InforLorV4, PascalFrancis, Corpus, bibRecord, 000D61

Case-based reasoning meets information retrieval

Identifieur interne : 000D61 ( PascalFrancis/Corpus ); précédent : 000D60; suivant : 000D62

Case-based reasoning meets information retrieval

Auteurs : M. Smail ; M. Crehange

Source :

RBID : Pascal:95-0355689

Descripteurs français

Pascal (Inist)
- Recherche documentaire, Flexibilité, Modèle, Question documentaire, Typologie, Paramétrisation, Stratégie recherche, Application, Document iconographique, Banque image, Système adaptatif, Recherche développement, Prototype, Apprentissage, Traitement associé, Long terme, Court terme, CABRI-N (Case-Based Retrieval of Information- Nancy), Instanciation, Raisonnement par cas, Besoin information, Type question, Mémorisation.

English descriptors

KwdEn :
- Adaptive system, Application, Case based reasoning, Combined treatment, Document retrieval, Flexibility, Iconographic document, Image databank, Information need, Learning, Long term, Memorization, Models, Parametrization, Prototype, Query, Query type, Research and development, Search strategy, Short term, Typology.

Abstract

No single mechanism can be expected to give optimal retrieval in all cases in information retrieval (IR) in context. Many problems have been reported concerning the difficulty of making the right choices at the design stage of information retrieval systems. This paper presents a flexible model of information retrieval process together with a mechanism exploiting query typologies for instantiating the flexible model. The proposed model integrated in a single framework various alternative information retrieval primitives. This is possible thanks to attaching to every primitive strategic parameters which express different alternatives. We show how the parametized model can be combined with a Case-Based Reasoning (CBR) appraoch to incrementaly improve an information retrieval strategy.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A09	`01`	`1`	`ENG`	`@1 Intelligent multimedia information retrieval systems and management : New York NY, October 11-12, 1994`
A11	`01`	`1`		`@1 SMAIL (M.)`
A11	`02`	`1`		`@1 CREHANGE (M.)`
A14	`01`			`@1 CNRS/CRIN @2 54506 Vandœuvre-lès-Nancy @3 FRA`
A18	`01`	`1`		`@1 Centre de hautes études internationales d'informatique documentaire @3 FRA @9 patr.`
A18	`02`	`1`		`@1 Center for Advanced Study of Information Systems @3 INC @9 patr.`
A20				`@1 172-184`
A21				`@1 1994`
A23	`01`			`@0 ENG`
A25	`01`			`@1 CID @2 Paris`
A30	`01`	`1`	`FRE`	`@1 RIAO 94 : recherche d'information assistée par ordinateur. Conférence @3 New York Ny USA @4 1994-10-11`
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C03	`01`	`X`	`SPA`	`@0 Recuperación documental @5 01`
C03	`02`	`X`	`FRE`	`@0 Flexibilité @5 02`
C03	`02`	`X`	`ENG`	`@0 Flexibility @5 02`
C03	`02`	`X`	`SPA`	`@0 Flexibilidad @5 02`
C03	`03`	`X`	`FRE`	`@0 Modèle @5 03`
C03	`03`	`X`	`ENG`	`@0 Models @5 03`
