期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：63
期号：3
出版社：Journal of Theoretical and Applied
摘要：The Conventional Web matches the search index given by the user in the available document repository and retrieves those documents for information retrieval. The Semantic Web, the extension of conventional web retrieves not the documents by the mentioned method, instead finds the semantics of the given search index and retrieves the information from the knowledge repository. One such knowledge representation format is Ontology. Ontology is generated in two ways. One is through manual creation by Ontology language developers with the help of domain experts. The problem in this method is either the domain experts need to be familiar with the Ontology development language or the developers of Ontology should have domain expertise. The other method is converting the available structured data into Ontology. Since more than 70% of the Web retrieval is from Relational Data Base contents, conversion of Relational Data Base contents into Ontology documents is in need. This conversion is required for two reasons. One is to give solution to the first approach and the other is, Relational Data Base content is rich in data but the retrieval is not rich in semantics. Since the Ontology lacks rich data, the conversion from available data collection to a semantic data format needs focus. This paper proposes a framework for converting Relational Data Base contents into Ontology contents by following certain mapping rules. These rules give the direct or simple transformation from Relational Data Base components and data into the corresponding Ontology components. This paper also proposes the semantics based conversion rules which gives more reasoning support to the Ontology document to provide efficient information retrieval.
关键词：Semantic web; Schema; Mapping; Ontology; Resource Description Framework (RDF); RDF Schema (RDFS); Web Ontology Language (OWL); Description Language (DL); First Order Logic (FOL)
