Social Mediation for Collective Intelligence in a Large Multi-agent Communities: A Case Study of AnnotGrid

Authors:
Jason J. Jung;Geun-Sik Jo
Affiliations:
Department of Computer and Information Engineering, Inha University, Republic of Korea;Department of Computer and Information Engineering, Inha University, Republic of Korea
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Year:
2007

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Abstract

Collective intelligence is a key issue for efficient collaborations on semantic grid environment. Through interactions among agents on the semantic grid, we want to discover social centralities underlying on agent communities. In this paper, we propose an ontology mapping approach to build collective intelligence based on social mediation. As a case study, we demonstrate AnnotGridplatform to support manual annotation tasks of image dataset.