Querying Documents using Content, Structure and Properties
Journal of Intelligent Information Systems
Ontology-Based Information Gathering Agents
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
The description logic handbook
The complexity of circumscription in description logic
Journal of Artificial Intelligence Research
Part-whole reasoning in an object-centered framework
Part-whole reasoning in an object-centered framework
Rational closure for defeasible description logics
JELIA'10 Proceedings of the 12th European conference on Logics in artificial intelligence
A formal framework for ontology integration based on a default extension to DDL
ICTAC'04 Proceedings of the First international conference on Theoretical Aspects of Computing
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In companies a large amount of information is maintained that is accessible via network communication tools. This makes searching for a particular piece of information a difficult task. We identified two major difficulties that are experienced using existing search engines. These difficulties are that many of the existing search engines only take syntactic information into account and therefore do not find all relevant documents, and that many of the retrieved documents do not contain relevant information. In this paper we present a search engine that tackles both of these problems. The system, Dwebic, is based on a description logic knowledge base that deals with strict taxonomic information as well as with default information. We define this description logic and introduce a new kind of inference. Dwebic has a world-wide web interface, but our approach does not depend on the world-wide web.