Metodologie budowy i oceny ontologii

• Autorzy: Perkowski R.
• Języki publikacji: PL

Abstrakty

PL

Artykuł dotyczy problematyki budowy i oceny ontologii. Najpierw przedstawiono definicje, typy i model formalny ontologii, a następnie omówiono kilka najbardziej znanych metodologii budowy ontologii, jakie pojawiły się na przestrzeni ostatnich kilkunastu lat. Są to m.in. metodologie Cyc, Uschold-King, Gruninger-Fox, Kactus, Methontology, Sensus i najnowsza On-To-Knowledge. Ostatnia część dotyczy problemu oceny poprawności i jakości zbudowanych struktur ontologicznych. Omówione zostały dwie metody stosowane w ocenie poprawności zbudowanych struktur ontologicznych.

Słowa kluczowe

PL

metodologia budowy antologii; ontologia; ocena ontologii; model formalny ontologii

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Informatyka Teoretyczna i Stosowana
• Rocznik: 2003
• Tom: R. 3, nr 5
• Strony: 179--192
• Opis fizyczny: Bibliogr. 25 poz.

Twórcy

autor

Perkowski R.

• Instytut Informatyki, Politechnika Warszawska ul. Nowowiejska 15/19, 00-665 Warszawa

Bibliografia

• [1] Maedche A., Ontology learning for the Semantic Web, Kluwer Academic Publishers, 2003.
• [2] Bemers-Lee T., Hendler J., Lassila O., The Semantic Web, Scientific American, May 2001.
• [3] Guarino N., Understanding, building, and using ontologies, LADSEB-CNR 1997.
• [4] Gruber T.R., A translation approach to portable ontology specifications, Knowledge Acquisition 1993, 5.
• [5] Studer R., Benjamins R., Fensel D., Knowledge Engineering: Principles and Methods, DKE 1998, 25(1-2), 161-197.
• [6] Subieta K., Wprowadzenie do inżynierii oprogramowania, PJWSTK 2002.
• [7] Femandez-Lopez M., Gomez-Perez A., A survey on methodologies for developing, maintaining, evaluating and reengineering ontologies, OntoWeb 2002.
• [8] Ding Y., Foo S., Ontology research and development - a review of ontology generation, Journal of Information Science 2002.
• [9] Corcho O., Femandez-Lopez M., Gomez Perez A., Technical Roadmap vl.0, OntoWeb, 1ST Project.
• [10] Schnurr H.P., Sure Y., Studer R., Akkermans H., On-To-Knowledge methodology baseline version, OTK Project 2000.
• [11] Uschold M., Gruninger M., Ontologies: Principles Methods and Applications, Knowledge Sharing and Review 1996, 2.
• [12] Lenat D.B., Guha R.V., Building large knowledge-based systems, Addison-Wesley Publising Company, Inc. 1990.
• [13] Uschold M., King M., Towards a Methodology for Building Ontologies. Workshop on Basic Ontological Issues in Knowledge Sharing 1995.
• [14] Gruninger M., Fox M.S., Methodology for the design and evaluation of ontologies, Workshop on Basic Ontological Issues in Knowledge Sharing, Montreal 1995.
• [15] Bemaras A., Laresgoiti I., Corera J., Building and Reusing Ontologies for Electrical Network Applications, Proceedings of the European Conference on Artificial Intelligence (ECAI96), 298-302.
• [16] Femandez-Lopez M., Gomez Perez A., Rojas Amaya M.D., Ontologies crossed life cycles, Workshop on Knowledge Acquisition, Modelling and Management (EKAW), Springer Verlag 2000, 65-79.
• [17] Fernandez M., Gomez-Perez A., Juristo N., METHONTOLOGY: From Ontological Art Towards Ontological Engineering, Symposium on Ontological Engineering of AAAI, Stanford 1997.
• [18] Swartout B., Ramesh P., Knight K., Russ T., Toward Distributed Use of Large-Scale Ontologies, Symposium on Ontological Engineering of AAAI, Stanford 1997, 138-148.
• [19] Staab S., Schnurr H.-P., Studer R., Sure Y., Knowledge Processes and Ontologies, IEEE Intelligent Systems 2001, 16(1), January/February.
• [20] IEEE Standard for Developing Software Life Cycle Processes, IEEE Computer Society, New York 1996.
• [21] Welty C., Guarino N., Supporting Ontological Analysis of Taxonomic Relationships, Data and Knowledge Engineering, September 2001.
• [22] Gomez-Perez A., Evaluating ontologies: Cases of Study, IEEE Intelligent Systems and their Applications, Special Issue on Verification and Validation of Ontologies.
• [23] Gomez-Perez A., Evaluation of Taxonomic Knowledge in Ontologies and Knowledge Bases, Twelfth Workshop on Knowledge Acquisition, Modeling and Management, Alberta 1999.
• [24] Femandez-Lopez M., Gomez-Perez A., Pazos-Sierra A., Pazos-Sierra J., Building a Chemical Ontology Using Methontology and the Ontology Design Environment, IEEE Intelligent Systems & their Applications 1999, January/February, 37-46.
• [25] Guarino N., Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration, (in:) M.T. Pazienza (ed.) Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology. Springer Verlag 1997, 139-170.