About reformulation in full-text IRS

Information Processing & ManagementPublished 1 January 1989

Fathi Debili, Christian Fluhr, Pierre Radasoa

DOI10.1016/0306-4573(89)90098-8

Source URL

Citations14

SJR quartileQ1

SJR score2.06

SNIP2.91

TL;DR

Different kinds of reformulation used in Information Retrieval systems where full-text databases are accessed through natural language queries are analyzed and an expert system solution is proposed as a reformulation strategy manager.

Abstract

In this paper, we analyze different kinds of reformulation used in Information Retrieval systems where full-text databases are accessed through natural language queries. These reformulations are tested separately on large actual full-text databases managed by the SPIRIT system (Syntactic and Probabilistic Indexing and Retrieval of Information in Texts). Some modifications on the weighted comparison are being tested for taking reformulation into account. At the end, an expert system solution is proposed as a reformulation strategy manager.

Keywords

Computer Science

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