Readability formulas: An overview
Journal of Documentation
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
AGENTS '98 Proceedings of the second international conference on Autonomous agents
intelligence
Yahoo! as an ontology: using Yahoo! categories to describe documents
Proceedings of the eighth international conference on Information and knowledge management
WISE: A World Wide Web Resource Database System
IEEE Transactions on Knowledge and Data Engineering
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
Distributed Repositories of Highly Expressive Reusable Ontologies
IEEE Intelligent Systems
Machine-Negotiated, Ontology-Based EDI (Electronic Data Interchange)
Proceedings of the Workshop at NIST on Electronic Commerce, Current Research Issues and Applications
Ontology and Metadata Creation for the Poseidon Distributed Coastal Zone Management System
ADL '99 Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries
Locating Web Information Using Web Checkpoints
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
WIRE - A WWW-Based Information Retrieval and Extraction System
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Using Metadata to Query Passive Data Sources
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
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Vast amounts of data are available on the World Wide Web. However, the extraction and use of this data is difficult, since web data does not conform to any data organization standard. Search engines provide only primitive data query capabilities, and require a detailed syntactic specification to retrieve relevant data. This research proposes a Smart Web Query (SWQ) approach for the semantic retrieval of web data. The approach uses context and domain information to specify and formulate appropriate web queries and formats to search. The SWQ approach relies on context ontologies to discover relevant web pages. Unlike traditional ontologies, SWQ ontologies are structured on a set-theoretic model, which makes them more flexible, adaptive, extensible, and rapidly deployable. An SWQ engine is being developed to test the approach.