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Authors: Alexander Smirnov ; Tatiana Levashova ; Nikolay Shilov and Andrew Ponomarev

Affiliation: St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th line, St. Petersburg, 199178 and Russia

ISBN: 978-989-758-382-7

Keyword(s): Human-machine Collective Intelligence, Semantic Interoperability, Multi-aspect Ontology, Decision Support.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Human-Machine Cooperation ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Sharing and Reuse ; Symbolic Systems

Abstract: A collective intelligence system could significantly help to improve decision making. Its advantage is that often collective decisions can be more efficient than individual ones. The paper considers the human-machine collective intelligence as shared intelligence, which is a product of the collaboration between humans and software services, their joint efforts and conformed decisions. Usually, multiple collaborators do not share a common view on the domain or problem they are working on. The paper assumes usage of multi-aspect ontologies to overcome the problem of different views thus enabling humans and intelligent software services to self-organize into a collaborative community for decision support. A methodology for development of the above multi-aspect ontologies is proposed. The major ideas behind the approach are demonstrated by an example from the smart city domain.

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Paper citation in several formats:
Smirnov, A.; Levashova, T.; Shilov, N. and Ponomarev, A. (2019). Multi-aspect Ontology for Interoperability in Human-machine Collective Intelligence Systems for Decision Support.In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-382-7, pages 458-465. DOI: 10.5220/0008356304580465

@conference{keod19,
author={Alexander Smirnov. and Tatiana Levashova. and Nikolay Shilov. and Andrew Ponomarev.},
title={Multi-aspect Ontology for Interoperability in Human-machine Collective Intelligence Systems for Decision Support},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2019},
pages={458-465},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008356304580465},
isbn={978-989-758-382-7},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Multi-aspect Ontology for Interoperability in Human-machine Collective Intelligence Systems for Decision Support
SN - 978-989-758-382-7
AU - Smirnov, A.
AU - Levashova, T.
AU - Shilov, N.
AU - Ponomarev, A.
PY - 2019
SP - 458
EP - 465
DO - 10.5220/0008356304580465

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