Paper Info
Title
Export of Relational Databases to RDF Databases by Model Transformations.
Abstract
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.
Year
DOI
Venue
2011
10.1007/978-3-642-24511-4_12
Lecture Notes in Business Information Processing
Keywords
Field
DocType
OWL,RDF,relational database,migration
Data mining,Information retrieval,Relational database,Computer science,Semantic gap,Semantic Web,Database schema,SPARQL,RDF Schema,RDF,Web Ontology Language
Conference
Volume
ISSN
Citations 
90
1865-1348
0
PageRank 
References 
Authors
0.34
7
1
Name
Order
Citations
PageRank
Sergejs Rikacovs1153.42