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An Ontological and Terminological Resource for n-ary Relation Annotation in Web Data Tables

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2011 (OTM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7045))

Abstract

We propose, in this paper, a model for an Ontological and Terminological Resource (OTR) dedicated to the task of n-ary relations annotation in Web data tables. This task relies on the identification of the symbolic concepts and the quantities, defined in the OTR, which are represented in the tables’ columns. We propose to guide the annotation by an OTR because it allows a separation between the terminological and conceptual components and allows dealing with abbreviations and synonyms which could denote the same concept in a multilingual context. The OTR is composed of a generic part to represent the structure of the ontology dedicated to the task of n-ary relations annotation in data tables for any application and of a specific part to represent a particular domain of interest. We present the model of our OTR and its use in an existing method for semantic annotation and querying of Web tables.

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Author information

Authors and Affiliations

  1. INRA - UMR IATE, 2, place Pierre Viala Cedex 2, F-34060, Montpellier, France

    Rim Touhami & Patrice Buche

  2. LIRMM, Montpellier, France

    Patrice Buche

  3. INRA - Mét@risk & AgroParisTech, 16 rue Claude Bernard Cedex 5, F-75231, Paris, France

    Rim Touhami, Juliette Dibie-Barthélemy & Liliana Ibănescu

Authors
  1. Rim Touhami
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  2. Patrice Buche
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  3. Juliette Dibie-Barthélemy
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  4. Liliana Ibănescu
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Editor information

Editors and Affiliations

  1. STAR Lab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussel, Belgium

    Robert Meersman

  2. DEBII, Curtin University of Technology, Technology Park, De Laeter Way, 6102, Bentley, WA, Australia

    Tharam Dillon

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

  4. Smeal College of Business, Pennsylvania State University, University Park, 16802, P.O. Box, PA, U.S.A.

    Akhil Kumar

  5. Institute of Databases and Information Systems, Ulm University, Germany

    Manfred Reichert

  6. City University of Hong Kong, Hong Kong

    Li Qing

  7. National University of Singapore (NUS), Singapore

    Beng-Chin Ooi

  8. Dipartemento Tecnologie dell’Informazione, Universitá degli Studi di Milano, Via Bramante 65, 26013, Crema, Italy

    Ernesto Damiani

  9. Vanderbilt University, VU, Station B #1829, 2015 Terrace Place, 37203, Nashville, TN, USA

    Douglas C. Schmidt

  10. Virginia Tech, 24060, Blacksburg, VA

    Jules White

  11. Digital Enterprise Research Institute (DERI),, National University of Ireland, IDA Business Park, Lower Dangan, Galway, Ireland

    Manfred Hauswirth

  12. Kno.e.sis Center, Wright State University, Dayton,, Ohio

    Pascal Hitzler

  13. IBM India Research Lab, 4, Block C, Institutional Area, 110 070, Vasant Kunj, New Delhi, India

    Mukesh Mohania

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© 2011 Springer-Verlag Berlin Heidelberg

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Touhami, R., Buche, P., Dibie-Barthélemy, J., Ibănescu, L. (2011). An Ontological and Terminological Resource for n-ary Relation Annotation in Web Data Tables. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2011. OTM 2011. Lecture Notes in Computer Science, vol 7045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25106-1_19

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  • DOI: https://doi.org/10.1007/978-3-642-25106-1_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25105-4

  • Online ISBN: 978-3-642-25106-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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