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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorKiu, CC-
dc.creatorTsui, E-
dc.creatorSabetzadeh, F-
dc.descriptionThe Artificial Intelligence Workshops (AIW) 2011 are held in conjunction the 3rd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2011), and the 3rd Semantic Technology And Knowledge Engineering Conference (STAKE 2011) at UNITEN Putrajaya Campus, Malaysia.en_US
dc.rightsReproduced with permission of the author.en_US
dc.subjectPersonal learning environmenten_US
dc.subjectWeb 2.0en_US
dc.subjectSemantic weben_US
dc.subjectExpertise locater systemen_US
dc.titleAn ontology-based expert locator system in a Web 2.0-oriented personal learning environmenten_US
dc.typeConference Paperen_US
dcterms.abstractPersonal Learning Environments (PLE) are set up by learners using a dynamic and growing set of Web 2.0 tools which, together, foster a rich knowledge, highly personalized and collaborative environment. While there is a lot of ongoing work and successes in developing the Web 2.0 technologies, the issues of how to leverage on PLE to truly foster a co-learning environment and how to identify "experts" (or more knowledgeable people) in PLEs have not been explored so far. Invariably, as in any learning communities, different levels of expertise (and experience) exist in a community. Novice learners often lack the needed knowledge and experience in configuring their most effective PLEs. Successful and easy location of experts can not only improve learning processes and also enhance the quality of the environment for all learners. This paper presents an ontology-based expert locator framework for supporting personal learning in a Web 2.0 environment.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPaper presented at the Artificial Intelligence Workshops (AIW 2011), July 18th-19th, 2011.UNITEN Putrajaya Campus, Malaysia-
dc.description.ros2011-2012 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
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