Some ideas and examples to evaluate ontologies
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Why Evaluate Ontology Technologies? Because It Works!
IEEE Intelligent Systems
An Ontology-Driven Architecture for Flexible Workflow Execution
LA-WEBMEDIA '04 Proceedings of the WebMedia & LA-Web 2004 Joint Conference 10th Brazilian Symposium on Multimedia and the Web 2nd Latin American Web Congress
Learning from Ontologies for Common Meaningful Structures
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Extracting a domain-specific ontology from a corporate intranet
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
Semantic information integration and question answering based on pervasive agent ontology
Expert Systems with Applications: An International Journal
ERP and PDM integration technology to support collaborative product development
International Journal of Business Information Systems
Conceptual model for semantic representation of industrial manufacturing processes
Computers in Industry
OCEAN: an ontology for supporting interoperability service utilities in virtual organisations
International Journal of Networking and Virtual Organisations
Case study: The case of EAI facilitating knowledge management integration in local government domain
International Journal of Information Management: The Journal for Information Professionals
Review: Recent developments in the organization goals conformance using ontology
Expert Systems with Applications: An International Journal
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Enterprises are getting more knowledge intensive, and the integration of various types of knowledge becomes a challenge. It has been accepted that ontology is an important concept for knowledge integration. In this paper, three issues have been addressed: (i) ontology construction which includes the method and implementation of a Concept Map based ontology construction, and the evaluation of the constructed ontology; (ii) a dynamic workflow, in which an ontology-based workflow system is used to accumulate knowledge during the business process, and (iii) the rules and constraints used for knowledge representation, in which a Semantic Web Rule Language (SWRL) is used to group the rules and constraints into different classes executed by a inference engine. Two cases have been studied using the above methods and tools. Case one is an acquisition prototype for the aircraft industry. The other is for an on-going bar code management project carried out by this research team. Both cases show that the developed methods can be used for knowledge integration.