Title :
Development of Knowledge Management Based on Task Circumstance
Author :
Ming-jian Zhou ; Jun-cai Tao
Author_Institution :
Sch. of Comput. Sci. & Technol., Nanchang Univ., Nanchang, China
Abstract :
Knowledge Management (KM) plays the key role in upgrading the competitiveness of an organization, one of objectives of KM is to promote the share and reuse of all kind of knowledge. To this end, task circumstance (TC) of knowledge is crucial. Base on task circumstance, this paper proposes a framework of KM to facilitate knowledge reuse. According to the definition of domain ontology, this paper introduces the concept of TC, and then presents a method of TC annotation. Base on the TC MiniTree, we propose a novel method of evaluating TC semantic similarity, and finally introduce a knowledge match algorithm to retrieve appropriate knowledge for application precisely and quickly.
Keywords :
knowledge management; ontologies (artificial intelligence); domain ontology; knowledge management; knowledge match algorithm; task circumstance MiniTree; task circumstance annotation; task circumstance semantic similarity; Computer architecture; Computers; Context; Knowledge management; Ontologies; Organizations; Semantics; knowledge management; ontology; semantic similarity; task circumstance;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.455