Cross-lingual querying and comparison of linked financial and business data

  • Seán O'Riain
  • , Barry Coughlan
  • , Paul Buitelaar
  • , Thierry Declerk
  • , Uli Krieger
  • , Susan Marie-Thomas

    Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

    3 Citations (Scopus)

    Abstract

    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 multilingual data, perform comparisons, and review generated financial metrics.

    Original languageEnglish
    Title of host publicationThe Semantic Web - ESWC 2013 Satellite Events, Revised Selected Papers
    Pages242-247
    Number of pages6
    DOIs
    Publication statusPublished - 2013
    EventESWC 2013 Satellite Events: The Semantic Web - Montpellier, France
    Duration: 26 May 201330 May 2013

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7955 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceESWC 2013 Satellite Events: The Semantic Web
    Country/TerritoryFrance
    CityMontpellier
    Period26/05/1330/05/13

    Keywords

    • Financial analytics
    • Multilingual
    • Ontology alignment
    • XBRL

    Fingerprint

    Dive into the research topics of 'Cross-lingual querying and comparison of linked financial and business data'. Together they form a unique fingerprint.

    Cite this