An integration-oriented ontology development methodology to reuse existing ontologies in an ontology development process

Ontology is defined as an explicit specification of a conceptualization and can be used to provide a shared understanding of a domain which is necessary to overcome differences in terminology from various sources. To build high quality ontologies, developers are required to choose and follow a suitable methodology containing a series of steps, activities and guidelines organized in a systematic way. In this paper, we develop guidelines on how to select ontology merging or integration which has not been explored in any ontology research. As it is more cost effective to build an ontology reusing existing ontologies (integration and merging) than from scratch, we therefore propose an ontology development methodology, MIOD, which incorporates and performs ontology integration in its development process. A semi-automatic key term evaluation system is developed to find suitable source ontologies from a group of candidate ontologies. The proposed methodology and system are used to address the insufficiency of current ontology development and integration methodologies.

[1]  Frank van Harmelen,et al.  A semantic web primer , 2004 .

[2]  N. F. Noy,et al.  Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .

[3]  Mike Uschold,et al.  Building Ontologies: Towards a Unified Methodology , 1996 .

[4]  Trevor J. M. Bench-Capon,et al.  METHODOLOGIES FOR ONTOLOGY DEVELOPMENT , 2007 .

[5]  Gerd Stumme,et al.  FCA-MERGE: Bottom-Up Merging of Ontologies , 2001, IJCAI.

[6]  H. Sofia Pinto,et al.  A methodology for ontology integration , 2001, K-CAP '01.

[7]  Steffen Staab,et al.  Knowledge Processes and Ontologies , 2001, IEEE Intell. Syst..

[8]  Jintae Lee,et al.  The roles of scenario use in ontology development , 2006 .

[9]  Nicole Tsang,et al.  To provide guidelines for designing new mediation tools and identifying matching technique: a classification framework approach , 2009, iiWAS.

[10]  Fadila Bentayeb,et al.  Automatic Ontology Merging by Hierarchical Clustering and Inference Mechanisms , 2010 .

[11]  Asunción Gómez-Pérez,et al.  Building a chemical ontology using Methontology and the Ontology Design Environment , 1999, IEEE Intell. Syst..

[12]  York Sure-Vetter,et al.  The DILIGENT knowledge processes , 2005, J. Knowl. Manag..

[13]  Mark S. Fox,et al.  The Role of Competency Questions in Enterprise Engineering , 1995 .

[14]  Liang Hong,et al.  A Model and Approach for Heterogeneous Ontology Automatic Merging , 2009, 2009 International Joint Conference on Computational Sciences and Optimization.

[15]  Omar Chiotti,et al.  A process for building a domain ontology: an experience in developing a government budgetary ontology , 2006 .

[16]  H. S. Pinto Towards Ontology Reuse , 2003 .

[17]  K. D. Joshi,et al.  A collaborative approach to ontology design , 2002, CACM.

[18]  Deborah L. McGuinness,et al.  An Environment for Merging and Testing Large Ontologies , 2000, KR.

[19]  Mark A. Musen,et al.  The PROMPT suite: interactive tools for ontology merging and mapping , 2003, Int. J. Hum. Comput. Stud..

[20]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[21]  Mark A. Musen,et al.  SMART: Automated Support for Ontology Merging and Alignment , 1999 .

[22]  Martin L. King,et al.  Towards a Methodology for Building Ontologies , 1995 .