Logic-based approach to semantic query optimization
ACM Transactions on Database Systems (TODS)
Stratified hypermedia structures for information disclosure
The Computer Journal - Special issue on information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
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
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
Clustering user queries of a search engine
Proceedings of the 10th international conference on World Wide Web
SEAL: a framework for developing SEmantic PortALs
Proceedings of the 1st international conference on Knowledge capture
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Modern Information Retrieval
Information retrieval on the semantic web
Proceedings of the eleventh international conference on Information and knowledge management
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
Information-Need Driven Query Refinement
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
On the query refinement in the ontology-based searching for information
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
Enhancing search results of concept annotated documents
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
| Hi-index | 0.00 |
One of the main problems in the (web) information retrieval is the ambiguity of users' queries, since they tend to post very short queries which do not express their information need clearly. 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 possible refinements of an ontology-based query. The approach is based on measuring the ambiguity of a query with respect to the original user's information need. We defined several types of the ambiguities concerning the structure of the underlying ontology and the content of the information repository. These ambiguities are interpreted regarding the user's information need, which we infer from the user's behaviour in searching process. Finally, the ranked list of the potentially useful refinements of her query is provided to the user. We present a small evaluation study that shows the advantages of the proposed approach.