Transforming Existing Knowledge Models to Information Extraction Ontologies

  • Marek Nekvasil
  • Vojtěch Svátek
  • Martin Labský
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 7)


Various knowledge models are widely adopted nowadays and many areas are taking advantage of their existence. On one hand there are generic models, domain ontologies that are used in fields like AI and computer knowledge-aware systems in general; on the other hand there are very specific models that only come in use in very specific areas like software engineering or business analysis. In the domain of information extraction, so-called extraction ontologies are used to extract and semantically annotate data. The aim of this paper is to propose a method of authoring extraction ontologies by reusing other pre-existing knowledge models. Our priority is maintaining the consistence between the extracted data and the existing models.


information extraction ontology UML business models 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Astrova, I., Korda, N., Kalja, A.: Storing OWL ontologies in SQL relational databases. In: Proceedings of World Academy of Science, Engineering and Technology (WASET), pp. 167–172 (2007)Google Scholar
  2. 2.
    Embley, D.W., Tao, C., Liddle, S.W.: Automatically extracting ontologically specified data from HTML tables of unknown structure. In: Spaccapietra, S., March, S.T., Kambayashi, Y. (eds.) ER 2002. LNCS, vol. 2503, pp. 322–337. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  3. 3.
    Falkovych, K., Sabou, M., Stuckenschmidt, H.: UML for the Semantic Web: Transformation-Based Approaches. In: Knowledge Transformation for the Semantic Web, pp. 92–106. IOS Press, Amsterdam (2003)Google Scholar
  4. 4.
    Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)CrossRefGoogle Scholar
  5. 5.
    Guizzardi, G.: Ontological Foundations for Structural Conceptual Models, Telematica Instituut Fundamental Research Series No. 15 (2005), ISBN 90-75176-81-3Google Scholar
  6. 6.
    van Heijst, G., Schreiber, G., Wielinga, B.: Using Explicit Ontologies in KBS development. Int. J. Human-Computer Studies 46, 183–292 (1997)CrossRefGoogle Scholar
  7. 7.
    Labský, M., Svátek, V., Nekvasil, M., Rak, D.: Information extraction using extraction ontologies. In: Proc. PriCKL 2007, ECML/PKDD Workshop on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery, Warsaw, Poland (2007)Google Scholar
  8. 8.
    Labský, M., Nekvasil, M., Svátek, V.: Towards Web Information Extraction using Extraction Ontologies and (Indirectly) Domain Ontologies. Whistler 18.10.2007 – 21.10.2007. In: K-CAP 2007, pp. s201–s202. ACM, New York (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Marek Nekvasil
    • 1
  • Vojtěch Svátek
    • 1
  • Martin Labský
    • 1
  1. 1.Department of Information and Knowledge EngineeringUniversity of Economics, PraguePrague 3Czech Republic

Personalised recommendations