@inproceedings{Fuhr:92b,
	address = {New York},
	title = {Integration of {Probabilistic} {Fact} and {Text} {Retrieval}},
	abstract = {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 indexing weights for conditions are
computed by introducing the notion of correctness (or
acceptability) of a condition w.r.t. an object. These
indexing weights are used in retrieval for a
probabilistic ranking of objects based on the
retrieval-with-probabilistic-indexing (RPI) model, for
which a new derivation is given here.},
	booktitle = {Proceedings of the {Fifteenth} {Annual} {International} {ACM} {SIGIR} {Conference} on {Research} and {Development} in {Information} {Retrieval}},
	publisher = {ACM},
	author = {Fuhr, Norbert},
	year = {1992},
	pages = {211--222},
}

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