C03	`03`	`X`	`SPA`	`@0 Modelo @5 03`
C03	`04`	`X`	`FRE`	`@0 Question documentaire @5 04`
C03	`04`	`X`	`ENG`	`@0 Query @5 04`
C03	`04`	`X`	`SPA`	`@0 Pregunta documental @5 04`
C03	`05`	`X`	`FRE`	`@0 Typologie @5 05`
C03	`05`	`X`	`ENG`	`@0 Typology @5 05`
C03	`05`	`X`	`SPA`	`@0 Tipología @5 05`
C03	`06`	`X`	`FRE`	`@0 Paramétrisation @5 06`
C03	`06`	`X`	`ENG`	`@0 Parametrization @5 06`
C03	`06`	`X`	`SPA`	`@0 Parametrización @5 06`
C03	`07`	`X`	`FRE`	`@0 Stratégie recherche @5 07`
C03	`07`	`X`	`ENG`	`@0 Search strategy @5 07`
C03	`07`	`X`	`SPA`	`@0 Estrategia investigación @5 07`
C03	`08`	`X`	`FRE`	`@0 Application @5 08`
C03	`08`	`X`	`ENG`	`@0 Application @5 08`
C03	`08`	`X`	`GER`	`@0 Anwendung @5 08`
C03	`08`	`X`	`SPA`	`@0 Aplicación @5 08`
C03	`09`	`X`	`FRE`	`@0 Document iconographique @5 09`
C03	`09`	`X`	`ENG`	`@0 Iconographic document @5 09`
C03	`09`	`X`	`SPA`	`@0 Documento iconográfico @5 09`
C03	`10`	`X`	`FRE`	`@0 Banque image @5 10`
C03	`10`	`X`	`ENG`	`@0 Image databank @5 10`
C03	`10`	`X`	`SPA`	`@0 Banco imagen @5 10`
C03	`11`	`X`	`FRE`	`@0 Système adaptatif @5 11`
C03	`11`	`X`	`ENG`	`@0 Adaptive system @5 11`
C03	`11`	`X`	`SPA`	`@0 Sistema adaptativo @5 11`
C03	`12`	`X`	`FRE`	`@0 Recherche développement @5 13`
C03	`12`	`X`	`ENG`	`@0 Research and development @5 13`
C03	`12`	`X`	`SPA`	`@0 Investigación desarrollo @5 13`
C03	`13`	`X`	`FRE`	`@0 Prototype @5 14`
C03	`13`	`X`	`ENG`	`@0 Prototype @5 14`
C03	`13`	`X`	`GER`	`@0 Prototyp @5 14`
C03	`13`	`X`	`SPA`	`@0 Prototipo @5 14`
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C03	`15`	`X`	`FRE`	`@0 Traitement associé @5 16`
C03	`15`	`X`	`ENG`	`@0 Combined treatment @5 16`
C03	`15`	`X`	`SPA`	`@0 Tratamiento asociado @5 16`
C03	`16`	`X`	`FRE`	`@0 Long terme @5 20`
C03	`16`	`X`	`ENG`	`@0 Long term @5 20`
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C03	`17`	`X`	`FRE`	`@0 Court terme @5 21`
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C03	`18`	`X`	`FRE`	`@0 CABRI-N (Case-Based Retrieval of Information- Nancy) @2 SI @4 INC @5 27`
C03	`19`	`X`	`FRE`	`@0 Instanciation @4 INC @5 28`
C03	`20`	`X`	`FRE`	`@0 Raisonnement par cas @4 CD @5 96`
C03	`20`	`X`	`ENG`	`@0 Case based reasoning @4 CD @5 96`
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C03	`22`	`X`	`FRE`	`@0 Type question @4 CD @5 98`
C03	`22`	`X`	`ENG`	`@0 Query type @4 CD @5 98`
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C07	`01`	`X`	`FRE`	`@0 Intelligence artificielle @5 12`
C07	`01`	`X`	`ENG`	`@0 Artificial intelligence @5 12`
C07	`01`	`X`	`SPA`	`@0 Inteligencia artificial @5 12`
C07	`02`	`X`	`FRE`	`@0 Relation homme machine @5 17`
C07	`02`	`X`	`ENG`	`@0 Man machine relation @5 17`
C07	`02`	`X`	`SPA`	`@0 Relación hombre máquina @5 17`
C07	`03`	`X`	`FRE`	`@0 Informatique documentaire @5 18`
C07	`03`	`X`	`ENG`	`@0 Documentation data processing @5 18`
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N21				`@1 199`

Format Inist (serveur)

