A conversation with Marvin Minsky about agents
Communications of the ACM
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Automated abstraction of class diagrams
ACM Transactions on Software Engineering and Methodology (TOSEM)
IEEE Transactions on Knowledge and Data Engineering
Toward semantic understanding: an approach based on information extraction ontologies
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Web ontology segmentation: analysis, classification and use
Proceedings of the 15th international conference on World Wide Web
ACM Transactions on Database Systems (TODS)
Searching for common sense: populating Cyc™ from the web
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Ontology construction for semantic web: a role-based collaborative development method
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
A method for pruning ontologies in the development of conceptual schemas of information systems
Journal on Data Semantics V
Using semantic knowledge to improve web query processing
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
A commonsense knowledge base supported multi-agent architecture
Expert Systems with Applications: An International Journal
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Repositories of knowledge about the real world and how it functions are needed to advance research in intelligent, knowledge-intensive systems. The repositories are intended to serve as surrogates for the meaning and context of terms and concepts. These are being developed at two levels: 1) individual domain ontologies that capture concepts about a particular application domain, and 2) upper level ontologies that contain massive amounts of knowledge about the real world and are domain independent. This paper analyzes ResearchCyc, which is a version of the most extensive base of common sense knowledge, the upper level ontology, Cyc. It does so to summarize the current state of the art in upper level ontology development in order to suggest areas for future research. The paper also describes various problems encountered in applying ResearchCyc to web query processing.