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A Converting Method from Topic Maps to RDFs without Structural Warp and Semantic Loss  

Shin Shinae (한국전산원 정보화표준부)
Jeong Dongwon (군산대학교 정보통계학과)
Baik Doo-Kwon (고려대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Databases / v.32, no.6, 2005 , pp. 593-602 More about this Journal
Abstract
Need for machine-understandable web (Semantic web) is increasing in order for users to exactly understand Web information resources and currently there are two main approaches to solve the problem. One is the Topic map developed by the ISO/IEC JTC 1 and the other is the RDF (Resource Description Framework), one of W3C standards. Semantic web supports all of the metadata of the Web information resources, thus the necessity of interoperability between the Topic map and the RDF is required. To address this issue, several conversion methods have been proposed. However, these methods have some problems such as loss of meanings, complicated structure, unnecessary nodes, etc. In this paper, a new method is proposed to resolve some parts of those problems. The method proposed is called NOWL (NO structural Warp and semantics Loss). NOWL method gives several contributions such as maintenance of the original a Topic map instance structure and elimination of the unnecessary nodes compared with the previous researches.
Keywords
Topic Map; RDF; Semantic Web; Conversion; Web Metadata;
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