Authors:
Mikhail Galkin
1
;
Sören Auer
2
;
Maria-Esther Vidal
3
and
Simon Scerri
2
Affiliations:
1
University of Bonn & Fraunhofer IAIS and ITMO University, Germany
;
2
University of Bonn & Fraunhofer IAIS, Germany
;
3
University of Bonn & Fraunhofer IAIS and Universidad Simón Bolívar, Germany
Keyword(s):
Enterprise Information Systems, Linked Enterprise Data, Enterprise Knowledge Graphs, Semantic Web Technologies.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Coupling and Integrating Heterogeneous Data Sources
;
Data Engineering
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
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.
(More)