Authors:
Milan Zdravković
1
;
Miroslav Trajanović
1
and
Hervé Panetto
2
Affiliations:
1
University of Niš, Serbia
;
2
Nancy-Université, France
Keyword(s):
Ontology, Enterprise interoperability, Supply chain management, SCOR.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Coupling and Integrating Heterogeneous Data Sources
;
Data Engineering
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Integration/Interoperability
;
Interoperability
;
Knowledge Engineering and Ontology Development
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Sensor Networks
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
;
Virtual Enterprises
Abstract:
Most of the issues of current supply chain management practices are related to the challenges of interoperability of relevant enterprise information systems (EIS). In this paper, we present the ontological framework for semantic interoperability of EISs in supply chain networks, based on Supply Chain Operations Reference (SCOR) model, its semantic enrichment and mappings with relevant enterprise conceptualizations. In order to introduce the realities of the enterprises into this framework, namely their models, we define and implement the approach to generation of local ontologies, based on the databases of their EISs. Also, we discuss on the translation between semantic and SQL queries, a process in which implicit semantics of the EIS’s databases and explicit semantics of the local ontologies become inter-related.