Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems

Mikhail Galkin, Sören Auer, Maria-Esther Vidal, Simon Scerri

Abstract

In enterprises, Semantic Web technologies have recently received increasing attention from both the research and industrial side. The concept of Linked Enterprise Data (LED) describes a framework to incorporate benefits of Semantic Web technologies into enterprise IT environments. However, LED still remains an abstract idea lacking a point of origin, i.e., station zero from which it comes to existence. We devise Enterprise Knowledge Graphs (EKGs) as a formal model to represent and manage corporate information at a semantic level. EKGs are presented and formally defined, as well as positioned in Enterprise Information Systems (EISs) architectures. Furthermore, according to the main features of EKGs, existing EISs are analyzed and compared using a new unified assessment framework. We conduct an evaluation study, where cluster analysis allows for identifying and visualizing groups of EISs that share the same EKG features. More importantly, we put our observed results in perspective and provide evidences that existing approaches do not implement all the EKG features, being therefore, a challenge the development of these features in the next generation of EISs.

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Paper Citation


in Harvard Style

Galkin M., Auer S., Vidal M. and Scerri S. (2017). Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-248-6, pages 88-98. DOI: 10.5220/0006325200880098


in Bibtex Style

@conference{iceis17,
author={Mikhail Galkin and Sören Auer and Maria-Esther Vidal and Simon Scerri},
title={Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2017},
pages={88-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006325200880098},
isbn={978-989-758-248-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems
SN - 978-989-758-248-6
AU - Galkin M.
AU - Auer S.
AU - Vidal M.
AU - Scerri S.
PY - 2017
SP - 88
EP - 98
DO - 10.5220/0006325200880098