Ontology Driven Document Identification in Semantic Web

Ontology Driven Document Identification in Semantic Web

Marek Reformat, Ronald R. Yager, Zhan Li
ISBN13: 9781605669922|ISBN10: 160566992X|ISBN13 Softcover: 9781616922634|EISBN13: 9781605669939
DOI: 10.4018/978-1-60566-992-2.ch009
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MLA

Reformat, Marek, et al. "Ontology Driven Document Identification in Semantic Web." Progressive Concepts for Semantic Web Evolution: Applications and Developments, edited by Miltiadis D. Lytras and Amit Sheth, IGI Global, 2010, pp. 186-220. https://doi.org/10.4018/978-1-60566-992-2.ch009

APA

Reformat, M., Yager, R. R., & Li, Z. (2010). Ontology Driven Document Identification in Semantic Web. In M. Lytras & A. Sheth (Eds.), Progressive Concepts for Semantic Web Evolution: Applications and Developments (pp. 186-220). IGI Global. https://doi.org/10.4018/978-1-60566-992-2.ch009

Chicago

Reformat, Marek, Ronald R. Yager, and Zhan Li. "Ontology Driven Document Identification in Semantic Web." In Progressive Concepts for Semantic Web Evolution: Applications and Developments, edited by Miltiadis D. Lytras and Amit Sheth, 186-220. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-992-2.ch009

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Abstract

The concept of Semantic Web (Berners, 2001) introduces a new form of knowledge representation – an ontology. An ontology is a partially ordered set of words and concepts of a specific domain, and allows for defining different kinds of relationships existing among concepts. Such approach promises formation of an environment where information is easily accessible and understandable for any system, application and/or human. Hierarchy of concepts (Yager, 2000) is a different and very interesting form of knowledge representation. A graph-like structure of the hierarchy provides a user with a suitable tool for identifying variety of different associations among concepts. These associations express user’s perceptions of relations among concepts, and lead to representing definitions of concepts in a human-like way. The Internet becomes an overwhelming repository of documents. This enormous storage of information will be effectively used when users will be equipped with systems capable of finding related documents quickly and correctly. The proposed work addresses that issue. It offers an approach that combines a hierarchy of concepts and ontology for the task of identifying web documents in the environment of the Semantic Web. A user provides a simple query in the form a hierarchy that only partially “describes” documents (s)he wants to retrieve from the web. The hierarchy is treated as a “seed” representing user’s initial knowledge about concepts covered by required documents. Ontologies are treated as supplementary knowledge bases. They are used to instantiate the hierarchy with concrete information, as well as to enhance it with new concepts initially unknown to the user. The proposed approach is used to design a prototype system for document identification in the web environment. The description of the system and the results of preliminary experiments are presented.

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