Case Acquisition from Text: Ontology-Based Information Extraction with SCOOBIE for myCBR

  • Thomas Roth-Berghofer
  • Benjamin Adrian
  • Andreas Dengel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6176)


myCBR is a freely available tool for rapid prototyping of similarity-based retrieval applications such as case-based product recommender systems. It provides easy-to-use model generation, data import, similarity modelling, explanation, and testing functionality together with comfortable graphical user interfaces. SCOOBIE is an ontology-based information extraction system, which uses symbolic background knowledge for extracting information from text. Extraction results depend on existing knowledge fragments. In this paper we show how to use SCOOBIE for generating cases from texts. More concrete we use ontologies of the Web of Data, published as so called Linked Data interlinked with myCBR’s case model. We present a way of formalising a case model as Linked Data ready ontology and connect it with other ontologies of the Web of Data in order to get richer cases.


Textual Case-Based Reasoning Ontology-based Information Extraction Linked Open Data Web of Data 


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  1. 1.
    Aamodt, A.: Explanation-driven case-based reasoning. In: Wess, S., Richter, M., Althoff, K.-D. (eds.) EWCBR 1993. LNCS, vol. 837, Springer, Heidelberg (1994)Google Scholar
  2. 2.
    Adrian, B., Dengel, A.: Believing finite-state cascades in knowledge-based information extraction. In: Dengel, A.R., Berns, K., Breuel, T.M., Bomarius, F., Roth-Berghofer, T.R. (eds.) KI 2008. LNCS (LNAI), vol. 5243, pp. 152–159. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  3. 3.
    Adrian, B., Hees, J., van Elst, L., Dengel, A.: iDocument: Using ontologies for extracting and annotating information from unstructured text. In: Mertsching, B., Hund, M., Aziz, Z. (eds.) KI 2009. LNCS (LNAI), vol. 5803, pp. 249–256. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  4. 4.
    Adrian, B., Neumann, G., Troussov, A., Popov, B. (eds.): Ontology-based Information Extraction Systems, OBIES 2008 (2008),
  5. 5.
    Appelt, D., Israel, D.: Introduction to information extraction technology: A tutorial prepared for ijcai-99. SRI International (1999)Google Scholar
  6. 6.
    Bello-Tomás, J., González-Calero, P.A., Díaz-Agudo, B.: JColibri: An Object-Oriented Framework for Building CBR Systems. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 32–46. Springer, Heidelberg (2004)Google Scholar
  7. 7.
    Bergmann, R., Schaaf, M.: Structural Case-Based Reasoning and Ontology-Based Knowledge Management: A Perfect Match? Journal of Universal Computer Science 9(7), 608–626 (2003), (Last access: 2010-02-26)Google Scholar
  8. 8.
    Berners-Lee, T., Fielding, R.T., Masinter, L.: Rfc 3986: Uniform resource identifier (uri): Generic syntax (2005), (Last access: 2010-02-26)
  9. 9.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. International Journal on Semantic Web and Information Systems 5(3), 1–22 (2009), (Last access: 2010-02-26)
  10. 10.
    Bontcheva, K., Tablan, V., Maynard, D., Cunningham, H.: Evolving GATE to meet new challenges in language engineering. Natural Language Engineering 10(3-4), 349–373 (2004), (Last access: 2010-02-26)
  11. 11.
    Bridge, D., Göker, M.H., McGinty, L., Smyth, B.: Case-based recommender systems. Knowledge Engineering Review 20(3) (2006)Google Scholar
  12. 12.
    Buitelaar, P., Cimiano, P., Racioppa, S., Siegel, M.: Ontology-based Information Extraction with SOBA. In: Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC), pp. 2321–2324. ELRA (2006), (Last access: 2010-02-26)
  13. 13.
    David, R.W., Aha, D.W., Sandhu, N., Munoz-Avila, H.: A textual case-based reasoning framework for knowledge management applications. In: Schnurr, H.P., Staab, S., Studer, R., Stumme, G., Sure, Y. (eds.) Proceedings of the Ninth German Workshop on Case-Based Reasoning, pp. 244–253. Shaker Verlag, Aachen (2001)Google Scholar
  14. 14.
    empolis: Information Access Suite — e:IAS Text Mining Engine. Technical white paper (2008), empolis IAS 6.2 (Publication Date: 8 December 2008) Build: 5976Google Scholar
  15. 15.
    Gennari, J.H., Musen, M.A., Fergerson, R.W., Grosso, W.E., Crubézy, M., Eriksson, H., Noy, N.F., Tu, S.W.: The evolution of Protégé an environment for knowledge-based systems development. Int. J. Hum.-Comput. Stud. 58(1), 89–123 (2003)CrossRefGoogle Scholar
  16. 16.
    Gruber, T.R.: Toward principles of the design of ontologies used for knowledge sharing. International Journal of Human and Computer Studies 43, 907–928 (1995)CrossRefGoogle Scholar
  17. 17.
    Lenz, M.: Defining knowledge layers for textual case-based reasoning. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS (LNAI), vol. 1488, pp. 298–309. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  18. 18.
    Lenz, M.: Knowledge sources for textual CBR applications. In: Lenz, M., Ashley, K. (eds.) Textual Case-Based Reasoning: Papers from the AAAI 1998 Workshop, pp. 24–29. AAAI Press, Menlo Park (1998); Technical Report WS-98-12Google Scholar
  19. 19.
    Recio-García, J.A., Díaz-Agudo, B., Gómez-Martín, M.A., Wiratunga, N.: Extending jcolibri for textual CBR. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 421–435. Springer, Heidelberg (2005), CrossRefGoogle Scholar
  20. 20.
    Sintek, M., Junker, M., Elst, L.V., Abecker, A.: Using information extraction rules for extending domain ontologies. In: Maedche, A., Staab, S., Nedellec, C., Hovy, E. (eds.) Position Statement for the IJCAI 2001 Workshop on Ontology Learning (2001),
  21. 21.
    Stahl, A.: Learning of Knowledge-Intensive Similarity Measures in Case-Based Reasoning. Ph.D. thesis, University of Kaiserslautern (2003)Google Scholar
  22. 22.
    Stahl, A., Roth-Berghofer, T.R.: Rapid prototyping of CBR applications with the open source tool myCBR. In: Althoff, K.-D., Bergmann, R., Minor, M., Hanft, A. (eds.) ECCBR 2008. LNCS (LNAI), vol. 5239, pp. 615–629. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  23. 23.
    W3C: Rdf primer (February 2004), (Last access: 2010-02-26)
  24. 24.
    Weber, R.O., Ashley, K.D., Brüninghaus, S.: Textual case-based reasoning. Knowledge Engineering Review 20(3), 255–260 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Thomas Roth-Berghofer
    • 1
    • 2
  • Benjamin Adrian
    • 1
    • 2
  • Andreas Dengel
    • 1
    • 2
  1. 1.Knowledge Management DepartmentGerman Research Center for Artificial Intelligence (DFKI) GmbHKaiserslauternGermany
  2. 2.Knowledge-Based Systems Group, Department of Computer ScienceUniversity of KaiserslauternKaiserslautern

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