Abstract
The paper describes ONTOCOPI, a tool for identifying communities of practice (COPs) by analysing ontologies of the relevant working domain. COP identification is currently a resource-heavy process largely based on interviews. ONTOCOPI attempts to uncover informal COP relations by spotting patterns in the formal relations represented in ontologies, traversing the ontology from instance to instance via selected relations. Experiments to determine particular COPs from an academic ontology are described, showing how the alteration of threshold and temporal settings, and the weights applied to the ontology’s relations affect the composition of the identified COP.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-0-387-35602-0_35
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Alani, H., O’Hara, K., Shadbolt, N. (2002). Ontocopi. In: Musen, M.A., Neumann, B., Studer, R. (eds) Intelligent Information Processing. IIP 2002. IFIP — The International Federation for Information Processing, vol 93. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35602-0_20
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DOI: https://doi.org/10.1007/978-0-387-35602-0_20
Publisher Name: Springer, Boston, MA
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