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Author: Cataldo Mega

Affiliation: Department of Information, University of Stuttgart, Universitaetsstrasse 38 56075, Germany

Keyword(s): Enterprise Information Management, Information Governance, Ontology, Knowledge Graph, Cloud-Services.

Abstract: Information is a strategic asset to enterprises and subject to Information Governance (IG) as mandated by corporate and regulatory compliance. Overall governance goals are the management and control of business relevant data such to minimize legal risks and reduce operational cost. Recent surveys show that around 40% of companies have insufficient IG practices in place and are exposed to higher compliance risks. Where there exists an IG Strategy, its implementation is typically homegrown, difficult to integrate and error prone. Our investigation shows that a major impediment to implementation and interoperability is the lack of a common language. One that defines what information governance consists of in technical and operational terms. In addition, the many existing frameworks in this domain make the exploitation of the available knowledge and definition of standardized IG specific services very difficult, often leading to costly one-off implementations. A solution to this problem is the availability of a common and unambiguous domain vocabulary as a pre-requisite to a commonly accepted ontology on information governance. This paper suggests an ontology-based framework (IGONTO) that supports the creation of a knowledge store that facilitates access of domain knowledge through semantic search. (More)

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Paper citation in several formats:
Mega, C. (2023). An Ontology-based Knowledge Management Model on Information Governance. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-648-4; ISSN 2184-4992, SciTePress, pages 168-178. DOI: 10.5220/0011985000003467

@conference{iceis23,
author={Cataldo Mega.},
title={An Ontology-based Knowledge Management Model on Information Governance},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2023},
pages={168-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011985000003467},
isbn={978-989-758-648-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - An Ontology-based Knowledge Management Model on Information Governance
SN - 978-989-758-648-4
IS - 2184-4992
AU - Mega, C.
PY - 2023
SP - 168
EP - 178
DO - 10.5220/0011985000003467
PB - SciTePress