Search (25 results, page 1 of 2)

  • × author_ss:"Fuhr, N."
  1. Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988) 0.02
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    Date
    16. 8.1998 12:51:22
    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.513-517.
    Source
    Proceedings of the 11th annual conference on research and development in information retrieval. Ed.: Y. Chiaramella
  2. Fuhr, N.: Konzepte zur Gestaltung zukünftiger Information-Retrieval-Systeme (1992) 0.01
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    Source
    Experimentelles und praktisches Information Retrieval: Festschrift für Gerhard Lustig. Hrsg. R. Kuhlen
  3. Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004) 0.01
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    Abstract
    The digital library system Daffodil is targeted at strategic support of users during the information search process. For searching, exploring and managing digital library objects it provides user-customisable information seeking patterns over a federation of heterogeneous digital libraries. In this paper evaluation results with respect to retrieval effectiveness, efficiency and user satisfaction are presented. The analysis focuses on strategic support for the scientific work-flow. Daffodil supports the whole work-flow, from data source selection over information seeking to the representation, organisation and reuse of information. By embedding high level search functionality into the scientific work-flow, the user experiences better strategic system support due to a more systematic work process. These ideas have been implemented in Daffodil followed by a qualitative evaluation. The evaluation has been conducted with 28 participants, ranging from information seeking novices to experts. The results are promising, as they support the chosen model.
    Date
    16.11.2008 16:22:48
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  4. Fuhr, N.: Hypertext und Information-Retrieval (1990) 0.01
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  5. Fuhr, N.; Knorz, G.: Retrieval test evaluation of a rule based automatic indexing (AIR/PHYS) (1984) 0.01
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    Source
    Research and development in information retrieval. Proc. of the 3rd joint BCS and ACM symp., Cambridge, 2.-6.7.1984. Ed.: C.J. van Rijsbergen
  6. Fuhr, N.: Towards data abstraction in networked information retrieval systems (1999) 0.01
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    Source
    Information processing and management. 35(1999) no.2, S.101-119
  7. Fuhr, N.: von theoretischen Konzepten zur praktischen Anwendung : Hypertext und Information Retrieval (1990) 0.01
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  8. Fuhr, N.: Probabilistic datalog : implementing logical information retrieval for advanced applications (2000) 0.01
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    Abstract
    In the logical approach to information retrieval, retrieval is considered as uncertain inference. Whereas classical IR models are based on propositional logic, we combine Datalog (function-free Horn clause predicate logic) with probability theory. Therefore, probabilistic weights may be attached to both facts and rules. The underlying semantics extends the well-founded semantics of modularly stratified Datalog to a possible worlds semantics
    Source
    Journal of the American Society for Information Science. 51(2000) no.2, S.95-110
  9. Fuhr, N.: Modelle im Information Retrieval (2013) 0.01
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    Source
    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
  10. Kazai, G.; Lalmas, M.; Fuhr, N.; Gövert, N.: ¬A report an the first year of the INitiative for the Evaluation of XML Retrieval (INEX'02) (2004) 0.01
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    Abstract
    The INitiative for the Evaluation of XML retrieval (INEX) aims at providing an infrastructure to evaluate the effectiveness of content-oriented XML retrieval systems. To this end, in the first round of INEX in 2002, a test collection of real world XML documents along with a set of topics and respective relevance assessments have been created with the collaboration of 36 participating organizations. In this article, we provide an overview of the first round of the INEX initiative.
    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.6, S.551-556
  11. Fuhr, N.: Zur Überwindung der Diskrepanz zwischen Retrievalforschung und -praxis (1990) 0.01
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    Abstract
    In diesem Beitrag werden einige Forschungsergebnisse des Information Retrieval vorgestellt, die unmittelbar zur Verbesserung der Retrievalqualität für bereits existierende Datenbanken eingesetzt werden können: Linguistische Algorithmen zur Grund- und Stammformreduktion unterstützen die Suche nach Flexions- und Derivationsformen von Suchtermen. Rankingalgorithmen, die Frage- und Dokumentterme gewichten, führen zu signifikant besseren Retrievalergebnissen als beim Booleschen Retrieval. Durch Relevance Feedback können die Retrievalqualität weiter gesteigert und außerdem der Benutzer bei der sukzessiven Modifikation seiner Frageformulierung unterstützt werden. Es wird eine benutzerfreundliche Bedienungsoberfläche für ein System vorgestellt, das auf diesen Konzepten basiert.
