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Reseach Article

A Study Investigating Knowledge-based Engineering Methodologies Analysis

by Thabet Slimani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 10
Year of Publication: 2015
Authors: Thabet Slimani
10.5120/ijca2015906645

Thabet Slimani . A Study Investigating Knowledge-based Engineering Methodologies Analysis. International Journal of Computer Applications. 128, 10 ( October 2015), 6-14. DOI=10.5120/ijca2015906645

@article{ 10.5120/ijca2015906645,
author = { Thabet Slimani },
title = { A Study Investigating Knowledge-based Engineering Methodologies Analysis },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 10 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number10/22907-2015906645/ },
doi = { 10.5120/ijca2015906645 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:21:15.329052+05:30
%A Thabet Slimani
%T A Study Investigating Knowledge-based Engineering Methodologies Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 10
%P 6-14
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is now commonly accepted that building ontology is a key step in the development of knowledge based systems. A quite number of methodologies for ontology development have been proposed in the literature. However, this field still lacks mature methodologies which provide a clear vision for how to build ontologies. Most methodologies provide insufficient details about their adopted techniques and activities. This paper gives a preliminary guide which analysis and discusses some selected methodologies for ontology building. The important criteria and guidelines resulting from current literature have been adapted to perform this discussion and analysis. The performed analysis showed as outcomes that the existing methodology needs and additional hard work to be mature.

