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  1. Schardt-Sahelijo, L.P.; Pastowsky, M.: ¬Der iARD-Marktreport : optoelektronische Systeme für Imageverarbeitung, Archivierung, Information Retrieval, Dokumenten-Management (1994) 0.04
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    Date
    29. 1.1996 10:05:39
  2. Siemer, J.A.: ¬An information retrieval expert system prototype for agricultural literature reference database-description and evaluation (1994) 0.03
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    Date
    29. 1.1996 10:09:21
  3. Siemer, J.A.: ¬A conceptual model for an information retrieval expert system prototype for agricultural bibliographic literature databases (1994) 0.03
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    Date
    29. 1.1996 10:09:21
  4. Siemer, J.A.: ¬A functional model for an information retrieval expert system for agricultural literature reference databases (1994) 0.03
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    Date
    29. 1.1996 10:09:21
  5. Siemer, J.A.: ¬The knowledge for a detailed conceptual model for an information retrieval expert system (1994) 0.03
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    Date
    29. 1.1996 10:09:21
  6. ELINOR : Electronic Library Project (1998) 0.03
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    Abstract
    Describes the final phase of the work on the ELINOR (Electronic Library INformation Online Retrieval) project at De Montfort University, Leicester, which concluded in 1996. ELINOR was 2 phase project with 3 overall goals: to create a practical pilot system based on a commercial product (Excalibur EFS); to investigate the expansion of a small scale electronic library to a larger, distributed library system; and to develop a more efficient and effective means of accessing and sharing resources within a networked multi campus institution. ELINOR was successful in demonstrating that libraries may conveniently digitize and supply smal collections of high demand materials over a campus network in text anf TIFF format. Operational conditions have so far indicated that the barriers are not technological but involve copyright, use issues and sustainability
    Date
    31. 7.1998 19:29:21
    Series
    British Library Research and Innovation Centre (BLRIC) report; 22
  7. Loth, K.; Grunewald, F.: Ideen zu einer gemeinsamen Sacherschliessung (1996) 0.03
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    Date
    29. 3.1996 15:20:01
    Theme
    Klassifikationssysteme im Online-Retrieval
  8. Fuhr, N.: Hypertext und Information-Retrieval (1990) 0.02
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  9. Belkin, N.J.; Vickery, A.: Interaction in information systems : a review of research from document retrieval to knowledge-based systems (1985) 0.02
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    Series
    Library and information science report; 35
  10. Studer, R.; Studer, H.-P.; Studer, A.: Semantisches Knowledge Retrieval (2001) 0.02
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    Abstract
    Dieses Whitepaper befasst sich mit der Integration semantischer Technologien in bestehende Ansätze des Information Retrieval und die damit verbundenen weitreichenden Auswirkungen auf Effizienz und Effektivität von Suche und Navigation in Dokumenten. Nach einer Einbettung in die Problematik des Wissensmanagement aus Sicht der Informationstechnik folgt ein Überblick zu den Methoden des Information Retrieval. Anschließend werden die semantischen Technologien "Wissen modellieren - Ontologie" und "Neues Wissen ableiten - Inferenz" vorgestellt. Ein Integrationsansatz wird im Folgenden diskutiert und die entstehenden Mehrwerte präsentiert. Insbesondere ergeben sich Erweiterungen hinsichtlich einer verfeinerten Suchunterstützung und einer kontextbezogenen Navigation sowie die Möglichkeiten der Auswertung von regelbasierten Zusammenhängen und einfache Integration von strukturierten Informationsquellen. Das Whitepaper schließt mit einem Ausblick auf die zukünftige Entwicklung des WWW hin zu einem Semantic Web und die damit verbundenen Implikationen für semantische Technologien.
    Content
    Inhalt: 1. Einführung - 2. Wissensmanagement - 3. Information Retrieval - 3.1. Methoden und Techniken - 3.2. Information Retrieval in der Anwendung - 4. Semantische Ansätze - 4.1. Wissen modellieren - Ontologie - 4.2. Neues Wissen inferieren - 5. Knowledge Retrieval in der Anwendung - 6. Zukunftsaussichten - 7. Fazit
  11. Rudolph, S.; Hemmje, M.: Visualisierung von Thesauri zur interaktiven Unterstüzung von visuellen Anfragen an Textdatenbanken (1994) 0.02
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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.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  12. Efthimiadis, E.N.: Approaches to search formulation and query expansion in information systems : DRS, DBMS, ES (1992) 0.02
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    Abstract
    Discusses the ways in which systems and/or users formulate and reformulate searches in documents retrieval systems (DRS), database management systems (DBMS) and expert systems (ES). Concludes that query formulation and reformulation has been neglected in these fields
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  13. McCormick, A.; Sutton, A.: Open learning and the Internet in public libraries (1998) 0.02
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    Abstract