  12. Pfeifer, U.; Poersch, T.; Fuhr, N.: Retrieval effectiveness of proper name search methods (1996) 0.01
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    Abstract
    Reviews similarity measures for searching names. These measures deal with phonetic similarity, typing errors, and plain string similarity. Shows experimentally that all 3 approaches lead to significantly higher retrieval quality than plain identity. Further improvements are possible by combining different methods. Develops a probabilistic interpretation of string similarity that leads to better results than an ad-hoc approach
    Source
    Information processing and management. 32(1996) no.6, S.667-679
  13. Fuhr, N.: Theorie des Information Retrieval I : Modelle (2004) 0.00
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    Abstract
    Information-Retrieval-(IR-)Modelle spezifizieren, wie zur einer gegebenen Anfrage die Antwortdokumente aus einer Dokumentenkollektion bestimmt werden. Dabei macht jedes Modell bestimmte Annahmen über die Struktur von Dokumenten und Anfragen und definiert dann die so genannte Retrievalfunktion, die das Retrievalgewicht eines Dokumentes bezüglich einer Anfrage bestimmt - im Falle des Booleschen Retrieval etwa eines der Gewichte 0 oder 1. Die Dokumente werden dann nach fallenden Gewichten sortiert und dem Benutzer präsentiert. Zunächst sollen hier einige grundlegende Charakteristika von Retrievalmodellen beschrieben werden, bevor auf die einzelnen Modelle näher eingegangen wird. Wie eingangs erwähnt, macht jedes Modell Annahmen über die Struktur von Dokumenten und Fragen. Ein Dokument kann entweder als Menge oder Multimenge von so genannten Termen aufgefasst werden, wobei im zweiten Fall das Mehrfachvorkommen berücksichtigt wird. Dabei subsummiert 'Term' einen Suchbegriff, der ein einzelnes Wort, ein mehrgliedriger Begriff oder auch ein komplexes Freitextmuster sein kann. Diese Dokumentrepräsentation wird wiederum auf eine so genannte Dokumentbeschreibung abgebildet, in der die einzelnen Terme gewichtet sein können; dies ist Aufgabe der in Kapitel B 5 beschriebenen Indexierungsmodelle. Im Folgenden unterscheiden wir nur zwischen ungewichteter (Gewicht eines Terms ist entweder 0 oderl) und gewichteter Indexierung (das Gewicht ist eine nichtnegative reelle Zahl). Ebenso wie bei Dokumenten können auch die Terme in der Frage entweder ungewichtet oder gewichtet sein. Daneben unterscheidet man zwischen linearen (Frage als Menge von Termen, ungewichtet oder gewichtet) und Booleschen Anfragen.
