CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
WordNet: a lexical database for English
Communications of the ACM
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
Ontology-Based Information Gathering Agents
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
A Default Extension to Description Logics for Use in an Intelligent Search Engine
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
Ontology-Based Information Gathering Agents
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
The conflict detection and resolution in knowledge merging for image annotation
Information Processing and Management: an International Journal
A knowledge-based approach for selecting information sources
Theory and Practice of Logic Programming
An ontological website models-supported search agent for web services
Expert Systems with Applications: An International Journal
Developing an ontology-supported information integration and recommendation system for scholars
Expert Systems with Applications: An International Journal
An image annotation guide agent
PRIMA'04 Proceedings of the 7th Pacific Rim international conference on Intelligent Agents and Multi-Agent Systems
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A well-known problem of World Wide Web (WWW) is that it contains ultra-large amount of information that often makes it difficult for users to find out their desired information. We propose and implement architecture of ontology-based information gathering agents. The ontology is represented by object-oriented approach with procedural attachments. The information gathering agents could carry out the search by wrapping the search engines of various kinds as their search methods and perform planning and integration of the partial information gathering results. The users also can represent their queries in terms of the shared domain ontology to reduce their conceptual gaps with agents. It shows how information gathering agents could utilize domain knowledge and integrate information gathered from disparate information resources and provide much more coherent results for the users.