Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Conceptual schema and relational database design: a fact oriented approach
Conceptual schema and relational database design: a fact oriented approach
Reverse engineering of relational databases: extraction of an EER model from a relational database
Data & Knowledge Engineering
Formal Ontology in Information Systems: Proceedings of the 1st International Conference June 6-8, 1998, Trento, Italy
Model Driven Architecture: Applying MDA to Enterprise Computing
Model Driven Architecture: Applying MDA to Enterprise Computing
Ontologies for semantically interoperable systems
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Towards a classification framework for interoperability of enterprise applications
International Journal of Computer Integrated Manufacturing
Integration of industrial information systems: from syntactic to semantic integration approaches
Enterprise Information Systems
Enterprise Information Systems
An approach for formalising the supply chain operations
Enterprise Information Systems
Supply-chain transparency within industrialized construction projects
Computers in Industry
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Enterprise performance is, now more than ever, one of the key points for reaching the market success. In order to increase it, economics paradigms focus on how to better manage knowledge acquiring, sharing and update. Knowledge management can be approached with the possibility offered by the sustainability goals trying to optimise different enterprise strategic domains. The modern architecture of information systems (ISs) is based on distributed networks with a grand challenge of representing and sharing knowledge managed by ISs and consequently, to remove semantics interoperability barriers. First, this paper analyses interoperability issues between cooperative enterprise information systems (CEIS). Based on this analysis, the authors propose a conceptualisation approach for semantics discovery and management in enterprise information systems models, based on applying fact-oriented transformation rules. The input of the transformation process is a conceptualised UML class model, reverse-engineered from an implemented model, and transformed into a fact-oriented model (FOM), which makes explicit the finest-grained semantics. Semantics aggregates are then computed for structuring the whole semantics embedded in enterprise applications. They define independent set of concepts with their own minimal mandatory semantics. Finally a case study is proposed to validate the practicability of our approach in a real scaled scenario involving an enterprise resource planning (ERP) and a manufacturing execution system (MES).