A Method of Rapid Prototyping of Evolving Ontologies 

  • Pavel Makagonov
  • Alejandro Ruiz Figueroa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3406)


A text corpus analysis method is proposed for analyzing a branch of knowledge evolving in time. We apply this method to the case of parallel computing, which has shown a great progress during the last 15 years. For this, we construct a rapid prototype of ontology (RPO) of this domain, based on a large collection of different types of documents. We demonstrate the possibility of embodying the RPO idea and its usefulness for revealing prospects for research in different areas of parallel computing.


Parallel Computing Rapid Prototype Short Text Evolve Ontology Real Synthesis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Gómez, M.M.y., López, A.L., Gelbukh, A.: Text mining as a social thermometer. In: Text Mining workshop at 16th International Joint Conference on Artificial Intelligence (IJCAI 1999), Stockholm, pp. 103–107 (1999)Google Scholar
  2. 2.
    Gelbukh, A., Sidorov, G., Guzman-Arenas, A.: Use of a weighted topic hierarchy for text retrieval and classification. In: Matoušek, V., Mautner, P., Ocelíková, J., Sojka, P. (eds.) TSD 1999. LNCS (LNAI), vol. 1692, pp. 133–135. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  3. 3.
  4. 4.
    Makagonov, P., Alexandrov, P.M., Sboychakov, K.: A toolkit for development of the domain-oriented dictionaries for structuring document flows. In: Kiers, H.A., et al. (eds.) Data Analysis, Classification, and Related Methods. Studies in classification, data analysis, and knowledge organization, pp. 83–88. Springer, Heidelberg (2000)Google Scholar
  5. 5.
    Makagonov, P., Ruiz Figueroa, A.: Study of Knowledge Evolution in Parallel Computing by Short Texts Analysis. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds.) CIARP 2004. LNCS, vol. 3287, pp. 439–445. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  6. 6.
    Gelbukh, A., Alexandrov, M., Han, S.Y.: Detecting Inflection Patterns in Natural Language by Minimization of Morphological Model. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds.) CIARP 2004. LNCS, vol. 3287, pp. 432–438. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  7. 7.
    Lozano Tello, A.: Métrica de Idoneidad de Ontologías. PhD thesis, Dep. Informática, Escuela politécnica de Cáceres. Univ. de Extremadura, Spain (February 2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Pavel Makagonov
    • 1
  • Alejandro Ruiz Figueroa
    • 1
  1. 1.Mixteca University of TechnologyOaxacaMéxico

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