Ontology-based automatic query refinement
International Journal of Artificial Intelligence and Soft Computing
Ontology-based data integration and decision support for product e-Design
Robotics and Computer-Integrated Manufacturing
From keywords to semantic queries-Incremental query construction on the semantic web
Web Semantics: Science, Services and Agents on the World Wide Web
SPARK: adapting keyword query to semantic search
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Journal on data semantics X
Ontology-Based query refinement for semantic portals
From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
Expert Systems with Applications: An International Journal
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In this paper we present a logic-based approach for query refinement in ontology-based information portal. The approach enables a user to navigate through the information content incrementally and interactively. In each refinement step a user is provided with a complete but minimal set of refinements, which enables him to develop/express his information need in a step-by-step fashion. The approach is based on the model-theoretic interpretation of the refinement problem, so that the query refinement process can be considered as the process of inferring all queries which are subsumed by a given query. Moreover, query refinements are ranked according to their relevance to userýs needs, whereas these needs are on-line discovered by analysing a userýs behaviour. The approach is very suitable for modelling information retrieval tasks based on the database repositories, like searching product catalogues.