UnivTrevesV1, PascalFrancis, Corpus, bibRecord, 000B62

Improving document Transformation techniques with collaborative learned term-based concepts

Identifieur interne : 000B62 ( PascalFrancis/Corpus ); précédent : 000B61; suivant : 000B63

Improving document Transformation techniques with collaborative learned term-based concepts

Auteurs : Stefan Klink

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2004.

RBID : Pascal:04-0282606

Descripteurs français

Pascal (Inist)
- Traitement image, Traitement document, Interrogation base donnée, Elargissement requête.

English descriptors

KwdEn :
- Database query, Document processing, Image processing, Query expansion.

Abstract

Document Transformation techniques have been studied for decades. In this paper, a new approach for a significant improvement is presented based on using a new query expansion method. In contrast to other methods, the regarded query is expanded by adding those terms that are most similar to the concept of individual query terms, rather than selecting terms that are similar to the complete query or that are directly similar to the query terms. Experiments have shown that Document Transformation techniques are significantly improved in the retrieval effectiveness when measuring the recall-precision.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A08	`01`	`1`	`ENG`	`@1 Improving document Transformation techniques with collaborative learned term-based concepts`
A09	`01`	`1`	`ENG`	`@1 Reading and learning : adaptive content recognition`
A11	`01`	`1`		`@1 KLINK (Stefan)`
A12	`01`	`1`		`@1 DENGEL (Andreas) @9 ed.`
A12	`02`	`1`		`@1 JUNKER (Markus) @9 ed.`
A12	`03`	`1`		`@1 WEISBECKER (Anette) @9 ed.`
A14	`01`			`@1 Department of Database and Information Systems (DBIS), University of Trier @2 54286 Trier @3 DEU @Z 1 aut.`
A20				`@1 281-305`
A21				`@1 2004`
A23	`01`			`@0 ENG`
A26	`01`			`@0 3-540-21904-8`
A43	`01`			`@1 INIST @2 16343 @5 354000117872160160`
A44				`@0 0000 @1 © 2004 INIST-CNRS. All rights reserved.`
A45				`@0 39 ref.`
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A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Lecture notes in computer science`
A66	`01`			`@0 DEU`
C01	`01`		`ENG`	@0 Document Transformation techniques have been studied for decades. In this paper, a new approach for a significant improvement is presented based on using a new query expansion method. In contrast to other methods, the regarded query is expanded by adding those terms that are most similar to the concept of individual query terms, rather than selecting terms that are similar to the complete query or that are directly similar to the query terms. Experiments have shown that Document Transformation techniques are significantly improved in the retrieval effectiveness when measuring the recall-precision.
C02	`01`	`X`		`@0 001D02C03`
C03	`01`	`X`	`FRE`	`@0 Traitement image @5 01`
C03	`01`	`X`	`ENG`	`@0 Image processing @5 01`
C03	`01`	`X`	`SPA`	`@0 Procesamiento imagen @5 01`
C03	`02`	`X`	`FRE`	`@0 Traitement document @5 09`
C03	`02`	`X`	`ENG`	`@0 Document processing @5 09`
C03	`02`	`X`	`SPA`	`@0 Tratamiento documento @5 09`
C03	`03`	`X`	`FRE`	`@0 Interrogation base donnée @5 10`
C03	`03`	`X`	`ENG`	`@0 Database query @5 10`
C03	`03`	`X`	`SPA`	`@0 Interrogación base datos @5 10`
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Format Inist (serveur)

NO :	PASCAL 04-0282606 INIST
ET :	Improving document Transformation techniques with collaborative learned term-based concepts
AU :	KLINK (Stefan); DENGEL (Andreas); JUNKER (Markus); WEISBECKER (Anette)
AF :	Department of Database and Information Systems (DBIS), University of Trier/54286 Trier/Allemagne (1 aut.)
DT :	Publication en série; Niveau analytique
SO :	Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2004; Vol. 2956; Pp. 281-305; Bibl. 39 ref.
LA :	Anglais
EA :	Document Transformation techniques have been studied for decades. In this paper, a new approach for a significant improvement is presented based on using a new query expansion method. In contrast to other methods, the regarded query is expanded by adding those terms that are most similar to the concept of individual query terms, rather than selecting terms that are similar to the complete query or that are directly similar to the query terms. Experiments have shown that Document Transformation techniques are significantly improved in the retrieval effectiveness when measuring the recall-precision.
CC :	001D02C03
FD :	Traitement image; Traitement document; Interrogation base donnée; Elargissement requête
ED :	Image processing; Document processing; Database query; Query expansion
SD :	Procesamiento imagen; Tratamiento documento; Interrogación base datos; Ensanchamiento requerimiento
LO :	INIST-16343.354000117872160160
ID :	04-0282606

Links to Exploration step

Pascal:04-0282606

Le document en format XML

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Improving document Transformation techniques with collaborative learned term-based concepts

Improving document Transformation techniques with collaborative learned term-based concepts

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri