Authors:
Sohee Jang
;
Insuk Park
;
Hoyun Cho
and
Soon Joo Hyun
Affiliation:
School of Engineering, Information and Communications University, Korea, Republic of
Keyword(s):
Semantic Web, Relational Database, Web Ontology Language (OWL).
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
Semantic Web provides means to share well-defined meaning of terms with semantically annotated information. In the current Web, most of the Web applications generate Web contents dynamically at the time of user request from underlying relational databases. To represent the relational data to the Semantic Web environment, the relational data should be transformed into the ontology form. In this paper, we propose a Semantic Web technique to convert relational database into ontology in OWL using multi-way semantics extraction technique. Extracted from E/R modeling components, schema descriptions and stored data, the generated ontology will provide application developers with rich semantics so as to quickly build a knowledge base for advanced Semantic Web services. Extracting the semantic information out of the traditional databases will provide enterprises with more opportunities for many value-added services.