Concept-Based Query Expansion
ExpansionTool: Concept-Based Query Expansion and construction.
Kalervo Järvelin, Jaana Kekäläinen and Timo Niemi
Department of Information Studies
University of Tampere
P.O.Box 607
FIN-33101 TAMPERE, Finland
Järvelin, K. & Kekäläinen, J. & Niemi, T. (2001). ExpansionTool: Concept-Based Query Expansion and construction. Information Retrieval 2(): submitted.
Abstract
We develop a deductive data model for concept-based query expansion. It is based on three abstraction lev els: the conceptual, linguistic and string levels. Con cepts and relationships among them are represented at the conceptual level. The linguistic level gives natural language expressions for concepts. Each ex pression has one or more matching patterns at the string level. The models specify the matching of the expression in database indices built in varying ways. The data model supports a declarative concept-based query expansion and formulation tool, the ExpansionTool, for heterogeneous IR system environ ments. Conceptual expansion is implemented by a novel intelligent operator for traversing transitive relationships among cyclic concept networks. The number of expansion links followed, their types, and weights can be used to control expansion. A sample empirical experiment illustrating the use of the ExpansionTool in IR experiments is presented.
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