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 AnnotGrid platform to support manual annotation tasks of image dataset.
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Jung, J.J., Jo, GS. (2007). Social Mediation for Collective Intelligence in a Large Multi-agent Communities: A Case Study of AnnotGrid. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72586-2_101
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DOI: https://doi.org/10.1007/978-3-540-72586-2_101
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