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Int.ere.st: Building a tag sharing service with the SCOT ontology

Authors
Kim, H.Breslin, J.G.Yang, S.Song, S.Kim, H.
Issue Date
2008
Citation
AAAI Spring Symposium - Technical Report, v.SS-08-06, pp 42 - 47
Pages
6
Journal Title
AAAI Spring Symposium - Technical Report
Volume
SS-08-06
Start Page
42
End Page
47
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65363
ISSN
0000-0000
Abstract
Although a number of people have participated in tagging activity on many Web 2.0 sites and the sites allow users to get their tagging data through Mash-up APIs, there are many issues (e.g. tag semantics) associated with social tagging or folksonomies. Many studies have focused on semantics of a tag that offers a way of exact meaning of an individual tag or among the tags. Surprisingly, there has been minimal research regarding tag sharing or exchange. We suggest a semantic model, is called the 'SCOT (Semantic Social Cloud of Tags)', to represent the structure and the semantics of tagging data. We also discuss social tagging processes in order to provide semantic interoperability of tagging data among diverse sources. The int.ere.st web site aims to allow users to search and bookmark their social tagging data and to help the sharing and exchange of tagging data among people or heterogenous sources. We give an overview of int.ere.st with the social tagging processes and describe specific algorithms to support the processes. Copyright © 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
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사회과학대학 (문헌정보학과)
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