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Authors: Guillaume Surroca 1 ; Philippe Lemoisson 2 ; Clément Jonquet 1 and Stefano Cerri 1

Affiliations: 1 Robotics Micro-Electronics of Montpellier, France ; 2 CIRAD, France

ISBN: 978-989-758-158-8

Keyword(s): Knowledge Representation, Knowledge Discovery and Dissemination, Serendipity, User-Centered Knowledge Engineering, Collective Intelligence, Web 2.0, Agents.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Symbolic Systems

Abstract: The Web currently stores two types of content. These contents include linked data from the semantic Web and user contributions from the social Web. Our aim is to represent simplified aspects of these contents within a unified topological model and to harvest the benefits of integrating both content types in order to prompt collective learning and knowledge discovery. In particular, we wish to capture the phenomenon of Serendipity (i.e., incidental learning) using a subjective knowledge representation formalism, in which several “viewpoints” are individually interpretable from a knowledge graph. We prove our own Viewpoints approach by evidencing the collective learning capacity enabled by our approach. To that effect, we build a simulation that disseminates knowledge with linked data and user contributions, similar to the way the Web is formed. Using a behavioral model configured to represent various Web navigation strategies, we seek to optimize the distribution of preference systems. Our results outline the most appropriate strategies for incidental learning, bringing us closer to understanding and modeling the processes involved in Serendipity. An implementation of the Viewpoints formalism kernel is available. The underlying Viewpoints model allows us to abstract and generalize our current proof of concept for the indexing of any type of data set. (More)

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Paper citation in several formats:
Surroca, G.; Lemoisson, P.; Jonquet, C. and Cerri, S. (2015). Preference Dissemination by Sharing Viewpoints - Simulating Serendipity.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 402-409. DOI: 10.5220/0005636204020409

@conference{keod15,
author={Guillaume Surroca. and Philippe Lemoisson. and Clément Jonquet. and Stefano Cerri.},
title={Preference Dissemination by Sharing Viewpoints - Simulating Serendipity},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},
year={2015},
pages={402-409},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005636204020409},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - Preference Dissemination by Sharing Viewpoints - Simulating Serendipity
SN - 978-989-758-158-8
AU - Surroca, G.
AU - Lemoisson, P.
AU - Jonquet, C.
AU - Cerri, S.
PY - 2015
SP - 402
EP - 409
DO - 10.5220/0005636204020409

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