Search (20 results, page 1 of 1)

  • × year_i:[1990 TO 2000}
  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Michel, D.: Taxonomy of Subject Relationships (1997) 0.35
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  2. Jarvelin, K.: ¬A deductive data model for thesaurus navigation and query expansion (1996) 0.29
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  3. Shapiro, C.D.; Yan, P.-F.: Generous tools : thesauri in digital libraries (1996) 0.26
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    Abstract
    The Electronic Libraries and Information Highways MITRE Sponsored Research project aims to help searchers working in digital libraries increase their chance of matching the language of authors. Focuses on whether query formulation can be improved through the addition of semantic knowledge that is interactively gathered from a thesaurus that exists in a distributed, interoperating, cooperative environment. A prototype, ELVIS, was built that improves information retrieval through query expansion and is based on publicly available Z39.50 standard thesauri integrated with networked information discovery and retrieval tools
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  4. Chen, H.; Martinez, J.; Kirchhoff, A.; Ng, T.D.; Schatz, B.R.: Alleviating search uncertainty through concept associations : automatic indexing, co-occurence analysis, and parallel computing (1998) 0.23
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    Abstract
    In this article, we report research on an algorithmic approach to alleviating search uncertainty in a large information space. Grounded on object filtering, automatic indexing, and co-occurence analysis, we performed a large-scale experiment using a parallel supercomputer (SGI Power Challenge) to analyze 400.000+ abstracts in an INSPEC computer engineering collection. Two system-generated thesauri, one based on a combined object filtering and automatic indexing method, and the other based on automatic indexing only, were compaed with the human-generated INSPEC subject thesaurus. Our user evaluation revealed that the system-generated thesauri were better than the INSPEC thesaurus in 'concept recall', but in 'concept precision' the 3 thesauri were comparable. Our analysis also revealed that the terms suggested by the 3 thesauri were complementary and could be used to significantly increase 'variety' in search terms the thereby reduce search uncertainty
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  5. Spiteri, L.F.: ¬The essential elements of faceted thesauri (1999) 0.21
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  6. ALA / Subcommittee on Subject Relationships/Reference Structures: Final Report to the ALCTS/CCS Subject Analysis Committee (1997) 0.12
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  7. Otto, A.: Ordnungssysteme als Wissensbasis für die Suche in textbasierten Datenbeständen : dargestellt am Beispiel einer soziologischen Bibliographie (1998) 0.08
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    Abstract
    Es wird eine Methode vorgestellt, wie sich Ordnungssysteme für die Suche in textbasierten Datenbeständen verwenden lassen. "Ordnungssystem" wird hier als Oberbegriff für beliebige geordnete Begriffssammlungen verwendet. Dies sind beispielsweise Thesauri, Klassifikationen und formale Systematiken. Weil Thesauri dabei die leistungsfähigsten Ordnungssysteme sind, finden sie eine besondere Berücksichtigung. Der Beitrag ist streng praxisbezogenen und auf die Nutzerschnittstelle konzentriert. Die Basis für die Nutzerschnittstelle bilden Ordnungssysteme, die über eine WWW-Schnittstelle angeboten werden. Je nach Fachgebiet kann der Nutzer ein spezielles Ordnungssystem für die Suche auswählen. Im Unterschied zu klassischen Verfahren werden die Ordnungssysteme nicht zur ausschließlichen Suche in Deskriptorenfeldern, sondern für die Suche in einem Basic Index verwendet. In der Anwendung auf den Basic Index sind die Ordnungssysteme quasi "entkoppelt" von der ursprünglichen Datenbank und den Deskriptorenfeldern, für die das Ordnungssystem entwickelt wurde. Die Inhalte einer Datenbank spielen bei der Wahl der Ordnungssysteme zunächst keine Rolle. Sie machen sich erst bei der Suche in der Anzahl der Treffer bemerkbar: so findet ein rechtswissenschaftlicher Thesaurus natürlicherweise in einer Medizin-Datenbank weniger relevante Dokumente als in einer Rechts-Datenbank, weil das im Rechts-Thesaurus abgebildete Begriffsgut eher in einer Rechts-Datenbank zu finden ist. Das Verfahren ist modular aufgebaut und sieht in der Konzeption nachgeordnete semantische Retrievalverfahren vor, die zu einer Verbesserung von Retrievaleffektivität und -effizienz führen werden. So werden aus einer Ergebnismenge, die ausschließlich durch exakten Zeichenkettenabgleich gefunden wurde, in einem nachfolgenden Schritt durch eine semantische Analyse diejenigen Dokumente herausgefiltert, die für die Suchfrage relevant sind. Die WWW-Nutzerschnittstelle und die Verwendung bereits bestehender Ordnungssysteme führen zu einer Minimierung des Arbeitsaufwands auf Nutzerseite. Die Kosten für eine Suche lassen sich sowohl auf der Input-Seite verringern, indem eine aufwendige "manuelle" Indexierung entfällt, als auch auf der Output-Seite, indem den Nutzern leicht bedienbare Suchoptionen zur Verfügung gestellt werden
  8. Gödert, W.; Lepsky, K.: Semantische Umfeldsuche im Information Retrieval (1998) 0.02
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    Abstract
    Sachliche Suchen in bibliothekarischen Online-Katalogen enden häufig mit unbefriedigenden Ergebnissen. Als eine Ursache dafür kann angesehen werden, daß die Gestaltung des Suchprozesses das semantische Umfeld einer Suchanfrage nicht mit einbezieht, daß in Übertragung der Verhältnisse in konventionellen Katalogen am Paradigma des Wort-Matching zwischen Suchwort und Indexat festgehalten wird. Es wird statt dessen das Konzept einer semantischen Umfeldsuche entwickelt und gezeigt, welche Rolle die Verwendung strukturierten Vokabulars dafür spielen kann. Insbesondere wird dargestellt, welche Möglichkeiten Verfahren der wörterbuchgestützten maschinellen Indexierung in diesem Zusammenhang spielen können. Die Ausführungen werden durch Beispiele illustriert
    Source
    Zeitschrift für Bibliothekswesen und Bibliographie. 45(1998) H.4, S.401-423
  9. Qiu, Y.; Frei, H.P.: Concept based query expansion (1993) 0.01
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    Abstract
    Presentation of a probabilistic query expansion based on an automatically constructed similarity thesaurus. Such thesauri reflect the domain knowledge of their origin collection
  10. Beaulieu, M.: Experiments on interfaces to support query expansion (1997) 0.01
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    Abstract
    Focuses on the user and human-computer interaction (HCI) aspects of the research based on the Okapi text retrieval system. Describes 3 experiments using different approaches to query expansion, highlighting the relationship between the functionality of a system and different interface designs. These experiments involve both automatic and interactive query expansion, and both character based and GUI (graphical user interface) environments. The effectiveness of the search interaction for query expansion depends on resolving opposing interface and functional aspects, e.g. automatic vs. interactive query expansion, explicit vs. implicit use of a thesaurus, and document vs. query space
  11. Fowler, R.H.; Wilson, B.A.; Fowler, W.A.L.: Information navigator : an information system using associative networks for display and retrieval (1992) 0.01
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    Abstract
    Document retrieval is a highly interactive process dealing with large amounts of information. Visual representations can provide both a means for managing the complexity of large information structures and an interface style well suited to interactive manipulation. The system we have designed utilizes visually displayed graphic structures and a direct manipulation interface style to supply an integrated environment for retrieval. A common visually displayed network structure is used for query, document content, and term relations. A query can be modified through direct manipulation of its visual form by incorporating terms from any other information structure the system displays. An associative thesaurus of terms and an inter-document network provide information about a document collection that can complement other retrieval aids. Visualization of these large data structures makes use of fisheye views and overview diagrams to help overcome some of the inherent difficulties of orientation and navigation in large information structures.
  12. Zarri, G.P.: Utilisation de structures conceptuelles complexes pour représenter le "contenu sémantique" de textes narratifs (1999) 0.01
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    Source
    Organisation des connaissances en vue de leur intégration dans les systèmes de représentation et de recherche d'information. Ed.: J. Maniez, et al
  13. Gödert, W.: Inhaltliche Dokumenterschließung, Information Retrieval und Navigation in Informationsräumen (1995) 0.00
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    Source
    Zeitschrift für Bibliothekswesen und Bibliographie. 42(1995) H.2, S.137-155
  14. Efthimiadis, E.N.: End-users' understanding of thesaural knowledge structures in interactive query expansion (1994) 0.00
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    Date
    30. 3.2001 13:35:22
  15. Fieldhouse, M.; Hancock-Beaulieu, M.: ¬The design of a graphical user interface for a highly interactive information retrieval system (1996) 0.00
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  16. Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998) 0.00
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    Date
    1. 8.1996 22:08:06
  17. Lund, K.; Burgess, C.; Atchley, R.A.: Semantic and associative priming in high-dimensional semantic space (1995) 0.00
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    Source
    Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society: July 22 - 25, 1995, University of Pittsburgh / ed. by Johanna D. Moore and Jill Fain Lehmann
  18. Rudolph, S.; Hemmje, M.: Visualisierung von Thesauri zur interaktiven Unterstüzung von visuellen Anfragen an Textdatenbanken (1994) 0.00
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    Abstract
    In der folgenden Studie wird eine Komponente für eine visuelle Benutzerschnittstelle zu Textdatenbanken entworfen. Mit Hilfe einer Terminologievisualisierung wird dem Benutzer eine Hilfestellung bei der Relevanzbewertung von Dokumenten und bei der Erweiterung seiner visuellen Anfrage an das Retrieval-System gegeben. Dazu werden zuerst die grundlegenden Information-Retrieval-Modelle eingehender vorgestellt, d.h., generelle Retrieval-Modelle, Retrievaloperationen und spezielle Retrieval-Modelle wie Text-Retrieval werden erläutert. Die Funktionalität eines Text-Retrieval-Systems wird vorgestellt. Darüber hinaus werden bereits existierende Implementierungen visueller Information-Retrieval-Benutzerschnittstellen vorgestellt. Im weiteren Verlauf der Arbeit werden mögliche Visualisierungen der mit Hilfe eines Text-Retrieval-Systems gefundenen Dokumente aufgezeigt. Es werden mehrere Vorschläge zur Visualisierung von Thesauri diskutiert. Es wird gezeigt, wie neuronale Netze zur Kartierung eines Eingabebereiches benutzt werden können. Klassifikationsebenen einer objekt-orientierten Annäherung eines Information-Retrieval-Systems werden vorgestellt. In diesem Zusammenhang werden auch die Eigenschaften von Thesauri sowie die Architektur und Funktion eines Parsersystems erläutert. Mit diesen Voraussetzung wird die Implementierung einer visuellen Terminologierunterstützung realisiert. Abschließend wird ein Fazit zur vorgestellten Realisierung basierend auf einem Drei-Schichten-Modell von [Agosti et al. 1990] gezogen.
  19. Järvelin, K.; Kristensen, J.; Niemi, T.; Sormunen, E.; Keskustalo, H.: ¬A deductive data model for query expansion (1996) 0.00
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    Source
    Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR '96), Zürich, Switzerland, August 18-22, 1996. Eds.: H.P. Frei et al
  20. Efthimiadis, E.N.: User choices : a new yardstick for the evaluation of ranking algorithms for interactive query expansion (1995) 0.00
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    Date
    22. 2.1996 13:14:10