References
  1. Gruber T. R. "A translation approach to portable ontologies", Knowledge Acquisition, vol. 5, no. 2, pp. 199-220, 1993.
  2. Sowa J. F.. Ontologies for Knowledge Sharing. In Manuscript of the invited talk at Terminology and Knowledge Engineering Congress (TKE ’96), Vienna, 1996.
  3. Borst P. and Akkermans H. An Ontology Approach to Product Disassembly, Knowledge Acquisition, Modeling and Management, pp. 33-48, 1997.
  4. Studer R., Benjamins V.R. and Fensel D.: Knowledge engineering: principles and methods. IEEE Trans. Knowl. Data Eng. 25(1–2), 161–197, 1998.
  5. Grimm, S., Abecker, A., Völker, J., & Studer, R. Ontologies and the Semantic Web. In J. Domingue, D. Fensel, & J. A. Hendler (Eds.), Handbook of Semantic Web Technologies (pp. 507–570). Berlin: Springer, 2011.
  6. Kargl, H., Strommer, M., Wimmer, M. Measuring the Explicitness of Modeling Concepts in Metamodels. In ACM/IEEE 9th International Conference on Model Driven Engineering Languages and systems (MoDELS/UML 2006), Workshop on model Size Metrics, Genova, Italy, October 2006.
  7. Guarino, N.. Formal ontology and information systems, preface. In: Guarino, N. (ed.) Proceedings of the First International Conference on Formal Ontologies in Information Systems (FOIS 1998), Trento, pp. 3–15. IOS Press, Amsterdam, 1998.
  8. Van Heijst, G., Schreiber, A.T., Wielinga, B.J.. Using explicit Ontologies in KBS development. International Journal of Human-Computer Studies, 1997, 46(2-3):183-292.
  9. Guarino, N., Giaretta, P. Ontologies and Knowledge Bases: Towards a Terminological Clarification. In N. J. I. Mars (ed.), Towards Very Large Knowledge Bases. 1995, Amsterdam, The Netherlands, 25-32. IOS Press.
  10. Gruber, T. R. Ontology. In L. Liu & M. T. Özsu (Eds.), Encyclopedia of Database Systems (pp. 1963–1965). Berlin: Springer, 2009.
  11. Sure, Y., Staab, S., & Studer, R. Ontology engineering methodology. In S. Staab & R. Studer (Eds.), Handbook on Ontologies (2nd ed., pp. 135–152). Berlin, Heidelberg: Springer, 2009.
  12. Sicilia, M. A., Rodríguez, D., García Barriocanal, E., & Sánchez Alonso, S. . Empirical findings on ontology metrics. Expert Systems with Applications, 39(8), 6706–6711. doi:http://dx.doi.org/10.1016/j. eswa.2011.11.094, 2012.
  13. Gómez Pérez, A., Fernández López, M., & Corcho, O. Ontological engineering – With examples from the areas of knowledge management, e-commerce and the Semantic Web (4th ed.). London, Berlin, Heidelberg: Springer, 2005.
  14. Casellas, N. N. Methodologies, tools and languages for ontology design. In Legal Ontology Engineering (Vol. 3, pp. 57–107). Springer Netherlands. doi:10.1007/978-94-007-1497-7_3, 2011.
  15. Hetmank. Components and Functions of Crowdsourcing Systems – A Systematic Literature Review. In 11th International Conference on Wirtschaftsinformatik (pp. 55–69). Leipzig, 2013.
  16. Uschold, M., & King, M.. Towards a methodology for building ontologies. In Proceedings of the International Joint Conference on AI (IJCAI’95), Workshop on Basic Ontological Issues in Knowledge Sharing. Budapest, 1995.
  17. Lenat D., Guha R., Pittman K., Pratt D., and Shepherd M., "CYC: Toward Programs With Common Sense", ACM Communications, vol. 33, pp. 30-49, 1990.
  18. Gomez-Perez A., "Criteria to Verify Knowledge Sharing Technology", Knowledge Systems Laboratory, Stanford University, 1995.
  19. Grüninger M. and Fox M. "Methodology for the Design and Evaluation of Ontologies", in Proc. of the IJCAI Workshop on Basic Ontological Issues in Knoweldge Sharing, Montreal, Canada, 1995.
  20. Bernaras, A., I. Laresgoiti, and J. Corera. Building and reusing ontologies for electrical network applications. In Proceedings of the 12th European Conference on Artificial Intelligence (ECAI’96), ed. W.Wahlster, 298–302. Budapest, Hungary: Wiley, 1996.
  21. Schreiber, G., Akkermans H., Anjewierden A., Dehoog, R., Shadbolt N., Vandevelde W., and Wielinga B., "Knowledge Engineering and Management: The CommonKADS Methodology", December 1999.
  22. Visser, P. R. S., van Kralingen R. W., and Bench-Capon T. J. M. A method for the development of legal knowledge systems. In Proceedings of the International Conference on Artificial Intelligence and Law (ICAIL’97), ed. J. Zeleznikow, D. Hunter, and L. K. Branting, Melbourne, 151–160. New York: ACM Press, 1997.
  23. IEEE, "IEEE Std 1074-2006: IEEE Standard for Developing a Software Project Life Cycle Process", IEEE, 2006.
  24. NeoN, "The NeoN Project Web site". http://www.neon-pr oject.org/web-content/.
  25. Sure, Y., S. Staab, and R. Studer. On-To-Knowledge methodology (OTKM). In Handbook on ontologies, ed. S. Staab and R. Studer. International handbooks on information systems, 117–132. Berlin: Springer, 2004.
  26. Sure, Y., and R. Studer. September. On-To-Knowledge methodology – final version. Project Deliverable D. 18, EU IST-1999-10132 On-To-Knowledge (Institute AIFB, University of Karlsruhe), 2002.
