Bringing Relational Databases into the Semantic Web: A Survey

Spanos, D.-E.; Stavrou, P.; Mitrou, N.

dc.contributor.author	Spanos, D.-E.	en
dc.contributor.author	Stavrou, P.	en
dc.contributor.author	Mitrou, N.	en
dc.date.accessioned	2014-03-01T02:14:56Z
dc.date.available	2014-03-01T02:14:56Z
dc.date.issued	2012	en
dc.identifier.issn	1570-0844 (Print); 2210-4968 (Online)	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30183
dc.subject	Relational database	en
dc.subject	Semantic Web	en
dc.subject	ontology	en
dc.subject	mapping	en
dc.subject	OWL	en
dc.subject	survey	en
dc.subject.classification	Information Technology	en
dc.subject.classification	Artificial Intelligence	en
dc.subject.classification	Theory of Computation	en
dc.title	Bringing Relational Databases into the Semantic Web: A Survey	en
heal.type	journalArticle	en
heal.identifier.primary	10.3233/SW-2011-0055	en
heal.identifier.secondary	http://dx.doi.org/10.3233/SW-2011-0055	en
heal.publicationDate	2012	en
heal.abstract	Relational databases are considered one of the most popular storage solutions for various kinds of data and they have been recognized as a key factor in generating huge amounts of data for Semantic Web applications. Ontologies, on the other hand, are one of the key concepts and main vehicle of knowledge in the Semantic Web research area. The problem of bridging the gap between relational databases and ontologies has attracted the interest of the Semantic Web community, even from the early years of its existence and is commonly referred to as the database-to-ontology mapping problem. However, this term has been used interchangeably for referring to two distinct problems: namely, the creation of an ontology from an existing database instance and the discovery of mappings between an existing database instance and an existing ontology. In this paper, we clearly define these two problems and present the motivation, benefits, challenges and solutions for each one of them. We attempt to gather the most notable approaches proposed so far in the literature, present them concisely in tabular format and group them under a classification scheme. We finally explore the perspectives and future research steps for a seamless and meaningful integration of databases into the Semantic Web.	en
heal.publisher	IOS Press	en
heal.journalName	Semantic Web	en
dc.identifier.doi	10.3233/SW-2011-0055	en
dc.identifier.volume	3	en
dc.identifier.issue	2	en
dc.identifier.spage	169	en
dc.identifier.epage	209	en