Adolfo Guzman-Arenas, Alma-Delia Cuevas-Rasgado


Knowledge scattered through the Web inside unstructured documents (text documents) can not be easily interpreted by computers. To do so, knowledge contained from them must be extracted by a parser or a person and poured into a suitable data structure, the best form to do this, are with ontologies. For an appropriate merging of these “individual” ontologies, we consider repetitions, redundancies, synonyms, meronyms, different level of details, different viewpoints of the concepts involved, and contradictions, a large and useful ontology could be constructed. This paper presents OM algorithm, an automatic ontology merger that achieves the fusion of two ontologies without human intervention. Through repeated application of OM, we can get a growing ontology of a knowledge topic given. Using OM we hope to achieve automatic knowledge acquisition. There are two missing tasks: the conversion of a given text to its corresponding ontology (by a combination of syntactic and semantic analysis) is not yet automatically done; and the exploitation of the large resulting ontology is still under development.


  1. Botello, A. 2007. Query resolution in heterogeneous data bases by partial integration. Ph. D. Thesis in progress, Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN), Mexico. In Spanish.
  2. Cuevas, A. 2006 Merging of ontologies using semantic properties. Ph. D. thesis. CIC-IPN. In Spanish. sp?idobject=34274&idrepositorio=2&type=recipiente
  3. Cuevas, A. and Guzman, A. 2007. A language and algorithm for automatic merging of ontologies. Chapter of the book Handbook of Ontologies for Business Interaction, Peter Rittgen, ed. Idea Group Inc. Pp. 381-404.
  4. Dou D., McDermott, D., and Qi. P. 2002. Ontology Translation by Ontology Merging and Automated Reasoning. Proc. EKAW Workshop on Ontologies for Multi-Agent Systems, Spain. Pp. 3-18.
  5. Gómez P. A., and Suárez F. M. 2004. Evaluation of RDF(S) and DAML+OIL Import/Export Services within Ontology Platforms. MICAI 2004. Pp. 109- 118.
  6. Kalfoglou, Y., and Schorlemmer, M. Information-Flowbased Ontology Mapping. 2002. Proceedings of the International Conference on Ontologies, Databases and Application of Semantics for Large Scale Information Systems, volume 2519 of Lecture Notes in Computer Science. Pp. 1132-1151.
  7. Kotis K., Vouros G. and Stergiou, K. 2006. Towards Automatic of Domain Ontologies: The HCONE-merge approach. Journal of Web Semantics (JWS), Elsevier, vol. 4:1, Pp. 60-79.
  8. Lenat, D., and Guha, V. Building Large Knowledge-Based Systems. (Addison-Wesley 1989).
  9. Levachkine, S., and Guzman, A. 2004 Hierarchy Measuring Qualitative Variables. Lecture Notes in Computer Science LNCS 2945. Computational Linguistics and Intelligent Text Processing, SpringerVerlag. Pp. 262-274. ISSN 0372-9743.
  10. Makagonov, P. 2007. Automatic formation of ontologies by analysis of titles of conferences, sessions and articles.Work in preparation.
  11. McGuinness, D., Fikes, R., Rice, J., and Wilder, S. 2000. The Chimaera Ontology Environment. Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence. ISBN: 0-262- 51112-6. Pp. 1123-1124.
  12. Noy, N., and Musen, M. 2000. PROMPT: Algoritm and Tool for Automated Ontology Merging and Alignment. In Proc. Of the National Conference on Artificial Intelligence. Pp. 450-455, Austin, TX, USA.
  13. Olivares, J. 2002. An Interaction Model among Purposeful Agents, Mixed Ontologies and Unexpected Events. Ph. D. Thesis, CIC-IPN. México.
  14. Stumme, G., and Maedche, A. 2002. Ontology Merging for Federated ontologies on the semantic web. In: E. Franconi, K. Barker, D. Calvanese (Eds.): Proc. Intl. Workshop on Foundations of Models for Information Integration, Viterbo, Italy. LNAI, Springer 2002.
  15. 1. Accessed 5 march 2008. AKT:
  16. 2. Accessed 5 march 2008.
  17. 3. Accessed 5 march 2008.
  19. 4. Accessed 5 march 2008.
  21. 5. Accessed 5 march 2008.
  22. 6. Accessed 5 march 2008.
  23. 7. Accessed 5 march 2008.
  24. _accesorios_para_acuarios_i.html
  25. 8. Accessed 5 march 2008.
  26. 9. Accessed 5 march 2008.
  27. www.
  28. 10. Accessed 5 march 2008.
  29. 11. Accessed 5 march 2008.
  30. marquez_22.html
  31. 12. Accessed 5 march 2008.
  32. 13. Accessed 5 march 2008.
  33. 14. Accessed 5 march 2008.
  34. WWW page
  35. 15. Accessed 6 march 2008.
  36. WWW page
  37. 16. Accessed 6 march 2008.
  38. WWW page.

Paper Citation

in Harvard Style

Guzman-Arenas A. and Cuevas-Rasgado A. (2008). KNOWLEDGE ACQUISITION WITH OM - A Heuristic Solution . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 356-363. DOI: 10.5220/0001717703560363

in Bibtex Style

author={Adolfo Guzman-Arenas and Alma-Delia Cuevas-Rasgado},
title={KNOWLEDGE ACQUISITION WITH OM - A Heuristic Solution},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},

in EndNote Style

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
SN - 978-989-8111-37-1
AU - Guzman-Arenas A.
AU - Cuevas-Rasgado A.
PY - 2008
SP - 356
EP - 363
DO - 10.5220/0001717703560363