Multi-aspect Ontology for Interoperability in Human-machine Collective Intelligence Systems for Decision Support

Alexander Smirnov, Tatiana Levashova, Nikolay Shilov, Andrew Ponomarev

2019

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.

Paper Citation

in Harvard Style

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 (IC3K 2019) - Volume 2: KEOD; ISBN 978-989-758-382-7, SciTePress, pages 458-465. DOI: 10.5220/0008356304580465

in Bibtex Style

@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 (IC3K 2019) - Volume 2: KEOD},
year={2019},
pages={458-465},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008356304580465},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - 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
PB - SciTePress