Abstract
Tagging has proven to be a successful and efficient way for creating metadata through a human collective intelligence. It can be considered not only an application of individuals for expressing one’s interests, but also as a starting point for leveraging social connections through collaborative user participations. A number of users have contributed to tag resources in web sites such as Del.icio.us, Flickr etc.
However, there is no uniform structure to describe tags and user’s activities. This makes difficult to share and represent tag data among people. The SCOT (Social Semantic Cloud of Tags) ontology is aimed to represent the structure and semantics of a set of tags and promotes their global sharing. The paper introduce the SCOT ontology and methods of its representation.
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Keywords
- Semantic Model
- Social Bookmark
- Machine Agent
- Digital Enterprise Research Institute
- Human Collective Intelligence
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Kim, HL., Breslin, J.G., Yang, SK., Kim, HG. (2008). Social Semantic Cloud of Tag: Semantic Model for Social Tagging. In: Nguyen, N.T., Jo, G.S., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2008. Lecture Notes in Computer Science(), vol 4953. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78582-8_9
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DOI: https://doi.org/10.1007/978-3-540-78582-8_9
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