Logic-based approach to semantic query optimization
ACM Transactions on Database Systems (TODS)
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Journal of the ACM (JACM)
Fab: content-based, collaborative recommendation
Communications of the ACM
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Clustering user queries of a search engine
Proceedings of the 10th international conference on World Wide Web
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Proceedings of the 2002 ACM symposium on Applied computing
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
Effective Reformulation of Boolean Queries with Concept Lattices
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
More Efficient Searching in a Knowledge Portal - An Approach Based on the Analysis of Users' Queries
PAKM '02 Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management
Usage-Oriented Evolution of Ontology-Based Knowledge Management Systems
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
HLT '02 Proceedings of the second international conference on Human Language Technology Research
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)
RDFS(FA): Connecting RDF(S) and OWL DL
IEEE Transactions on Knowledge and Data Engineering
A Flexible Ontology Reasoning Architecture for the Semantic Web
IEEE Transactions on Knowledge and Data Engineering
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)
A pragmatic approach to model and exploit the semantics of product information
Journal on Data Semantics VII
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One of the main problems in the (web) information retrieval is the ambiguity of the users' queries, since the users tend to post very short queries. This seems to be valid for the ontology-based information retrieval in which the domain ontology is used as the backbone of the searching process. In this paper we present a novel approach for determining the possible refinements of an ontology-based query. The approach is based on measuring the ambiguity of a query with respect to the original user information need. We defined several types of the ambiguities concerning the structure of the underlying ontology and the content of the information repository. For each of these ambiguities we defined the set of refinements/explanations, which help in more efficient searching for information in an ontology-based information repository.