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http://hdl.handle.net/10609/109806
Title: Integrating descriptions of knowledge management learning activities into large ontological structures: A case study
Author: Sicilia Urbán, Miguel Ángel
Lytras, Miltiadis
Rodríguez González, M. Elena  
García Barriocanal, Elena
Others: Universitat Oberta de Catalunya (UOC)
Universidad de Alcalá
University of Athens
Keywords: ontologies
data models
knowledge management
learning objects
Issue Date: 25-Apr-2005
Publisher: Data and Knowledge Engineering
Citation: Sicilia Urbán, M., Lytras, M., Rodríguez González, M.E. & García Barriocanal, E. (2006). Integrating descriptions of knowledge management learning activities into large ontological structures: A case study. Data and Knowledge Engineering, 57(2), 111-121. doi: 10.1016/j.datak.2005.04.001
Also see: https://doi.org/10.1016/j.datak.2005.04.001
Abstract: Ontologies have been recognized as a fundamental infrastructure for advanced approaches to Knowledge Management (KM) automation, and the conceptual foundations for them have been discussed in some previous reports. Nonetheless, such conceptual structures should be properly integrated into existing ontological bases, for the practical purpose of providing the required support for the development of intelligent applications. Such applications should ideally integrate KM concepts into a framework of commonsense knowledge with clear computational semantics. In this paper, such an integration work is illustrated through a concrete case study, using the large OpenCyc knowledge base. Concretely, the main elements of the Holsapple & Joshi KM ontology and some existing work on e-learning ontologies are explicitly linked to OpenCyc definitions, providing a framework for the development of functionalities that use the built-in reasoning services of OpenCyc in KM ctivities. The integration can be used as the point of departure for the engineering of KM-oriented systems that account for a shared understanding of the discipline and rely on public semantics provided by one of the largest open knowledge bases available.
Language: English
URI: http://hdl.handle.net/10609/109806
ISSN: 0169-023XMIAR
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