    Presents the findings of the South Ayrshire Libraries OPen Learning and the Internet project, Sep 1997 to Oct 1998. The objective was to demonstrate how open learning materials available on the Internet could be integrated with the provision of local open learning resources to provide an enhanced learning environment in public libraries. The main areas of concentration within the project were information skills support to public library users and the provision of WWW based independent materials to learners. The organisation and retrieval of Web based resources for local use was a major issue throughout the project. Recommends the adoption of Dublin Core metadata standards, the connection of databases of resources with searchable wen pages, and the development of thesauri of terms used to index the Web based resources locally. Sstaff training, and the new skills which will need to be developed, were identified as issues. Cost was also identified as a related issue, extending to issues such as access to open learning material and the Internet
    Date
    22. 5.1999 18:55:19
  14. Doyle, L.B.: Indexing and abstracting by association : Part 1 (1962) 0.02
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.25-38
  15. Robertson, A.M.; Willett, P.: Use of genetic algorithms in information retrieval (1995) 0.02
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    Abstract
    Reviews the basic techniques involving genetic algorithms and their application to 2 problems in information retrieval: the generation of equifrequent groups of index terms; and the identification of optimal query and term weights. The algorithm developed for the generation of equifrequent groupings proved to be effective in operation, achieving results comparable with those obtained using a good deterministic algorithm. The algorithm developed for the identification of optimal query and term weighting involves fitness function that is based on full relevance information
  16. Artificial neural networks for information retrieval in a libraries context (1995) 0.02
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    Footnote
    Rez. in: Journal of librarianship and information science 30(1998) no.2, S.143-145 (T. Wilson)
  17. Horch, A.; Kett, H.; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen (2013) 0.02
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    RSWK
    Suchmaschine / Semantic Web / Information Retrieval
    Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System
    Subject
    Suchmaschine / Semantic Web / Information Retrieval
    Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  18. Perkins, C.; Guest, P.: Operationalizing a sheet based cartographic information retrieval system (1993) 0.01
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  19. Keen, E.M.: Interactive ranked retrieval (1995) 0.01
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    Abstract
    Reports the design, building and testing of the Interactive Ranked Output Search Engine (IROSE), which includes as the main features: query reformulation, ranked output match options, field bias options, marking of must, minus, and truncated suppressed terms. Both DOS and Windows versions of IROSE were constructed and laboratory search tests were performed using 3 test collections of records with queries and relevance jedgements in the subject area of cystic fibrosis, library and information and current affairs. Concludes that there is substantial evidence of the quality of this approach to information retrieval and future tests are needed to redefine and improve the optionality and move to semi operational testing
  20. Multilingual information management : current levels and future abilities. A report Commissioned by the US National Science Foundation and also delivered to the European Commission's Language Engineering Office and the US Defense Advanced Research Projects Agency, April 1999 (1999) 0.01
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    Abstract
    Over the past 50 years, a variety of language-related capabilities has been developed in machine translation, information retrieval, speech recognition, text summarization, and so on. These applications rest upon a set of core techniques such as language modeling, information extraction, parsing, generation, and multimedia planning and integration; and they involve methods using statistics, rules, grammars, lexicons, ontologies, training techniques, and so on. It is a puzzling fact that although all of this work deals with language in some form or other, the major applications have each developed a separate research field. For example, there is no reason why speech recognition techniques involving n-grams and hidden Markov models could not have been used in machine translation 15 years earlier than they were, or why some of the lexical and semantic insights from the subarea called Computational Linguistics are still not used in information retrieval.
    This picture will rapidly change. The twin challenges of massive information overload via the web and ubiquitous computers present us with an unavoidable task: developing techniques to handle multilingual and multi-modal information robustly and efficiently, with as high quality performance as possible. The most effective way for us to address such a mammoth task, and to ensure that our various techniques and applications fit together, is to start talking across the artificial research boundaries. Extending the current technologies will require integrating the various capabilities into multi-functional and multi-lingual natural language systems. However, at this time there is no clear vision of how these technologies could or should be assembled into a coherent framework. What would be involved in connecting a speech recognition system to an information retrieval engine, and then using machine translation and summarization software to process the retrieved text? How can traditional parsing and generation be enhanced with statistical techniques? What would be the effect of carefully crafted lexicons on traditional information retrieval? At which points should machine translation be interleaved within information retrieval systems to enable multilingual processing?

Authors

Years

Languages

  • e 130
  • d 49

Types

  • el 22
  • m 2
  • s 2
  • x 2
  • d 1
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