A transformational view of inheritance in logic programming
Logic programming
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Logical foundations of object-oriented and frame-based languages
Journal of the ACM (JACM)
A Logic for Encapsulation in Object Oriented Languages
PLILP '94 Proceedings of the 6th International Symposium on Programming Language Implementation and Logic Programming
Well-Founded Optimism: Inheritance in Frame-Based Knowledge Bases
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Perspectives on ontology-based querying: Research Articles
International Journal of Intelligent Systems
Artificial Intelligence in Medicine
OWL that can Choose to Inherit and Hide it Too
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
Scalable ontology-based information systems
Proceedings of the 13th International Conference on Extending Database Technology
OWL rules: A proposal and prototype implementation
Web Semantics: Science, Services and Agents on the World Wide Web
A little semantic web goes a long way in biology
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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While computation of biological information takes center stage in today's research, knowledge-based query processing in biological databases has not gained much attention. The complex relationship among biological entities, and the numerous possibilities make it extremely difficult for a user to query data repositories in traditional ways since the information users seek are often not stored directly as extents. Thus, to meaningfully query such repositories, users often write complex applications to compute the needed response based on universal knowledge, or user specific hypothesis. In this paper, we propose a new data model based on object-oriented deductive databases and ontological concepts to allow knowledge-based querying. We propose a new query language called ConLog (for Concept Logic) in the direction of the acclaimed F-Logic and show that ConLog is able to express biological information and support queries in intuitive and user specific ways.