An Agent Environment for Contextualizing Folksonomies in a Triadic Context

  • Authors:

  • Hong-Gee Kim;Suk-Hyung Hwang;Yu-Kyung Kang;Hak-Lae Kim;Hae-Sool Yang

  • Affiliations:

  • School of Dentistry, Seoul National University, 28-22 Yeonkun-Dong, Chongno-Ku, Seoul 110-749, Korea;Division of Computer and Information Science, SunMoon University, 100 Kal-San-Ri, Tang-Jeong-Myon, A-San, Chung-Nam, 336-840, Korea;Division of Computer and Information Science, SunMoon University, 100 Kal-San-Ri, Tang-Jeong-Myon, A-San, Chung-Nam, 336-840, Korea;Digital Enterprise Research Institute, IDA Business Park, Galway, Ireland;Seoul University of Venture and Information, 37-18 SamSung-Dong, Kang-Nam, Seoul, Korea

  • Venue:
  • KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
  • Year:
  • 2007

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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 folksonomies 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 folksonomies from tags of blogosphere.