Approaches to knowledge representation: an introduction
Approaches to knowledge representation: an introduction
OKBC: a programmatic foundation for knowledge base interoperability
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
The Description Logic Handbook
The Description Logic Handbook
Binding ontologies and coding systems to electronic health records and messages
Applied Ontology - Biomedical Ontology in Action
Embedding Knowledge Patterns into OWL
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Reasoning on UML class diagrams
Artificial Intelligence
RR '09 Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems
Justification oriented proofs in OWL
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
A model driven approach for building OWL DL and OWL full ontologies
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Knowledge and Information Systems
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The relationships between "ontologies", knowledge bases, and information models -- and correspondingly between OWL/Description Logics, frames and UML -- remains confusing to many developers. Understanding which to use when and developing effective hybrid systems that exploit the potential synergies requires clarifying key distinctions: between ontology, background knowledge, and information models; between axiombased and template-based systems; and between logical definitions and queries. As a step towards a more coordinated approach to knowledge-rich systems and a platform for incorporating additional technologies, we propose factoring systems into "ontology (narrow sense)", the rest of the "background knowledge base", and the "information model", with clear distinctions, mutual derivations and interfaces amongst them and clear understanding of the semantics and limitations of each.