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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Web Science: Conceptualization of the Semantic Web

Web Science: Conceptualization of the Semantic Web
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Author(s): Jinyoul Lee (State University of New York at Binghamton, USA), Surinder S. Kahai (State University of New York at Binghamton, USA), Yong-Jin Kim (State University of New York at Binghamton, USA), Bonn-Oh Kim (Seattle University, USA) and Paitin Katerattanakul (Western Michigan University, USA)
Copyright: 2007
Pages: 4
Source title: Managing Worldwide Operations and Communications with Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-929-8.ch136
ISBN13: 9781599049298
EISBN13: 9781466665378

Abstract

To develop semantic web, there needs to be a basis of ontologies. What are basis for web semantics, especially for information systems research area? To put it short, many organizations have accumulated a sea of knowledge represented in relational databases and related UML and entity-relationship models, data warehouses, XML schemas and documents, and other metadata repositories (Frankel et al., 2004). All these forms of knowledge can be the basis of semantic web ontologies. The purpose of this paper is to conceptualize semantic web. The consequences of this conceptualization can be discussed as the foundations of ontological applicability to general fields of semantic web. This enables commercial web to be transformed into semantic web. The role of conceptualization, thus, can be observed in the following perspective. We view semantic web ontologies as physical model while conceptualization in this paper as conceptual model. A simple analogy can be found in relational database; physical model (tables) vs. conceptual model (Entity-Relation Diagram).

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