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In this paper, a model for combining text and fact retrieval is described. A query is a set of conditions, where a single condition is either a text or fact condition. Fact conditions can be interpreted as being vague, thus leading to nonbinary weights for fact conditions with respect to database objects. For text conditions, we use descriptions of the occurrence of terms in documents instead of precomputed indexing weights, thus treating terms similar to attributes. Probabilistic indexingdoi:10.1145/133160.133202 dblp:conf/sigir/Fuhr92 fatcat:52vfw6znnrf4nlfpd4i7zlszru