Expertise Finding for an Electronic Journal
Finding expertise is an important task required in all organisations and institutions. In looking for expertise, one typically relies on the compilation of information from multiple sources such as organisational directories and social networks. This approach has been applied to enhance the Journal...
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Faculty of Computer Science and Information Technology
2008
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Online Access: | http://ir.unimas.my/id/eprint/1235/1/53_Expertise%2BFinding%2Bfor%2Ban%2BElectronic%2BJournal%2528abstract%2529.pdf http://ir.unimas.my/id/eprint/1235/ |
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my.unimas.ir.12352015-03-23T08:23:28Z http://ir.unimas.my/id/eprint/1235/ Expertise Finding for an Electronic Journal Muhammad Tanvir, Afzal Kulathuramaiyer, Narayanan Maurer, Hermann AC Collections. Series. Collected works T Technology (General) Finding expertise is an important task required in all organisations and institutions. In looking for expertise, one typically relies on the compilation of information from multiple sources such as organisational directories and social networks. This approach has been applied to enhance the Journal of Universal Computer Science to enable it to become a still more valuable scholarly resource. This paper describes a multi-faceted representation of expertise, by consolidating human specified expert profile with systemic assessment of expertise. The multifaceted approach is an important in the consolidation of information from multiple sources, in an effort to expand on the characterisation of expertise. The strength of this approach is drawn from the incorporation of intangible metrics for expertise assessment. This paper has revealed interesting directions for the automatic discovery of expertise in scholarly communities. Faculty of Computer Science and Information Technology 2008 Conference or Workshop Item NonPeerReviewed text en http://ir.unimas.my/id/eprint/1235/1/53_Expertise%2BFinding%2Bfor%2Ban%2BElectronic%2BJournal%2528abstract%2529.pdf Muhammad Tanvir, Afzal and Kulathuramaiyer, Narayanan and Maurer, Hermann (2008) Expertise Finding for an Electronic Journal. In: I-KNOW ’08 and I-MEDIA '08 Graz, September 3-5, 2008, Austria. |
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AC Collections. Series. Collected works T Technology (General) |
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AC Collections. Series. Collected works T Technology (General) Muhammad Tanvir, Afzal Kulathuramaiyer, Narayanan Maurer, Hermann Expertise Finding for an Electronic Journal |
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Finding expertise is an important task required in all organisations and institutions. In looking for expertise, one typically relies on the compilation of information from multiple sources such as organisational directories and social networks. This approach has been applied to enhance the Journal of Universal Computer Science to enable it to become a still more valuable scholarly resource. This paper describes a multi-faceted representation of expertise, by consolidating human specified expert profile with systemic assessment of expertise. The multifaceted approach is an important in the consolidation of information from multiple sources, in an effort to expand on the characterisation of expertise. The strength of this approach is drawn from the incorporation of intangible metrics for expertise assessment. This paper has revealed interesting directions for the automatic discovery of expertise in scholarly communities. |
format |
Conference or Workshop Item |
author |
Muhammad Tanvir, Afzal Kulathuramaiyer, Narayanan Maurer, Hermann |
author_facet |
Muhammad Tanvir, Afzal Kulathuramaiyer, Narayanan Maurer, Hermann |
author_sort |
Muhammad Tanvir, Afzal |
title |
Expertise Finding for an Electronic Journal |
title_short |
Expertise Finding for an Electronic Journal |
title_full |
Expertise Finding for an Electronic Journal |
title_fullStr |
Expertise Finding for an Electronic Journal |
title_full_unstemmed |
Expertise Finding for an Electronic Journal |
title_sort |
expertise finding for an electronic journal |
publisher |
Faculty of Computer Science and Information Technology |
publishDate |
2008 |
url |
http://ir.unimas.my/id/eprint/1235/1/53_Expertise%2BFinding%2Bfor%2Ban%2BElectronic%2BJournal%2528abstract%2529.pdf http://ir.unimas.my/id/eprint/1235/ |
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1644508813347258368 |
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13.211869 |