A deductive data model for query expansion

We present a deductive data model for concept-based query expansion. It is based on three abstraction levels: the conceptual, the expression and the occurrence level. Concepts and their relationships are represented at the conceptual level. The expression level represents natural language expressions for concepts. Each expression has one or more matching models at the occurrence level. Each model specifies the matching of the expression in database indices built in varying ways. The data model supports a concept-based query expantion and formulation tool, the ExpansionTool, for environments providing heterogeneous IR systems. Expansion is controlled by adjustable matching reliability. Published in: H.-;P. Frei, D. Harman, P. Schauble, and R. Wilkinson (eds.) Proceedings of the 19th Annual International ACM‹SIGIR Conference on Research and Development in Information Retrieval, Zurich, August 18.-22.1996, pp. 235-249. ____________________ The INQUERY retrieval system was used in part of this research. The INQUERY software was provided by the Information Retrieval Laboratory, University of Massachusetts Computer Science Department, Amherst, MA, USA. 1 ______________________________________________________________________________________________ ______________________________________________________________________________________________ A Deductive Data Model for Query Expansion

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