A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
logic-based techniques in data integration
Logic-based artificial intelligence
Ontologies for conceptual modeling: their creation, use, and management
Data & Knowledge Engineering
Information Integration: Conceptual Modeling and Reasoning Support
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
Toward semantic understanding: an approach based on information extraction ontologies
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
An architecture of diversity for commonsense reasoning
IBM Systems Journal
Method for extracting commonsense knowledge
Proceedings of the fifth international conference on Knowledge capture
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Common sense knowledge based systems are developed by researchers to enable machines to understand ordinary knowledge and reason intelligently as a human would. The knowledge repositories of such systems are usually developed manually by a knowledge engineer or by users. Building a knowledge base of common sense knowledge such as that possessed by an average human being would be a very time-consuming, if not impossible, task. Some aspects of real world knowledge have already been captured and organized into various repositories such as the World Wide Web, WordNet, and the DAML ontology library. However, the extraction and integration of common sense knowledge from those sources remains a challenge. To address this challenge, an architecture for a Common Sense Knowledge Extractor is proposed that serves as an intermediary tool to extract common sense knowledge from several knowledge sources in order to develop a common sense repository. The design of the system as an extension of prior research on intelligent query processing is presented.