-
Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009)
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- Abstract
- Klassifikation von bibliografischen Einheiten ist für einen systematischen Zugang zu den Beständen einer Bibliothek und deren Aufstellung unumgänglich. Bislang wurde diese Aufgabe von Fachexperten manuell erledigt, sei es individuell nach einer selbst entwickelten Systematik oder kooperativ nach einer gemeinsamen Systematik. In dieser Arbeit wird ein Verfahren zur Automatisierung des Klassifikationsvorgangs vorgestellt. Dabei kommt das Verfahren des fallbasierten Schließens zum Einsatz, das im Kontext der Forschung zur künstlichen Intelligenz entwickelt wurde. Das Verfahren liefert für jedes Werk, für das bibliografische Daten vorliegen, eine oder mehrere mögliche Klassifikationen. In Experimenten werden die Ergebnisse der automatischen Klassifikation mit der durch Fachexperten verglichen. Diese Experimente belegen die hohe Qualität der automatischen Klassifikation und dass das Verfahren geeignet ist, Fachexperten bei der Klassifikationsarbeit signifikant zu entlasten. Auch die nahezu vollständige Resystematisierung eines Bibliothekskataloges ist - mit gewissen Abstrichen - möglich.
- Date
- 22. 8.2009 19:51:28
-
Coulon, C.-H.: ¬Die Rolle des Anpassungswissens im CBR : am Beispiel der Ausnutzung von Struktur im CBR (1996)
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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
-
Sauer, C.S.: Analyse von Webcommunities und Extraktion von Wissen aus Communitydaten für Case-Based Reasoning Systeme (2010)
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- Abstract
- Die vorliegende Arbeit befasst sich mit den Möglichkeiten der Informationsextraktion aus den Daten von Webcommunities und der Verwendung der extrahierten Informationen in Case-Based Reasoning- (CBR) Systemen. Im Rahmen der Arbeit wird auf die Entwicklung der Webcommunities im Zeitraum der letzten 30 Jahre eingegangen. Es wird eine Klassifikation der derzeitig anzutreffenden Webcommunities in verschiedene Kategorien von Webcommunities vorgenommen. Diese Klassifikation erfolgt hinsichtlich der Struktur, der technischen Mittel sowie der Interessen der Nutzer dieser Webcommunities. Aufbauend auf die vorgenommene Klassifikation von Webcommunities erfolgt eine Untersuchung der Eignung dieser Kategorien von Webcommunities zur Informationsextraktion im Kontext der Verwendung der extrahierten Informationen in CBR-Systemen. Im selben Kontext werden verschiedene Ansätze und Techniken der Informationsextraktion auf ihre Eignung zur Extraktion von Wissen speziell für die Wissenscontainer von CBR -Systeme geprüft. Aufbauend auf den dadurch gewonnenen Erkenntnissen wird, angelehnt an den Prozess der Knowledge Discovery in Databases, ein eigenes Prozessmodell der Wissensextraktion aus Webcommunities für CBR-Systeme entworfen. Im Zuge der näheren Betrachtung dieses Prozessmodells wird auf verschiedene, durch die beabsichtigte Verwendung der extrahierten Informationen in den vier Wissenscontainern des CBR bedingte, Anforderungen an NLP- sowie IE-Techniken, die zur Extraktion dieser Daten verwendet werden, eingegangen. Die in den theoretischen Betrachtungen erlangten Erkenntnisse werden dann dazu eingesetzt, eine Anwendung zur Informationsextraktion aus einer Webcommunity für ein CBR-System, in Form der Knowledge Extraction Workbench zu implementieren. Diese IEAnwendung arbeitet im Kontext des auf der SEASALT-Architektur aufbauenden Projektes docQuery. Die Realisierung dieser IE-Anwendung wird dokumentiert sowie die Extraktionsergebnisse der Anwendung hinsichtlich ihres Umfanges und ihrer Qualität evaluiert.
-
Akerele, O.; David, A.; Osofisan, A.: Using the concepts of Case Based Reasoning and Basic Categories for enhancing adaptation to the user's level of knowledge in Decision Support System (2014)
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- Abstract
- In most search systems, mapping queries with documents employs techniques such as vector space model, naïve Bayes, Bayesian theorem etc. to classify resulting documents. In this research studies, we are proposing the use of the concept of basic categories to representing the user's level of knowledge based on the concepts he employed during his search activities, so that the system could propose adapted results based on the observed user's level of knowledge. Our hypothesis is that this approach will enhance the decision support system for solving decisional problems in which information retrieval constitutes the backbone technical problem.
- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle : 4. Tagung der deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Trier, 17.-20. Oktober 1995 (1996)
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- Abstract
- Enthält die Beiträge: CZAP, H.: Einführung in die Wissensorganisation und Case-Based Reasoning (CBR); ALTHOFF, K.-D., R. TRAPHÖNER u. S. WESS: Efficient integration on induction and Case-Base Reasoning: the INRECA System; SCHIEMANN, I. u. A. WOLTERING: Fallspeicherorganisation in der CBR-Shell Janus; COULON, C.-H.: Die Rolle des Anpassungswissens im CBR (Am Beispiel der Ausnutzung von Struktur im CBR); SCHAAF, J.W.: Fischen und Versenken: ein anytime-Algorithmus zur Suche nach situationsgerechten Fällen; JAENECKE, P.: Erkenntnistheoretische Untersuchungen über fallbezogenes Schlußfolgern; LÖCKENHOFF, H.: Cabse-Based Teaching/Learning for issue orientation and control; BIES, W.: 'Denken in Bildern': zu den Metaphern der Wissensorganisation; PRIBBENOW, S.: Räumliches Wissen: zur Interaktion von Logik und Bildern; STOLLE, M. u. V. KIRCHBERG: Mental maps in der Stadtforschung: Grundlage und Perspektiven; BAYER, H. u. R. BAUEREISS: Der Familienatlas als sozialräumliche Information; HARDT, F., G. TASSOUKIS u. H.P. OHLY: Räumliche Hintergrundinformation in bibliographischen Datenbanken; SALENTIN, K.: Geodemographische Ansätze beim Sampling im Direktmarketingverfahren; PIERAU, K., G. NARWELEIT u. H. THÜMMLER: Entwicklung eines Geographisch-Historischen Informationssystems; LENSKI, W. u. E. WETTE-ROCH: Terminologie und Wissensrepräsentation in pragmatischer Sichtweise; FUGMANN, R.: Die Entlineaririserung und Strukturierung von Texten zur Inhaltserschließung und Wissensrepräsentation; LORENZ, B.: Überlegungen zur Verbundklassifikation; NACKE, O.: Ein einfaches Verfahren zur Analyse großer Wissensmengen; BOL, G., E. HOTZ u. T. STÜTZLE: Neuronale Netze zur Klassifikation von Fehlrern in der statistischen Prozeßregulierung
-
Pfeffer, M.: Automatische Vergabe von RVK-Notationen anhand von bibliografischen Daten mittels fallbasiertem Schließen (2007)
0.01
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- Abstract
- Klassifikation von bibliografischen Einheiten ist für einen systematischen Zugang zu den Beständen einer Bibliothek und deren Aufstellung unumgänglich. Bislang wurde diese Aufgabe von Fachexperten manuell erledigt, sei es individuell nach einer selbst entwickelten Systematik oder kooperativ nach einer gemeinsamen Systematik. In dieser Arbeit wird ein Verfahren zur Automatisierung des Klassifikationsvorgangs vorgestellt. Dabei kommt das Verfahren des fallbasierten Schließens zum Einsatz, das im Kontext der Forschung zur künstlichen Intelligenz entwickelt wurde. Das Verfahren liefert für jedes Werk, für das bibliografische Daten vorliegen, eine oder mehrere mögliche Klassifikationen. In Experimenten werden die Ergebnisse der automatischen Klassifikation mit der durch Fachexperten verglichen. Diese Experimente belegen die hohe Qualität der automatischen Klassifikation und dass das Verfahren geeignet ist, Fachexperten bei der Klassifikationsarbeit signifikant zu entlasten. Auch die nahezu vollständige Resystematisierung eines Bibliothekskataloges ist - mit gewissen Abstrichen - möglich.
- Content
- Masterarbeit im Rahmen des postgradualen Fernstudiums Master of Arts (Library and Information Science)
-
Chen, Z.: ¬A conceptual model for storage and retrieval of short scientific texts (1993)
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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
-
Kolodner, J.: Case-based reasoning (1993)
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- Content
- Pt.1: Background: waht is CBR? Case studies of several case-based reasoners. Reasoning using cases. The cognitive model. Pt.2: The case library: representing and indexing cases. Indexing vocabulary. Methods for index selection. Pt.3: Retrieving cases from the case library. Organizational structures and retrieval algorithms. Matching and ranking cases. Indexing and retrieval. Pt.4: Using cases. Adaptation methods and strategies. Controlling adaptation. Using cases for interpretation and evaluation. Pt.5: Pulling it all together. Building a case-based reasoner. Conclusions, opportunities, challenges. Appendix: A case library of case-based reasoning systems
-
Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996)
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- Date
- 6. 3.1997 16:22:15
-
Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997)
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- Date
- 6. 3.1997 16:22:15
-
Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997)
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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)
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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)
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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
-
Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014)
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- Pages
- S.22-29
-
He, W.; Erdelez, S.; Wang, F.-K.; Shyu, C.-R.: ¬The effects of conceptual description and search practice on users' mental models and information seeking in a case-based reasoning retrieval system (2008)
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- Abstract
- This paper reportes a study that investigated the effects of conceptual description and search practice on users' mental models and information seeking in a case-based reasoning retrieval (CBR) system with a best match search mechanism. This study also found examined how the presence of a mental model affects the users' search performance and satisfaction in this system. The results of this study revealed that the conceptual description and search practice treatments do not have significantly different effects on the types of user's mental models, search correctness, and search satisfaction. However, the search practice group spent significantly less time than the conceptual description group in finding the results. Qualitative analysis for the subjects' post mental models revealed that subjects in the conceptual description group seem to have more complete mental models of the best match system than those in the search practice group. This study also that subjects with the best match mental models have significantly higher search correctness and search result satisfaction than subjects without the best match mental models. However, the best match mental models do not guarantee less search time in finding the results. This study did not find a significant correlation among search time, search correctness and search satisfaction. The study concludes with suggestions for future research and implications for system developers who are interested in CBR retrieval systems.
-
He, W.; Tian, X.: ¬A longitudinal study of user queries and browsing requests in a case-based reasoning retrieval system (2017)
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