European
Semantic Web Conference (ESWC15),
Portoroz, Slovenia,
May 31- June 4,
2015.
Springer LNCS 9088,
pp. 21-37.
RODI: A Benchmark for Automatic Mapping Generation in
Relational-to-Ontology Data Integration
Christoph Pinkel, Carsten Binnig, Ernesto Jiménez-Ruiz, Wolfgang May, Dominique Ritze, Martin G. Skjæveland, Alessandro Solimando, Evgeny Kharlamov
Abstract:
A major challenge in information management today is the integration
of huge amounts of data distributed across multiple data sources. A suggested
approach to this problem is ontology-based data integration where legacy data
systems are integrated via a common ontology that represents a unified global
view over all data sources. However, data is often not natively born using these
ontologies. Instead, much data resides in legacy relational databases. Therefore,
mappings that relate the legacy relational data sources to the ontology need to
be constructed. Recent techniques and systems that automatically construct such
mappings have been developed. The quality metrics of these systems are, however,
often only based on self-designed benchmarks. This paper introduces a new pub-
licly available benchmarking suite called RODI, which is designed to cover a wide
range of mapping challenges in Relational-to-Ontology Data Integration scenarios.
RODI provides a set of different relational data sources and ontologies
(representing a wide range of mapping challenges) as well as a scoring function with which
the performance of relational-to-ontology mapping construction systems may be
evaluated.
An extended version of this paper, published in the Semantic Web Journal, can be found
here.
More information can be found on the
RODI homepage.
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