Cross-lingual Querying and Comparison of Linked Financial and Business Data

Sean O'Riain, Barry Coughlan, Paul Buitelaar, Thierry Declerck, Hans-Ulrich Krieger, Susan Marie-Thomas

In: Proceedings of the 10th Extended Semantic Web Conference. Extended Semantic Web Conference (ESWC-13) 10th May 26-30 Montpellier France Springer 2013.


Cross lingual querying of financial and business data from multi-lingual sources requires that inherent challenges posed by the diversity of financial concepts and languages used in different jurisdictions be addressed. Ontologies can be used to semantically align financial concepts and integrate financial facts with other company information from multilingual, semi-structured and unstructured Open Data sources. Availability as Linked Data then allows cross-lingual interrogation of the interlinked multi-lingual data set. This paper presents how the use of semantics and Linked Data enables the alignment and integration of business and financial facts provided by the different European Business Registers. The demonstrator allows business users to query multilin-gual data, perform comparisons, and review generated financial metrics.


German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz