Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72830-6_76 | KES-AMSTA |
Keywords | DocType | Volume |
information resource,Contextualizing Folksonomies,contextualize folksonomies,Agent Environment,formal definition,formal approach,contextualizing folksonomies,knowledge sharing,novel approach,Formal Concept Analysis,agent environment,Triadic Context,agent system | Conference | 4496 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong-Gee Kim | 1 | 225 | 22.83 |
| Suk-hyung Hwang | 2 | 10 | 3.91 |
| Yu-kyung Kang | 3 | 0 | 1.35 |
| Hak-Lae Kim | 4 | 67 | 4.90 |
| Hae-Sool Yang | 5 | 37 | 9.67 |