Export of Relational Databases to RDF Databases by Model Transformations

Autor:	Sergejs Rikacovs
Rok vydání:	2011
Předmět:	Information retrieval Relational database Computer science RDF Schema Database schema Web Ontology Language computer.file_format computer.software_genre SPARQL Data mining RDF computer Semantic Web computer.programming_language Semantic gap
Zdroj:	Lecture Notes in Business Information Processing ISBN: 9783642245107 BIR
DOI:	10.1007/978-3-642-24511-4_12
Popis:	The Semantic Web is a Web of Data. To fulfill this web with data we need methods how to transfer business data from existing relational databases. In most cases, textual mapping languages are used for the specification of correspondences between relational DB schema and OWL ontology. These languages generally are rather awkward and not well-suited for the specification of mappings in cases when there is a substantial semantic gap between the source ER schema and the target OWL ontology. At the same time specification of mappings is a classical use case for graphical model transformation languages. In our previous work [10] we have proposed a new, model transformation-based method for the specification of correspondences between the elements of DB schema and OWL ontology. During practical approbation of this method it became clear that the proposed method can be improved with respect to RAM usage and execution performance. In this paper we describe improvements of the previously proposed method that allows us to overcome these problems.
Databáze:	OpenAIRE
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