    Source
    Grundlagen der praktischen Information und Dokumentation. 5., völlig neu gefaßte Ausgabe. 2 Bde. Hrsg. von R. Kuhlen, Th. Seeger u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried. Bd.1: Handbuch zur Einführung in die Informationswissenschaft und -praxis
  14. Fuhr, N.: Modelle im Information Retrieval (2023) 0.00
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    Abstract
    Information-Retrieval-Modelle -(IR-Modelle) spezifizieren, wie zu einer gegebenen Anfrage die Antwortdokumente aus einer Dokumentenkollektion bestimmt werden. Ausgangsbasis jedes Modells sind dabei zunächst bestimmte Annahmen über die Wissensrepräsentation (s. Teil B Methoden und Systeme der Inhaltserschließung) von Fragen und Dokumenten. Hier bezeichnen wir die Elemente dieser Repräsentationen als Terme, wobei es aus der Sicht des Modells egal ist, wie diese Terme aus dem Dokument (und analog aus der von Benutzenden eingegebenen Anfrage) abgeleitet werden: Bei Texten werden hierzu häufig computerlinguistische Methoden eingesetzt, aber auch komplexere automatische oder manuelle Erschließungsverfahren können zur Anwendung kommen. Repräsentationen besitzen ferner eine bestimmte Struktur. Ein Dokument wird meist als Menge oder Multimenge von Termen aufgefasst, wobei im zweiten Fall das Mehrfachvorkommen berücksichtigt wird. Diese Dokumentrepräsentation wird wiederum auf eine sogenannte Dokumentbeschreibung abgebildet, in der die einzelnen Terme gewichtet sein können. Im Folgenden unterscheiden wir nur zwischen ungewichteter (Gewicht eines Terms ist entweder 0 oder 1) und gewichteter Indexierung (das Gewicht ist eine nichtnegative reelle Zahl). Analog dazu gibt es eine Fragerepräsentation; legt man eine natürlichsprachige Anfrage zugrunde, so kann man die o. g. Verfahren für Dokumenttexte anwenden. Alternativ werden auch grafische oder formale Anfragesprachen verwendet, wobei aus Sicht der Modelle insbesondere deren logische Struktur (etwa beim Booleschen Retrieval) relevant ist. Die Fragerepräsentation wird dann in eine Fragebeschreibung überführt.
  15. Fuhr, N.: Probabilistisches Indexing and Retrieval (1988) 0.00
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  16. Schaefer, A.; Jordan, M.; Klas, C.-P.; Fuhr, N.: Active support for query formulation in virtual digital libraries : a case study with DAFFODIL (2005) 0.00
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    Abstract
    Daffodil is a front-end to federated, heterogeneous digital libraries targeting at strategic support of users during the information seeking process. This is done by offering a variety of functions for searching, exploring and managing digital library objects. However, the distributed search increases response time and the conceptual model of the underlying search processes is inherently weaker. This makes query formulation harder and the resulting waiting times can be frustrating. In this paper, we investigate the concept of proactive support during the user's query formulation. For improving user efficiency and satisfaction, we implemented annotations, proactive support and error markers on the query form itself. These functions decrease the probability for syntactical or semantical errors in queries. Furthermore, the user is able to make better tactical decisions and feels more confident that the system handles the query properly. Evaluations with 30 subjects showed that user satisfaction is improved, whereas no conclusive results were received for efficiency.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  17. Pfeifer, U.; Fuhr, N.; Huynh, T.: Searching structured documents with the enhanced retrieval functionality of freeWAIS-sf and SFgate (1995) 0.00
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    Abstract
    The original WAIS implementation by Thinking Machines and others treats documents as uniform bags of terms. Since most documents exhibit some internal structure, it is desirable to provide the user means to exploit this structure in his queries. Presents extensions to the freeWAIS indexer and server, which allows access to document structures using the original WAIS protocol. Major extensions include: arbitrary document formats, search in individual structure elements, stemming and phonetic search, support of 8-bit character sets, numeric concepts and operators. combination of Boolean and linear retrieval. Presents a WWW-WAIS gateway specially tailored for usage with freeWAIS-sf which transforms filled out HTML forms to the new query syntax
  18. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.00
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    Date
    20.10.2000 12:22:23
  19. Ammersbach, K.; Fuhr, N.; Knorz, G.: Empirisch gestützte Konzeption einer neuen Generation von Werkstoffdatenbanken (1988) 0.00
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    Source
    Von der Information zum Wissen - vom Wissen zur Information: traditionelle und moderne Informationssysteme für Wissenschaft und Praxis, Deutscher Dokumentartag 1987, Bad Dürkheim, vom 23.-25.9.1987. Hrsg.: H. Strohl-Goebel
  20. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.00
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    Date
    14. 6.2015 22:12:44