BAIK, D.-K.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Copyright © 2008 The Institute of Electronics, Information and Communication Engineers

Special Section on Knowledge, Information and Creativity Support System -- Papers -- Knowledge Representation

Novel Topic Maps to RDF/RDF Schema Translation Method

Shinae SHIN1, Dongwon JEONG2 and Doo-Kwon BAIK1

1 The authors are with the Department of Computer Science and Engineering, Korea University, Anam-dong, Seognbuk-Gu, Seoul, 136–701 Korea. E-mail: sashin{at}nia.or.kr, 2 The author is with the Department of Informatics and Statistics, Kunsan National University, Miryong-dong, Gunsan, Jeollabuk-do, 573–701 Korea.


  Abstract

We propose an enhanced method for translating Topic Maps to RDF/RDF Schema, to realize the Semantic Web. A critical issue for the Semantic Web is to efficiently and precisely describe Web information resources, i.e., Web metadata. Two representative standards, Topic Maps and RDF have been used for Web metadata. RDF-based standardization and implementation of the Semantic Web have been actively performed. Since the Semantic Web must accept and understand all Web information resources that are represented with the other methods, Topic Maps-to-RDF translation has become an issue. Even though many Topic Maps to RDF translation methods have been devised, they still have several problems (e.g. semantic loss, complex expression, etc.). Our translation method provides an improved solution to these problems. This method shows lower semantic loss than the previous methods due to extract both explicit semantics and implicit semantics. Compared to the previous methods, our method reduces the encoding complexity of resulting RDF. In addition, in terms of reversibility, the proposed method regenerates all Topic Maps constructs in an original source when is reverse translated.

Key Words: Topic Maps, RDF, Semantic Web, Web ontology, Web metadata

Manuscript received April 22, 2008. Manuscript revised July 4, 2008.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.