Lazy query enrichment: A method for indexing large specialized document bases with morphology and concept hierarchy

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3 Citas (Scopus)

Resumen

A full-text information retrieval system has to deal with various phenomena of string equivalence: ignore case matching, morphological inflection, derivation, synonymy, and hyponymy or hyperonymy. Technically, this can be handled either at the time of indexing by reducing equivalent strings to a common form or at the time of query processing by enriching the query with the whole set of the equivalent forms. We argue for that the latter way allows for greater flexibility and easier maintenance, while being more affordable than it is usually considered. Our proposal consists in enriching the query only with those forms that really appear in the document base. Our experiments with a thesaurus- based information retrieval system showed only insignificant increase of the query size on average with a 200-megabyte document base, even with highly inflective Spanish language.

Idioma originalInglés
Título de la publicación alojadaDatabase and Expert Systems Applications - 11th International Conference, DEXA 2000, Proceedings
EditoresMohamed Ibrahim, Josef Kung, Norman Revell
EditorialSpringer Verlag
Páginas526-535
Número de páginas10
ISBN (versión impresa)9783540679783
DOI
EstadoPublicada - 2000
Evento11th International Conference on Database and Expert Systems Applications, DEXA 2000 - London, Reino Unido
Duración: 4 sep. 20008 sep. 2000

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen1873
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia11th International Conference on Database and Expert Systems Applications, DEXA 2000
País/TerritorioReino Unido
CiudadLondon
Período4/09/008/09/00

Huella

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