When querying documents archives there is often the need to specify importance weights of the search terms that define flexible selection condi-tions on documents representation. Several interpretations of the semantics of these weights have been proposed within distinct information retrieval models. In this contribution we define a unifying model of information retrieval based on a vector p-norm, were importance weights with distinct semantics can be specified in flexible queries.

A Unifying Model of Flexible Queries with Distinct Semantics of Search Term Weights

PSAILA, Giuseppe
2014-01-01

Abstract

When querying documents archives there is often the need to specify importance weights of the search terms that define flexible selection condi-tions on documents representation. Several interpretations of the semantics of these weights have been proposed within distinct information retrieval models. In this contribution we define a unifying model of information retrieval based on a vector p-norm, were importance weights with distinct semantics can be specified in flexible queries.
book chapter - capitolo di libro
Inglese
2014
Flexible Approaches in Data, Information and Knowledge Management
Pivert, Olivier; Zadrozny, Slawomir
cartaceo
online
978-3-319-00953-7
978-3-319-00954-4
497
223
239
Germany
Berlin
Springer
esperti anonimi
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
flexible querying; soft aggregations; flexible selection conditions; importance weights; index term weights.
info:eu-repo/semantics/bookPart
none
1.2 Contributi in volume - Book chapters::1.2.01 Contributi in volume (Capitoli o Saggi) - Book Chapters/Essays
no full text
Bordogna, Gloria; Pasi, Gabriella; Psaila, Giuseppe
3
268
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/30201
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