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Coulon, C.-H.: ¬Die Rolle des Anpassungswissens im CBR : am Beispiel der Ausnutzung von Struktur im CBR (1996) 0.02
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Abstract

Ein wesentlicher Vorteil des CBR im Vergleich zu generativen Ansätzen ist ein geringer Bedarf an das zu formalisierende Wissen. Insbesondere ist es möglich trotz unvollständigen Anpassungswissens vollständige Lösungen zu finden. Dieser Beitrag beschreibt, wodurch sich Anpassungswissen von Regelwissen unterscheidet und wieviel Anpassungswissen man unbedingt benötigt. Die Leistungsfähigkeit eines wissensarmen CBR-Ansatzes wird am Beispiel der Anpassung toplogischer Strukturen diskutiert

Chen, Z.: ¬A conceptual model for storage and retrieval of short scientific texts (1993) 0.01

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Abstract: A conceptual model for integrating short scientific texts is described, which extends classical text storage and retrieval. A brief comparison with related approaches (such as case-based reasoning and classification-based reasoning) is also provided

Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996) 0.01

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Date: 6. 3.1997 16:22:15

Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997) 0.01

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Date: 6. 3.1997 16:22:15

Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997) 0.01

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Date: 6. 3.1997 16:22:15

Rissland, E.L.; Daniels, J.J.: ¬The synergistic application of CBR to IR (1996) 0.01
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Abstract

Discusses a hybrid approach combining case-based reasoning and information retrieval for the retrieval of full text documents. It takes as input a standard symbolic representation of a problem case and retrieves text of relevant cases from a document collection dramatically larger than the case base available to the CBR system. It works by performing a standard HYPO style analysis and uses the texts associated with important classes of cases found in this analysis to seed a modified version of INQUERY's relevance feedback mechanism in order to generate a query composed of individual terms or pairs of terms. It exteds the reach of CBR to much larger corpora, and it anbales the injection of knowledge based techniques into traditional IR. Describes the CBR-IR approach and reports on-going experiments

Footnote

Contribution to a special issue on the application of artificial intelligence to information retrieval

Mataras, R.L.D.; Plaza, E.: Case-based reasoning : an overview (1997) 0.01

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Abstract: Gives an overview of CBR with emphasis on European ctivites in the field. Identifies major open problems of CBR associated with: retrieval/selection, memory organization, matching, adaptation/evaluation, forgetting and integration with other techniques

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