Naslov
Uncovering the Deep Web: Transferring Relational Database Content and Metadata to OWL Ontologies

Autori
Jurić, Damir ; Banek, Marko ; Skočir, Zoran

Izvornik
Lecture Notes in Artificial Intelligence / Subseries of Lecture Notes in Computer Science (0302-9743) 5177 (2008); 456-463

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
ontology; OWL; relational database; deep Web; WordNet; word sense disambiguation

Sažetak
Organizing the publicly available Web content into highly systematized domain ontologies is a necessary step in the evolvement of the Semantic Web. A large portion of that content called the deep Web is stored in relational databases and it is not accessible to Web search engines. Incorporation of the deep Web data results in domain ontologies richer both in content and in semantic relations. In this paper we introduce a framework for an automatic mapping of relational database metadata and content to domain ontologies written in OWL. Relational constructs: relations, attributes and primary-foreign key associations are translated to OWL classes, datatype properties and object properties. Database tuples become ontology instances. In order to define reference points for integration with other ontologies the constructed ontologies are further enriched with additional semantics from the WordNet lexical database using word sense disambiguation mechanisms. A software implementation of the approach has been developed and evaluated on case study examples.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA