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

  • Rim Touhami
  • Patrice Buche
  • Juliette Dibie-Barthélemy
  • Liliana Ibănescu
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Semantic integration semantic data model ontology engineering 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Gruber, T.: Ontology. In: Liu, L., Özsu, M.T. (eds.) Encyclopedia of Database Systems, pp. 1963–1965. Springer, US (2009)Google Scholar
  2. 2.
    Cimiano, P., Buitelaar, P., McCrae, J., Sintek, M.: Lexinfo: A declarative model for the lexicon-ontology interface. J. Web Sem. 9(1), 29–51 (2011)CrossRefGoogle Scholar
  3. 3.
    McCrae, J., Spohr, D., Cimiano, P.: Linking Lexical Resources and Ontologies on the Semantic Web with Lemon. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 245–259. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  4. 4.
    Declerck, T., Lendvai, P.: Towards a standardized linguistic annotation of the textual content of labels in knowledge representation systems. In: LREC, European Language Resources Association (2010)Google Scholar
  5. 5.
    Reymonet, A., Thomas, J., Aussenac-Gilles, N.: Modelling ontological and terminological resources in OWL DL. In: OntoLex 2007, ISWC Workshop (2007)Google Scholar
  6. 6.
    Roche, C., Calberg-Challot, M., Damas, L., Rouard, P.: Ontoterminology - a new paradigm for terminology. In: Dietz, J.L.G. (ed.) KEOD, pp. 321–326. INSTICC Press (2009)Google Scholar
  7. 7.
    Reymonet, A., Thomas, J., Aussenac-Gilles, N.: Ontology based information retrieval: an application to automotive diagnosis. In: International Workshop on Principles of Diagnosis (DX 2009), pp. 9–14 (2009)Google Scholar
  8. 8.
    Hignette, G., Buche, P., Dibie-Barthélemy, J., Haemmerlé, O.: An Ontology-Driven Annotation of Data Tables. In: Weske, M., Hacid, M.-S., Godart, C. (eds.) WISE Workshops 2007. LNCS, vol. 4832, pp. 29–40. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  9. 9.
    Hignette, G., Buche, P., Dibie-Barthélemy, J., Haemmerlé, O.: Fuzzy Annotation of Web Data Tables Driven by a Domain Ontology. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 638–653. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  10. 10.
    Lynn, S., Embley, D.W.: Semantically Conceptualizing and Annotating Tables. In: Domingue, J., Anutariya, C. (eds.) ASWC 2008. LNCS, vol. 5367, pp. 345–359. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  11. 11.
    van Assem, M., Rijgersberg, H., Wigham, M., Top, J.: Converting and Annotating Quantitative Data Tables. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part I. LNCS, vol. 6496, pp. 16–31. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  12. 12.
    Buche, P., Haemmerlé, O.: Towards a Unified Querying System of Both Structured and Semi-Structured Imprecise Data Using Fuzzy View. In: Ganter, B., Mineau, G.W. (eds.) ICCS 2000. LNCS, vol. 1867, pp. 207–220. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  13. 13.
    Buche, P., Dibie-Barthélemy, J., Chebil, H.: Flexible Sparql Querying of Web Data Tables Driven by an Ontology. In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L. (eds.) FQAS 2009. LNCS, vol. 5822, pp. 345–357. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  14. 14.
    Noy, N., Rector, A., Hayes, P., Welty, C.: Defining n-ary relations on the semantic web. W3C working group note, http://www.w3.org/TR/swbp-n-aryRelations
  15. 15.
    van Rijsbergen, C.J.: Information Retrieval. Butterworth (1979)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rim Touhami
    • 1
    • 3
  • Patrice Buche
    • 1
    • 2
  • Juliette Dibie-Barthélemy
    • 3
  • Liliana Ibănescu
    • 3
  1. 1.INRA - UMR IATEMontpellierFrance
  2. 2.LIRMMMontpellierFrance
  3. 3.INRA - Mét@risk & AgroParisTechParisFrance

Personalised recommendations