OIL: An Ontology Infrastructure for the Semantic Web
IEEE Intelligent Systems
IEEE Intelligent Systems
IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning
Reviewing the design of DAML+OIL: an ontology language for the semantic web
Eighteenth national conference on Artificial intelligence
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Modeling a description logic vocabulary for cancer research
Journal of Biomedical Informatics
The foundational model of anatomy in OWL: Experience and perspectives
Web Semantics: Science, Services and Agents on the World Wide Web
A logical framework for modularity of ontologies
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A tableaux decision procedure for SHOIQ
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Decidability of SHIQ with complex role inclusion axioms
Artificial Intelligence
Debugging unsatisfiable classes in OWL ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
Swoop: A Web Ontology Editing Browser
Web Semantics: Science, Services and Agents on the World Wide Web
FaCT++ description logic reasoner: system description
IJCAR'06 Proceedings of the Third international joint conference on Automated Reasoning
The OWL instance store: system description
CADE' 20 Proceedings of the 20th international conference on Automated Deduction
Ontology-Based Expertise Finding
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Information Processing and Management: an International Journal
International Journal of Web and Grid Services
An ontology-based approach for Product Lifecycle Management
Computers in Industry
A mereotopological product relationship description approach for assembly oriented design
Robotics and Computer-Integrated Manufacturing
Guided curation of semistructured data in collaboratively-built knowledge bases
Future Generation Computer Systems
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The goal of Semantic Web research is to transform the Web from a linked document repository into a distributed knowledge base and application platform, thus allowing the vast range of available information and services to be more effectively exploited. As a first step in this transformation, languages such as OWL have been developed; these languages are designed to capture the knowledge that will enable applications to better understand Web accessible resources, and to use them more intelligently. Although fully realising the Semantic Web still seems some way off, OWL has already been very successful, and has rapidly become a de facto standard for ontology development in fields as diverse as geography, geology, astronomy, agriculture, defence and the life sciences. An important factor in this success has been the availability of sophisticated tools with built in reasoning support. The use of OWL in large scale applications has brought with it new challenges, both with respect to expressive power and scalability, but recent research has also shown how the OWL language and OWL tools can be extended and adapted to meet these challenges.