Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394936
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAhmad Mukhlason-
dc.contributor.authorAhmad Kamil Mahmood-
dc.contributor.authorNoreen Izza Arshad-
dc.date.accessioned2023-06-15T07:52:28Z-
dc.date.available2023-06-15T07:52:28Z-
dc.identifier.otherukmvital:122430-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/394936-
dc.description.abstractManual ontology construction has proven to be very difficult task and is becoming a problem in the process of acquiring knowledge for ontology engineer. This article presents a semi-automatic ontological knowledge base construction framework and several aspects of evaluating the semi-automatic ontology generation tool in eLearning Management System setting. The framework combined an ontology learning tool called Text2Onto to construct ontology from scratch and an ontology mapping tool called PROMPT to map the ontology the existing ontology. Experiment on generating ontology from text corpus shows a significant result for knowledge concept extraction.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE),Piscataway, US-
dc.subjectSemi automatic ontological knowledge-
dc.subjecteLearning management system-
dc.titleSemi automatic ontological knowledge base construction from learning materials in eLearning management system-
dc.typeSeminar Papers-
dc.format.pages7-
dc.identifier.callnoT58.5.C634 2008 kat sem j.2-
dc.contributor.conferencenameInternational Symposium on Information Technology-
dc.coverage.conferencelocationKuala Lumpur Convention Centre-
dc.date.conferencedate26/08/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.