Learning domain semantics for knowledge management

Kannan, Subarmaniam (2011) Learning domain semantics for knowledge management. PhD thesis, Multimedia University.

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Abstract

Knowledge management enables organisat ion to gain strategic economic competit iveness by managing its intellectual assets. In recent years, Semantic Web technology has been used to discovers, capture, store, disseminate, share and reuse knowledge. Since most of organisat ional knowledge in the form of unstructured text documents, ontology learning methodologies are used to extract and model the concepts and its relationship, and present it as ontologies. However, most of ontology learning approaches used in knowledge management init iatives are centralised and developed by a small group of domain expert and knowledge engineers. The end users of domain ontology based application are neglected in building ontology. This isolated ontology development has hindered the mass adoption of semant ic technology in knowledge management communit ies. The complexit y in ontology learning procedures and techniques is another barrier that has hindered user participation. User involvement in ontology building is important as they are the originators and benefactors of domain knowledge. In order to allow mass adoption and participation in ontology building, users need to be empowered with simpler tools and techniques. In this research, a decentralised user based hybrid ontology learning framework is introduced which combine lexico-syntactic techniques and XML based techniques wit h the use of an integrated ontology development environment (IODE). The lexico-syntactic method utilises the subject-predicate-object pattern. The XML technique is used to provide a transit ion model to structure the extracted semant ics to support smoother ontologies translation. The use of IODE is to generate the ontologies using a predefined built in ontology that converts XML to OWL translation.

Item Type: Thesis (PhD)
Additional Information: Call Number: HD30.2 S83 2011
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management
Divisions: Faculty of Creative Multimedia (FCM)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 26 Feb 2014 01:52
Last Modified: 26 Feb 2014 01:52
URI: http://shdl.mmu.edu.my/id/eprint/5238

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