Exploiting the Collective Knowledge of Communities of Experts - The Case of Conference Ranking

Federico Cabitza, Angela Locoro

2015

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.

Paper Citation

in Harvard Style

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 - Volume 3: KMIS, (IC3K 2015) ISBN 978-989-758-158-8, pages 159-167. DOI: 10.5220/0005592601590167

in Bibtex Style

@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 - Volume 3: KMIS, (IC3K 2015)},
year={2015},
pages={159-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005592601590167},
isbn={978-989-758-158-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015)
TI - Exploiting the Collective Knowledge of Communities of Experts - The Case of Conference Ranking
SN - 978-989-758-158-8
AU - Cabitza F.
AU - Locoro A.
PY - 2015
SP - 159
EP - 167
DO - 10.5220/0005592601590167