Associations between Texts and Ontology

  • Anna Wróblewska
  • Grzegorz Protaziuk
  • Robert Bembenik
  • Teresa Podsiadły-Marczykowska
Part of the Studies in Computational Intelligence book series (SCI, volume 467)


Intelligent automatic text processing methods require linking between texts (written in natural languages) and concepts representing semantics of particular words and phrases. Concepts are supposed to be independent from languages and can be expressed as ontologies. The mapping of concepts to a specific language may be expressed as a linguistic layer of a given ontology. The paper presents a model of lexical layer that establishes relations between terms (words or phrases) and entities of a given ontology. Moreover, the layer contains representations not only of terms but also their contexts of usage. It also provides associations with commonly used lexical knowledge resources, such as WordNet, Wikipedia and DBPedia.


Ontology lexical layer ontology localization text mining discriminators 


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  1. 1.
    Wróblewska, A., Protaziuk, G., Bembenik, R., Podsiadły-Marczykowska, T.: LEXO: a Lexical Layer for Ontologies - Design and Building Scenarios. Studia Informatica 33(2B(106)), 173–186 (2012)Google Scholar
  2. 2.
    English WordNet statistics,
  3. 3.
    Maziarz, M., Piasecki, M., Szpakowicz, S.: Approaching plWordNet 2.0. In: Proceedings of the 6th Global Wordnet Conference, Matsue, Japan (January 2012)Google Scholar
  4. 4.
  5. 5.
    Montiel-Ponsoda, E., Aguado-de-Cea, G., McCrae, J.: Representing Term Variation in lemon. In: 9th International Conference on Terminology and Artificial Intelligence, pp. 47–50 (2011)Google Scholar
  6. 6.
    Fernández-Silva, S., Freixa, J., Cabré, M.T.: A proposed method for analysing the dynamics of cognition through term variation. Terminology 17(1), 49–73 (2001)CrossRefGoogle Scholar
  7. 7.
    Buitelaar, P., Cimiano, P., Haase, P., Sintek, M.: Towards Linguistically Grounded Ontologies. 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. 111–125. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  8. 8.
    Francopoulo, G., George, M., Calzolari, N., Monachini, M., et al.: Lexical markup framework (LMF). In: Proceedings of the Fifth International Conferenceon Language Resource and Evaluation, LREC 2006 (2006)Google Scholar
  9. 9.
    Montiel-Ponsoda, E., Aguado de Cea, G., Gomez-Perez, A., et al.: Modelling multilinguality in ontologies. In: Proceedings of the 21st International Conference on Computational Linguistics (COLING). Linguistic Information Repository (2008),
  10. 10.
    Cimiano, P., Buitelaar, P., McCrae, J., Sintek, M.: LexInfo: A Declarative Model for the Lexicon-Ontology Interface. Web Semantics: Science, Services and Agents on the World Wide Web 9(1), 29–51 (2011)CrossRefGoogle Scholar
  11. 11.
    State of the Art on Ontology and Vocabulary Building & Maintenance Research And Applications Solutions for System and Domain Ontologies, Technical Report B12 in SYNAT project, Institute of Computer Science, WUT (March 2011)Google Scholar
  12. 12.
  13. 13.
    McCrae, J., Aguado-de-Cea, G., Buitelaar, P., Cimiano, P., Declerck, T., Gómez Pérez, A., Gracia, J., Hollink, L., Montiel-Ponsoda, E., Spohr, D., Wunner, T.: The Lemon Cookbook,
  14. 14.
    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
  15. 15.
  16. 16.
    Firth, J.R.: A synopsis of linguistic theory 1930-1955. In: Studies in Linguistic Analysis, pp. 1–32. Philological Society, Oxford (1957)Google Scholar
  17. 17.
    Rybiński, H., Kryszkiewicz, M., Protaziuk, G., Kontkiewicz, A., Marcinkowska, K., Delteil, A.: Discovering Word Meanings Based on Frequent Termsets. In: Raś, Z.W., Tsumoto, S., Zighed, D.A. (eds.) MCD 2007. LNCS (LNAI), vol. 4944, pp. 82–92. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  18. 18.
    Lexical layer for the system ontology. Technical Report B12 in SYNAT project, Institute of Computer Science, WUT (March 2012)Google Scholar
  19. 19.

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Anna Wróblewska
    • 1
  • Grzegorz Protaziuk
    • 1
  • Robert Bembenik
    • 1
  • Teresa Podsiadły-Marczykowska
    • 2
  1. 1.Institute of Computer ScienceWarsaw University of TechnologyWarszawaPoland
  2. 2.Institute of Biocybernetics and BioengineeringWarszawaPoland

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