NO :	PASCAL 95-0355689 INIST
ET :	Case-based reasoning meets information retrieval
AU :	SMAIL (M.); CREHANGE (M.)
AF :	CNRS/CRIN/54506 Vandœuvre-lès-Nancy/France
DT :	Congrès; Niveau analytique
SO :	RIAO 94 : recherche d'information assistée par ordinateur. Conférence/1994-10-11/New York Ny USA; France; Paris: CID; Da. 1994; Pp. 172-184
LA :	Anglais
EA :	No single mechanism can be expected to give optimal retrieval in all cases in information retrieval (IR) in context. Many problems have been reported concerning the difficulty of making the right choices at the design stage of information retrieval systems. This paper presents a flexible model of information retrieval process together with a mechanism exploiting query typologies for instantiating the flexible model. The proposed model integrated in a single framework various alternative information retrieval primitives. This is possible thanks to attaching to every primitive strategic parameters which express different alternatives. We show how the parametized model can be combined with a Case-Based Reasoning (CBR) appraoch to incrementaly improve an information retrieval strategy.
CC :	001A01F03; 205
FD :	Recherche documentaire; Flexibilité; Modèle; Question documentaire; Typologie; Paramétrisation; Stratégie recherche; Application; Document iconographique; Banque image; Système adaptatif; Recherche développement; Prototype; Apprentissage; Traitement associé; Long terme; Court terme; CABRI-N (Case-Based Retrieval of Information- Nancy); Instanciation; Raisonnement par cas; Besoin information; Type question; Mémorisation
FG :	Intelligence artificielle; Relation homme machine; Informatique documentaire
ED :	Document retrieval; Flexibility; Models; Query; Typology; Parametrization; Search strategy; Application; Iconographic document; Image databank; Adaptive system; Research and development; Prototype; Learning; Combined treatment; Long term; Short term; Case based reasoning; Information need; Query type; Memorization
EG :	Artificial intelligence; Man machine relation; Documentation data processing
GD :	Anwendung; Prototyp
SD :	Recuperación documental; Flexibilidad; Modelo; Pregunta documental; Tipología; Parametrización; Estrategia investigación; Aplicación; Documento iconográfico; Banco imagen; Sistema adaptativo; Investigación desarrollo; Prototipo; Aprendizaje; Tratamiento asociado; Largo plazo; Corto plazo
LO :	INIST-Y 30633.354000042659560140
ID :	95-0355689

