Developing ontologies in decentralised settings
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- University of Bremen, Bremen, Germany
- Terry Fox Laboratory, Vancouver, Canada
- E-Business and Web Science Research Group, Bundeswehr University, Munich
- School of Computing Science, Newcastle University, Newcastle upon Tyne, UK
- Department of Computer Science University of Manchester Kilburn Building Oxford Road Manchester M13 9PL UK
- Ontology Engineering Group. Departamento de Inteligencia Artificial, Facultad de Informtica, Universidad Politcnica de Madrid, Spain
- Abcam plc, Cambridge Science Park, Cambridge, UK
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- Document Type:
- Manuscript
- Date:
- Received 08 May 2009 07:51 UTC; Posted 08 May 2009
- Subjects:
- Bioinformatics
- Abstract:
This paper addresses two research questions: “How should a well-engineered methodology facilitate the development of ontologies within communities of practice?” and “What methodology should be used?” If ontologies are to be developed by communities then the ontology development life cycle should be better understood within this context. This paper presents the Melting Point (MP), a proposed new methodology for developing ontologies within decentralized settings. It describes how MP was developed by taking best practices from other methodologies, provides details on recommended steps and recommended processes, and compares MP with alternatives. The methodology presented here is the product of direct first-hand experience and observation of biological communities of practice in which some of the authors have been involved. The Melting Point is a methodology engineered for decentralised communities of practice for which the designers of technology and the users may be the same group. As such, MP provides a potential foundation for the establishment of standard practices for ontology engineering.
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- This document is licensed to the public under the Creative Commons Attribution 3.0 License
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Garcia, Alexander , O’Neill, Kieran, Garcia, Leyla, Lord, Phillip, Stevens, Robert, Corcho, Oscar, and Gibson, Frank. Developing ontologies in decentralised settings. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2009.3231.1> (2009)
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