ONTOLOGER: a system for usage-driven management of ontology-based information portals
Proceedings of the 2nd international conference on Knowledge capture
An Approach for Step-By-Step Query Refinement in the Ontology-Based Information Retrieval
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
On the query refinement in the ontology-based searching for information
Information Systems - Special issue: The 15th international conference on advanced information systems engineering (CAiSE 2003)
VisiQ: Supporting visual and interactive query refinement
Web Intelligence and Agent Systems
On the query refinement in the ontology-based searching for information
Information Systems - Special issue: The 15th international conference on advanced information systems engineering (CAiSE 2003)
Journal on data semantics X
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In this paper we present a framework for query refinement that is driven by users' information needs. Since a query just approximates a user's need, we analyze the ambiguities of that query with respect to the vocabulary used for querying and the information repository. The goal is to determine the refinements that can help the user to express his original need moreclearly. Particularly, a user is provided with the queries that are "nearby" the given query and a "compass" for determining the ways of changing the ambiguities of the query. The neighborhood of a query is defined regarding the result of that query. The formal concept analysis is used for its efficient calculation. We present an evaluation study that shows the benefits of our approach.