An agent environment for contextualizing folksonomies in a triadic context
- Authors
- Kim, Hong-Gee; Hwang, Suk-Hyung; Kang, Yu-Kyung; Kim, Hak-Lae; Yang, Hae-Sool
- Issue Date
- 2007
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PROCEEDINGS, v.4496, pp 728 - +
- Journal Title
- AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PROCEEDINGS
- Volume
- 4496
- Start Page
- 728
- End Page
- +
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65403
- ISSN
- 0302-9743
1611-3349
- Abstract
- Standardized infrastructure for information or knowledge sharing is required to make autonomous agents interdependent on each other for effective collaboration in a multi-agent system. Folksonomy has become very popular as an enabling technology to provide a common conceptualization of the data that agent systems use. However, there are problems on free-form tagging in folksonomy. Folksonomy is only concerned with a group of instances which are labeled with tags without a formal definition. No available tool provides a way to contextualize folksonornies with respect to users, communities, goals, tasks, and so on. There is no formal approach to classifying and sharing tags that reflect a user's mental model of information resources in terms of folksonomy. We present a novel approach to developing an agent environment for contextualizing folksonomies in a triadic context using Formal Concept Analysis. We conducted an experiment to build concept hieracrhies and contextualize folksonon-ties from tags of blogosphere.
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- Appears in
Collections - College of Social Sciences > Department of Library & Information Science > 1. Journal Articles
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