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Reseach Article

A Survey of Ontology Learning Approaches

by Maryam Hazman, Samhaa R. El-Beltagy, Ahmed Rafea
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 9
Year of Publication: 2011
Authors: Maryam Hazman, Samhaa R. El-Beltagy, Ahmed Rafea
10.5120/2610-3642

Maryam Hazman, Samhaa R. El-Beltagy, Ahmed Rafea . A Survey of Ontology Learning Approaches. International Journal of Computer Applications. 22, 9 ( May 2011), 36-43. DOI=10.5120/2610-3642

@article{ 10.5120/2610-3642,
author = { Maryam Hazman, Samhaa R. El-Beltagy, Ahmed Rafea },
title = { A Survey of Ontology Learning Approaches },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 9 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 36-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number9/2610-3642/ },
doi = { 10.5120/2610-3642 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:58.086666+05:30
%A Maryam Hazman
%A Samhaa R. El-Beltagy
%A Ahmed Rafea
%T A Survey of Ontology Learning Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 9
%P 36-43
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The problem that ontology learning deals with is the knowledge acquisition bottleneck, that is to say the difficulty to actually model the knowledge relevant to the domain of interest. Ontologies are the vehicle by which we can model and share the knowledge among various applications in a specific domain. So many research developed several ontology learning approaches and systems. In this paper, we present a survey for the different approaches in ontology learning from semi-structured and unstructured date

References
  1. Karoui, L., Aufaure, M., and Bennacer, N. 2004. Ontology Discovery from Web Pages: Application to Tourism. In ECML/PKDD 2004: Knowledge Discovery and Ontologies KDO-2004.
  2. Maedche, A. and Staab, S. 2001. Ontology Learning for the Semantic Web. In IEEE Intelligent Systems, Special Issue on the Semantic Web, 16(2).
  3. Fellbaum, C. 1999. Ed.: “WordNet: An Electronic Lexical Database”, MIT Press.
  4. Soergel, D. Lauser, D., Liang, A., Fisseha, F., Keizer, J., and Katz, S. 2004. Reengineering Thesauri for New Applications: the AGROVOC Example. In Journal of Digital Information, 4, 4 (Mar. 2004).
  5. Shamsfard, M. and Barforoush, A. A. 2003. The state of the art in ontology learning: A framework for comparison. The Knowledge Engineering Review, Vol. 18 No.4 pp. 293-316.
  6. Gomez-Perez, A., Manzano-Macho, D. 2003. OntoWeb Deliverable 1.5: A Survey of Ontology Learning Methods and Techniques. Universidad Politecnica de Madrid.
  7. Sabou, M., Wroe, C., Goble, C., and Mishne, G. 2005. Learning Domain Ontologies for Web Service Descriptions: an Experiment in Bioinformatics. In Proceedings of the 14th International World Wide Web Conference (WWW2005), Chiba, Japan.
  8. Noy, N. F., Sintek, M., Decker, S., Crubezy, M., Fergerson, R.W., and Musen, M.A. 2001. Creating Semantic Web Contents with Protege-2000. In IEEE Intelligent Systems, Vol. 16, No. 2, pp. 60-71.
  9. Sure, Y., Erdmann, M., Angele, J., Staab, S., Studer, R., and Wenke, D. 2002. OntoEdit: Collaborative ontology development for the semantic web. In International Semantic Web Conference 2002 (ISWC 2002), Sardinia, Ital.
  10. Sanchez, D., and Moreno, A. 2004. Creating ontologies from Web documents. In Recent Advances in Artificial Intelligence Research and Development. IOS Press, Vol. 113, pp.11-18.
  11. Cimiano, P., Hotho, A., Staab, S. 2005. Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis. JAIR - Journal of AI Research, Vol. 24, pp. 305-339.
  12. Schmid, H. 1994. Probabilistic part-of-speech tagging using decision trees. In Proceedings of the International Conference on New Methods in Language Processing.
  13. Schmid, H. 2000. Lopar: Design and implementation. In Arbeitspapiere des Sonder for schungsbereiches, No. 149.
  14. Cimiano P., and Vaolker, J. 2005. Text2Onto - A Framework for Ontology Learning and Data-driven Change Discovery. In: Montoyo, A., Munoz, R., Metais, E. Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB), Lecture Notes in Computer Science. Alicante, Spain: Springer.
  15. Ganter, B. and Wille, R. 1999. Formal Concept Analysis - Mathematical Foundations. Berlin:Springer-Verlag.
  16. Frantzi, K., Ananiadou, S., and Tsuji, J. 1998. The c-value/nc-value method of automatic recognition for multi-word terms. In Proceedings of the ECDL .pp 585-604.
  17. Bennacer, N., and Karoui L. 2005. A framework for retrieving conceptual knowledge from Web pages. In Semantic Web Applications and Perspectives, Proceedings of the 2nd Italian Semantic Web Workshop, University of Trento, Trento, Italy.
  18. Davulcu, H., Vadrevu, S., and Nagarajan, S. 2004. OntoMiner: Bootstrapping Ontologies From Overlapping Domain Specific Web Sites. In: Poster presentation at the 13th International World Wide Web Conference May 17-22 2004, New York, NY.
  19. Hazman, M., El-Beltagy, S. R., and Rafea, A. 2009. Ontology Learning from Domain Specific Web Documents. In International Journal of Metadata, Semantics and Ontologies, Vol. 4, No. 1-2, pp: 24 – 33.
  20. Touati, M., and Chavent, M. 2001. DIV: A divisive and symbolic clustering method, SFC2001, IXemes journees de la societe Francophone de Classification.
  21. Davulcu, H., Vadrevu, S., Nagarajan, S., and Ramakrishnan, I. 2003. OntoMiner: Bootstrapping and Populating Ontologies from Domain Specific Web Sites. In IEEE Intelligent Systems, Vol. 18, No. 5, pp. 24-33.
  22. Brank, J., Grobelnik, M., and Mladenic, D. 2005. A survey of ontology evaluation techniques. In Proceedings of the 8th Int. multi-conference Information Society IS-2005.
  23. Sure, Y., Daelemans, W., Perez, G.A., Guarino, N., Noy, N., and Reinberger, M. 2004. Why evaluate ontology technologies? Because they work!. In IEEE Intelligent Systems. Vol. 19, No. 4, pp. 74-81.
  24. Sabou, M., Lopez, V., Motta, E. and Uren, V. 2006. Ontology Selection: Ontology Evaluation on the Real Semantic Web, In: Proceedings of the 4th internacional EON workshop (EON'06) Maio.
  25. Dellschaft, K. and Steffen, S. 2006. On How to Perform a Gold Standard Based Evaluation of Ontology Learning. In: I. Cruz et al. The Semantic Web - ISWC 2006, Lecture Notes in Computer Science Vol. 4273/2006, pp228-241, Heidelberg, Germany: Springer Berlin
Index Terms

Computer Science
Information Sciences

Keywords

Ontology learning Ontology learning evaluation knowledge discovery