Human-centered ontology engineering: The HCOME methodology

The fast emergent and continuously evolving areas of the Semantic Web and Knowledge Management make the incorporation of ontology engineering tasks in knowledge-empowered organizations and in the World Wide Web more than necessary. In such environments, the development and evolution of ontologies must be seen as a dynamic process that has to be supported through the entire ontology life cycle, resulting to living ontologies. The aim of this paper is to present the Human-Centered Ontology Engineering Methodology (HCOME) for the development and evaluation of living ontologies in the context of communities of knowledge workers. The methodology aims to empower knowledge workers to continuously manage their formal conceptualizations in their day-to-day activities and shape their information space by being actively involved in the ontology life cycle. The paper also demonstrates the Human Centered ONtology Engineering Environment, HCONE, which can effectively support this methodology.

[1]  M. Fernández-López,et al.  Overview of methodologies for building ontologies , 1999, IJCAI 1999.

[2]  Boris Motik,et al.  Ontology Evolution within Ontology Editors , 2002, EON.

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

[4]  H. Sofia Pinto,et al.  Ontologies: How can They be Built? , 2004, Knowledge and Information Systems.

[5]  George A. Vouros,et al.  Technological issues towards knowledge-powered organizations , 2003, J. Knowl. Manag..

[6]  Balakrishnan Chandrasekaran,et al.  What are ontologies, and why do we need them? , 1999, IEEE Intell. Syst..

[7]  Michael Gruninger,et al.  Methodology for the Design and Evaluation of Ontologies , 1995, IJCAI 1995.

[8]  Steffen Staab,et al.  DILIGENT: Towards a fine-grained methodology for Distributed, Loosely-controlled and evolving Engineering of oNTologies , 2004, ECAI.

[9]  George A. Vouros,et al.  Capturing Semantics Towards Automatic Coordination of Domain Ontologies , 2004, AIMSA.

[10]  Richard Power,et al.  What You See Is What You Meant: direct knowledge editing with natural language feedback , 1998, ECAI.

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

[12]  George A. Vouros,et al.  Simple and EuroWordNet: Towards the Prometheus ontological framework , 2002 .

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

[14]  Kuntz Werner,et al.  Issues as Elements of Information Systems , 1970 .

[15]  J. Brown,et al.  Bridging epistemologies: The generative dance between organizational knowledge and organizational knowing , 1999, STUDI ORGANIZZATIVI.

[16]  Michael Uschold Where Are the Semantics in the Semantic Web? , 2003, AI Mag..

[17]  Rudi Studer,et al.  On-To-Knowledge Methodology Baseline Version , 2000 .

[18]  George A. Vouros,et al.  Human Centered Ontology Management with HCONE , 2003 .

[19]  Kenneth M. Ford,et al.  The triples rule , 2002, IEEE Intelligent Systems.

[20]  Vimla L. Patel,et al.  Designing Human-Centered Distributed Information Systems , 2002, IEEE Intell. Syst..

[21]  Fernandez Lopez,et al.  Overview Of Methodologies For Building Ontologies , 1999, IJCAI 1999.

[22]  T. Landauer,et al.  Indexing by Latent Semantic Analysis , 1990 .

[23]  John R. Josephson,et al.  What Are They? Why Do We Need Them? , 1999 .

[24]  Olivier Corby,et al.  Assessment of Ontology-based Tools: Systemizing the Scenario Approach , 2002, EON.