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Authors: Federico Cabitza and Angela Locoro

Affiliation: Università degli Studi di Milano Bicocca, Italy

Keyword(s): Collective Knowledge, Communities of Experts, Practice Census, Knowledge Externalization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Best Practices & Communities of Practice ; Communities of Practice ; Computer-Supported Education ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Learning/Teaching Methodologies and Assessment ; Society, e-Business and e-Government ; Studies, Metrics & Benchmarks ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: In this paper, we discuss the concept of tacit collective knowledge and focus on how to externalize it to inform discussion and reflective thinking within a community of expert practitioners about their own distributed practices. We draw our approach by outlining the one we undertook in the domain of a scholarly community: how to assess the quality of scientific conferences in the broad area of computer science and IT study. Results show the feasibility and scalability of the approach adopted to externalize tacit collective knowledge.

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Paper citation in several formats:
Cabitza, F. and Locoro, A. (2015). Exploiting the Collective Knowledge of Communities of Experts - The Case of Conference Ranking. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 159-167. DOI: 10.5220/0005592601590167

@conference{kmis15,
author={Federico Cabitza. and Angela Locoro.},
title={Exploiting the Collective Knowledge of Communities of Experts - The Case of Conference Ranking},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS},
year={2015},
pages={159-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005592601590167},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS
TI - Exploiting the Collective Knowledge of Communities of Experts - The Case of Conference Ranking
SN - 978-989-758-158-8
IS - 2184-3228
AU - Cabitza, F.
AU - Locoro, A.
PY - 2015
SP - 159
EP - 167
DO - 10.5220/0005592601590167
PB - SciTePress

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