Generating metadata from web documents: a systematic approach

• Published in: Human-centric computing and information sciences Vol. 3; no. 1; pp. 1 - 17
• Main Authors: Hsueh, Hsiang-Yuan, Chen, Chun-Nan, Huang, Kun-Fu
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 10.05.2013; Korea Information Processing Society, Computer Software Research Group; BioMed Central Ltd
• Subjects: Annotations; Artificial Intelligence; Communications Engineering; Computation; Computer Science; Computer Systems Organization and Communication Networks; Information Systems and Communication Service; Information Systems Applications (incl.Internet); Metadata; Networks; Query processing; Searching; Semantics; User Interfaces and Human Computer Interaction; Semantic web; Metadata; Resource description framework
• ISSN: 2192-1962; 2192-1962
• DOI: 10.1186/2192-1962-3-7

In this paper, a mechanism generating RDF Semantic Web schema from Web document set as the semantic metadata is proposed. Analyzing both the structural and un-structural content of Web documents, semi-structured Web documents can be conceptualized as resource objects with inter-relationships in RDF diagram. Technically, hyperlinks, basic annotations, and keywords in web documents will be properly analyzed, and corresponding RDF schema will be generated following the mechanism and rules proposed in this paper. It is expected that with the semantic metadata of document sets on the Web being systematically translated instead of manually edited, the semantic operation on the Web, such as semantic query or semantic search, will be possible in the future.