Negations and document length in logical retrieval

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摘要

An unsolved problem in logic-based information retrieval is how to obtain automatically logical representations for documents and queries. This problem limits the impact of logical models for information retrieval because their full expressive power cannot be harnessed. In this paper we propose a method for producing logical document representations which goes further than other simplistic “bag-of-words” approaches. The suggested procedure adopts popular information retrieval heuristics, such as document length corrections and global term distribution. This work includes a report of several experiments applying partial document representations in the context of a propositional model of information retrieval. The benefits of this expressive framework, powered by the new logical indexing approach, become apparent in the evaluation.

论文关键词:Information retrieval,Logic-based information retrieval

论文评审过程:Available online 28 November 2005.

论文官网地址:https://doi.org/10.1016/j.is.2005.11.001