1993 · 135 citations · 11 references
ComputingComputer ScienceInformation RetrievalLogicNatural Language ProcessingInformation ExtractionPredicate LogicRetrieval ModelsTerm ExtractionLogical ValidityRetrievalSemantic ContentSemantic Content ModelingTerminological Modeling
According to the logical model of Information Retrieval (IR), the task of IR can be described as the extraction, from a given document base, of those documents d that, given a query q, make the formula d ! q valid, where d and q are formulae of the chosen logic and "!" denotes the brand of logical implication formalized by the logic in question. In this paper, although essentially subscribing to this view, we propose that the logic to be chosen for this endeavour be a Terminological Logic (TL): accordingly, the IR task becomes that of singling out those documents d such that d q, where d and q are terms of the chosen TL and "" denotes subsumption between terms. We call this the terminological model of IR.
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Attributive concept descriptions with complements
Manfred Schmidt-Schauß, Gert Smolka · Artificial Intelligence · 1991 · 964 citations
A New Theoretical Framework For Information Retrieval
C. J. van Rijsbergen · ACM SIGIR Forum · 2017 · 155 citations
The Complexity of Concept Languages
Francesco M. Donini, Maurizio Lenzerini, Daniele Nardi et al. · Information and Computation · 1997 · 151 citations · Full text