  27. Pinto, S., Staab, S., Sure, Y., and Tempich C. OntoEdit empowering SWAP: a case study in supporting DIstributed, Loosely-controlled and evolvInG Engineering of oNTologies (DILIGENT). in Proc. of the 1st First European Semantic Web Symposium (ESWS 2004), S. Valencia (Eds.), 2004.
  28. Biebow, B. & Szulman, S. TERMINAE: A linguistics-based tool for the building of a domain ontology. In EKAW ’99 - Proceedings of the 11th European Workshop on Knowledge. Acquisition, Modeling, and Management. Dagstuhl, Germany, LNCS, pages 49–66, Berlin. Springer, 1999.
  29. Aussenac-Gilles, N., Despres, S., Szulman, S. The TERMINAE Method and Platform for Ontology Engineering from texts. Bridging the Gap between Text and Knowledge - Selected Contributions to Ontology Learning and Population from Text. P. Buitelaar, P. Cimiano (Eds.), IOS Press, p. 199-223, 2008.
  30. Mars N.J.I., Ter Stal W.G, De Jong H., Van Der Vet P.E. and Speel, P.H. Semi-automatic Knowledge Acquisition in Plinuis: An Engineering Approach, in proceeding of 8th Banff Knowledge Acquisition for Knowledge-based Systems Workshop, Banff, January 30th-February 4th, 4. 1-4.15. 1994.
  31. Wielinga, B.J., Schreiber, A.TH., Jansweijer, W.H., Anjewierden, A. And Vam Harmelen, F. Framework and Formalism for Expressing Ontologies. KACTUS Project Deliverable DO1b.1, University of Amsterdam. 1994.
  32. Jones, D., Bench-Capon, T., & Visser, P. Methodologies for ontology development. In J. Cuena, editor, Proc. 15th IFIP World Computer Congress, pp. 62–75, London, UK. Chapman and Hall, 1998.
  33. MAHESH, K. “Ontology Development for Machine Translation: Ideology and Methodology”, Technical Report MCCS 96-292, Computing Research Laboratory, New Mexico State University, Las Cruces, NM, 1996.
  34. Bouaud, J., Bachimont B., Charlet J. and Zweigenbaum P. Acquisition and structuring of an ontology within conceptual graphs. Proceedings of Workshop on Knowledge Acquisition using Conceptual Graph Theory, University of Maryland, College Park, MD, 94: 1-25, 1994.
  35. Jang, H.-Y. and H.-P. Shin. 2010. Language-Specific Sentiment Analysis in Morphologically Rich Languages. Proceedings of COLING 2010. To appear.
  36. Junho J.P, Jo J., Shin H. The KOLON System: Tools for Ontological Natural Language Processing in Korean. In the Proceeding of 24th PACLIC Conference. P. 425-432.
  37. Nicola, A.D., Missikoff M., and Navigli, R. A proposal for a unified process for ontology building: UPON. Proceeding of the Database and Expert Systems Applications, pp: 655-664, 2005.
  38. Guarino, N., and Welty C. An overview of OntoClean. In Handbook on ontologies:International handbook on information systems, ed. S. Staab and R. Studer, 151–171. Berlin: Springer, 2004.
  39. Gomez-Perez A., Corcho-Garcia, O., Fernandez -Lopez, M.: Ontological Engineering. Springer, New York, 2003.
  40. Simperl, E., Tempich, C.: Exploring the economical aspects of ontological engineering. In:Staab, S., Studer, R. (eds.) Handbook on Ontologies. International Handbooks on Information Systems, 2nd edn, pp. 337–358. Springer, Heidelberg, 2009.
  41. Tempich, C., Simperl, E., Luczak, M., Studer, R., Pinto, H.S.: Argumentation-based ontology engineering. IEEE Intell. Syst. 22(6), 52–59, 2007.
  42. Vrandecic , D.: Ontology evaluation. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. International Handbooks on Information Systems, 2nd edn, pp. 293–313. Springer, Heidelberg, 2009.
  43. Tempich, C., Pinto, H.S., Sure, Y., Staab, S.: An argumentation ontology for DIstributed, Loosely-controlled and evolvInG Engineering processes of oNTologies (DILIGENT). In: Gomez-Perez, A., Euzenat, J. (eds.) Proceedings of the Second European Semantic Web Conference (ESWC 2005), Heraklion. Lecture Notes in Computer Science, vol. 3532, pp. 241–256. Springer, Berlin, 2005.
  44. Garcia Castro, A., Rocca-Serra, P., Stevens, R., Taylor, C., Nashar, K., Ragan, M.A., Sansone, S.-A.: The use of concept maps during knowledge elicitation in ontology development processes-the nutrigenomics use case. BMC Bioinform. 7, 267, 2006.
  45. Wennerberg, P., Zillner, S.,Moller,M., Buitelaar, P., Sintek, M.: KEMM: a knowledge engineering methodology in the medical domain. In: Eschenbach, C., Gruninger, M. (eds.) Proceedings of the Fifth International Conference on Formal Ontology in Information Systems (FOIS 2008), Saarbrucken. Frontiers in Artificial Intelligence and Applications, Saarbrucken, vol. 183,pp. 79–91. IOS Press, Amsterdam, 2008.
  46. Fernández-López, M., A. Gómez-Pérez and N. Juristo. Methontology: From ontological art towards ontological engineering. Proceeding of the Spring Symposium on Ontological Engineering (AAAI), pp: 33-40, 1997.
  47. Iqbal R., An Analysis of Ontology Engineering Methodologies: A Literature Review. Research Journal of Applied Sciences Engineering and Technology 6(16):2993– 3000, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Ontology Ontology Engineering Knowledge based systems Ontology Building