Integrating descriptions of knowledge management learning activities into large ontological structures:: A case study

被引:36
作者
Sicilia, MA
Lytras, M
Rodríguez, E
García-Barriocanal, E
机构
[1] Univ Alcala de Henares, Dept Comp Sci, Polytech Sch, Madrid 28871, Spain
[2] Athens Univ Econ & Business, Dept Management Sci & Technol, ELTRUN, Res Ctr, Athens 11362, Greece
[3] Open Univ Catalonia, Barcelona 08035, Spain
关键词
ontologics; data models; knowledge management; learning objects;
D O I
10.1016/j.datak.2005.04.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 common-sense 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 and 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 activities. 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. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:111 / 121
页数:11
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