Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
An Ontological Model of an Information System
IEEE Transactions on Software Engineering
Formal ontology, conceptual analysis and knowledge representation
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Using objects for systems analysis
Communications of the ACM
Xml, Web Services, and the Data Revolution
Xml, Web Services, and the Data Revolution
Building Web Services for the Microsoft .NET Platform
Building Web Services for the Microsoft .NET Platform
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
Software processes and project performance
Journal of Management Information Systems - Special section: Information technology and its organizational impact
An ontology based e-learning system using antipatterns
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
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This paper investigates ontology-based approaches for representing information semantics and in E-learning system. A general E-learning system engineering (ESE) knowledge representation scheme, called an ESE ontology model, to facilitate communication and information exchange in heterogeneous E-learning systems. The proposed approach focuses on how to support the integration of heterogeneous E-learning systems, and how to complete information autonomy allowing the individual learners to keep their own information models rather than requiring them all to adopt standardized terminology. Meanwhile, a communication model Based on SOAP and ontology, is designed for heterogeneous information systems interoperable communications. A prototype interface has been developed to validate the communication model.