Links to Exploration step

Pascal:95-0355689

Le document en format XML

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</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Prototipo</s0>
<s5>14</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE"><s0>Apprentissage</s0>
<s5>15</s5>
</fC03>
<fC03 i1="14" i2="X" l="ENG"><s0>Learning</s0>
<s5>15</s5>
</fC03>
<fC03 i1="14" i2="X" l="SPA"><s0>Aprendizaje</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Traitement associé</s0>
<s5>16</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Combined treatment</s0>
<s5>16</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Tratamiento asociado</s0>
<s5>16</s5>
</fC03>
<fC03 i1="16" i2="X" l="FRE"><s0>Long terme</s0>
<s5>20</s5>
</fC03>
<fC03 i1="16" i2="X" l="ENG"><s0>Long term</s0>
<s5>20</s5>
</fC03>
<fC03 i1="16" i2="X" l="SPA"><s0>Largo plazo</s0>
<s5>20</s5>
</fC03>
<fC03 i1="17" i2="X" l="FRE"><s0>Court terme</s0>
<s5>21</s5>
</fC03>
<fC03 i1="17" i2="X" l="ENG"><s0>Short term</s0>
<s5>21</s5>
</fC03>
<fC03 i1="17" i2="X" l="SPA"><s0>Corto plazo</s0>
<s5>21</s5>
</fC03>
<fC03 i1="18" i2="X" l="FRE"><s0>CABRI-N (Case-Based Retrieval of Information- Nancy)</s0>
<s2>SI</s2>
<s4>INC</s4>
<s5>27</s5>
</fC03>
<fC03 i1="19" i2="X" l="FRE"><s0>Instanciation</s0>
<s4>INC</s4>
<s5>28</s5>
</fC03>
<fC03 i1="20" i2="X" l="FRE"><s0>Raisonnement par cas</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="20" i2="X" l="ENG"><s0>Case based reasoning</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="21" i2="X" l="FRE"><s0>Besoin information</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="21" i2="X" l="ENG"><s0>Information need</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="22" i2="X" l="FRE"><s0>Type question</s0>
<s4>CD</s4>
<s5>98</s5>
</fC03>
<fC03 i1="22" i2="X" l="ENG"><s0>Query type</s0>
<s4>CD</s4>
<s5>98</s5>
</fC03>
<fC03 i1="23" i2="X" l="FRE"><s0>Mémorisation</s0>
<s4>CD</s4>
<s5>99</s5>
</fC03>
<fC03 i1="23" i2="X" l="ENG"><s0>Memorization</s0>
<s4>CD</s4>
<s5>99</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Intelligence artificielle</s0>
<s5>12</s5>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Artificial intelligence</s0>
<s5>12</s5>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Inteligencia artificial</s0>
<s5>12</s5>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Relation homme machine</s0>
<s5>17</s5>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Man machine relation</s0>
<s5>17</s5>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Relación hombre máquina</s0>
<s5>17</s5>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Informatique documentaire</s0>
<s5>18</s5>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Documentation data processing</s0>
<s5>18</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Información documental</s0>
<s5>18</s5>
</fC07>
<fN21><s1>199</s1>
</fN21>
</pA>
</standard>
<server><NO>PASCAL 95-0355689 INIST</NO>
<ET>Case-based reasoning meets information retrieval</ET>
<AU>SMAIL (M.); CREHANGE (M.)</AU>
<AF>CNRS/CRIN/54506 Vandœuvre-lès-Nancy/France</AF>
<DT>Congrès; Niveau analytique</DT>
<SO>RIAO 94 : recherche d'information assistée par ordinateur. Conférence/1994-10-11/New York Ny USA; France; Paris: CID; Da. 1994; Pp. 172-184</SO>
<LA>Anglais</LA>
<EA>No single mechanism can be expected to give optimal retrieval in all cases in information retrieval (IR) in context. Many problems have been reported concerning the difficulty of making the right choices at the design stage of information retrieval systems. This paper presents a flexible model of information retrieval process together with a mechanism exploiting query typologies for instantiating the flexible model. The proposed model integrated in a single framework various alternative information retrieval primitives. This is possible thanks to attaching to every primitive strategic parameters which express different alternatives. We show how the parametized model can be combined with a Case-Based Reasoning (CBR) appraoch to incrementaly improve an information retrieval strategy.</EA>
<CC>001A01F03; 205</CC>
<FD>Recherche documentaire; Flexibilité; Modèle; Question documentaire; Typologie; Paramétrisation; Stratégie recherche; Application; Document iconographique; Banque image; Système adaptatif; Recherche développement; Prototype; Apprentissage; Traitement associé; Long terme; Court terme; CABRI-N (Case-Based Retrieval of Information- Nancy); Instanciation; Raisonnement par cas; Besoin information; Type question; Mémorisation</FD>
<FG>Intelligence artificielle; Relation homme machine; Informatique documentaire</FG>
<ED>Document retrieval; Flexibility; Models; Query; Typology; Parametrization; Search strategy; Application; Iconographic document; Image databank; Adaptive system; Research and development; Prototype; Learning; Combined treatment; Long term; Short term; Case based reasoning; Information need; Query type; Memorization</ED>
<EG>Artificial intelligence; Man machine relation; Documentation data processing</EG>
<GD>Anwendung; Prototyp</GD>
<SD>Recuperación documental; Flexibilidad; Modelo; Pregunta documental; Tipología; Parametrización; Estrategia investigación; Aplicación; Documento iconográfico; Banco imagen; Sistema adaptativo; Investigación desarrollo; Prototipo; Aprendizaje; Tratamiento asociado; Largo plazo; Corto plazo</SD>
<LO>INIST-Y 30633.354000042659560140</LO>
<ID>95-0355689</ID>
</server>
</inist>
</record>

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Case-based reasoning meets information retrieval

Case-based reasoning meets information retrieval

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