Semantic Web Enabled Search Systems Based on the Domain Specific Ontology for Global Knowledge Management
Jaehun Joo, Sang M. Lee
Abstract
Jaehun Joo, Sang M. Lee
Abstract
The Semantic Web is an extension of the current Web in which information is given a well-defined meaning, thus better enabling people to work more efficiently with computers. The Semantic Web handles machine-processable information. Its underlying technologies are Resource Description Framework (RDF), RDF Schema (RDFS), and ontology as the shared formal conceptualization of particular domains. The purpose of this study is to implement a Semantic Web enabled search system in the tourism business domain. The system exploits Web Ontology Language (OWL) as the standard ontology language proposed by W3C and Jena that is a Semantic Web toolkit, namely a Java framework for Semantic Web applications.
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The Semantic Web is an extension of the current Web in which information is given a well-defined meaning, thus better enabling people to work more efficiently with computers. The Semantic Web handles machine-processable information. Its underlying technologies are Resource Description Framework (RDF), RDF Schema (RDFS), and ontology as the shared formal conceptualization of particular domains. The purpose of this study is to implement a Semantic Web enabled search system in the tourism business domain. The system exploits Web Ontology Language (OWL) as the standard ontology language proposed by W3C and Jena that is a Semantic Web toolkit, namely a Java framework for Semantic Web applications.
Key concepts: Computer science, OWL-S, Social Semantic Web, Semantic Web Stack, Semantic Web, Semantic analytics, Semantic Web Rule Language, Ontology Inference Layer