Design of a browsing interface for information retrieval
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval through hybrid navigation of lattice representations
International Journal of Human-Computer Studies
Journal of the American Society for Information Science
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Effective Reformulation of Boolean Queries with Concept Lattices
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Metadata inference for document retrieval in a distributed repository
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
Computing intensions of digital library collections
ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
Text mining scientific papers: a survey on FCA-Based information retrieval research
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
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The user of an information system rarely knows exactly what he is looking for, but once shown a piece of information he can quickly tell whether it is what he needs. Query tuning is the process of searching for the query that best approximates the information need of the user. Typically, navigation and querying are two completely separate processes, and the user usually has to switch often from one to the other–a painstaking process producing a frustrating experience. In this paper, we propose an approach to query tuning that integrates navigation and querying into a single process, thus leading to a more flexible and more user friendly method of query tuning. The proposed approach is based on formal concept analysis, and models the directory of an information source as a formal context in which the underlying concept lattice serves for navigation and the attributes of the formal context serve for query formulation. In order to support the user in coping with a possibly overwhelming number of alternative query tunings, preferences are introduced.