Search (88 results, page 1 of 5)

  • × year_i:[1990 TO 2000}
  • × theme_ss:"Suchmaschinen"
  1. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.04
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    Date
    22. 2.1997 19:50:29
  2. Hsieh-Yee, I.: ¬The retrieval power of selected search engines : how well do they address general reference questions and subject questions? (1998) 0.03
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    Abstract
    Evaluates the performance of 8 major Internet search engines in answering 21 real reference questions and 5 made up subject questions. Reports on the retrieval and relevancy ranking abilities of the search engines. Concludes that the search engines did not produce good results for the reference questions unlike for the subject questions. The best engines are identified by type of questions, with Infoseek best for the subject questions, and OpenText best for refrence questions
    Date
    25.12.1998 19:22:51
  3. Wiley, D.L.: Beyond information retrieval : ways to provide content in context (1998) 0.03
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    Abstract
    The days of the traditional abstracting and indexing services are waning, as abstracts and bibliographic data become commodities. However, there are tremedous opportunities for those organizations willing to look beyond the status quo to the new possibilities enabled by the latest wave of advanced technologies. Those who own content need to focus on the delivery mechanisms and new markets that technology can provide. Features like automatic extraction of key concepts or names, collaborative filtering to help with trend analysis, and visualization techniques can take information past the retrieval stage and into the management area
    Source
    Database. 21(1998) no.4, S.18-22
  4. Altmann, O.; Pöhl, S.: Information Retrieval im Internet : bekannte Suchdienste und ihre Eigenschaften (1997) 0.02
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    Pages
    S.18-22
  5. Amato, G.; Rabitti, F.; Savino, P.: Multimedia document search on the Web (1998) 0.02
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    Abstract
    Presents a multimedia model which describes the various multimedia components, their structure and their relationships with a pre-defined taxonomy of concepts, in order to support search engine information retrieval process
    Date
    1. 8.1996 22:08:06
  6. Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997) 0.02
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    Abstract
    Describes a search engine that integrate text and image search. 1 or more Web site can be indexed for both textual and image information, allowing the user to search based on keywords or images or both. Another problem with the current search engines is that they show the results as pages of scrolled lists; this is not very user-friendly. The search engine allows the user to visualise to results in various ways. Explains the indexing and searching techniques of the search engine and highlights several features of the querying interface to make the retrieval process more efficient. Use examples to show the usefulness of the technology
    Date
    1. 8.1996 22:08:06
  7. Bertelmann, R.; Rusch-Feja, D.: Informationsretrieval im Internet : Surfen, Browsen, Suchen - mit einem Überblick über strukturierte Informationsangebote (1997) 0.02
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    Abstract
    Das gezielte Suchen im Internet findet in erster Linie mit Hilfe der Suchmaschinen statt. Daneben gibt es aber bereits eine Fülle von strukturierten Informationsangeboten, aufbereiteten Listen und Sammelstellen, die als Clearinghouse, Subject Gateway, Subject Tree oder Resource Pages bezeichnet werden. Solche intellektuell erstellten Übersichten geben in der Regel bereits Hinweise zu Inhalt und fachlichem Niveau der Quelle. Da die Art und Weise der Aufbereitung bei den Sammelstellen sehr unterschiedlich funktioniert, ist die Kenntnis ihrer Erschließungskriterien für ein erfolgreiches Retrieval unverzichtbar
    Date
    9. 7.2000 11:31:22
  8. Kurzke, C.; Galle, M.; Bathelt, M.: WebAssistant : a user profile specific information retrieval assistant (1998) 0.02
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    Date
    1. 8.1996 22:08:06
  9. Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998) 0.02
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    Date
    1. 8.1996 22:08:06
    Theme
    Klassifikationssysteme im Online-Retrieval
  10. Chen, H.; Houston, A.L.; Sewell, R.R.; Schatz, B.R.: Internet browsing and searching : user evaluations of category map and concept space techniques (1998) 0.02
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    Abstract
    The Internet provides an exceptional testbed for developing algorithms that can improve bowsing and searching large information spaces. Browsing and searching tasks are susceptible to problems of information overload and vocabulary differences. Much of the current research is aimed at the development and refinement of algorithms to improve browsing and searching by addressing these problems. Our research was focused on discovering whether two of the algorithms our research group has developed, a Kohonen algorithm category map for browsing, and an automatically generated concept space algorithm for searching, can help improve browsing and / or searching the Internet. Our results indicate that a Kohonen self-organizing map (SOM)-based algorithm can successfully categorize a large and eclectic Internet information space (the Entertainment subcategory of Yahoo!) into manageable sub-spaces that users can successfully navigate to locate a homepage of interest to them. The SOM algorithm worked best with browsing tasks that were very broad, and in which subjects skipped around between categories. Subjects especially liked the visual and graphical aspects of the map. Subjects who tried to do a directed search, and those that wanted to use the more familiar mental models (alphabetic or hierarchical organization) for browsing, found that the work did not work well. The results from the concept space experiment were especially encouraging. There were no significant differences among the precision measures for the set of documents identified by subject-suggested terms, thesaurus-suggested terms, and the combination of subject- and thesaurus-suggested terms. The recall measures indicated that the combination of subject- and thesaurs-suggested terms exhibited significantly better recall than subject-suggested terms alone. Furthermore, analysis of the homepages indicated that there was limited overlap between the homepages retrieved by the subject-suggested and thesaurus-suggested terms. Since the retrieval homepages for the most part were different, this suggests that a user can enhance a keyword-based search by using an automatically generated concept space. Subejcts especially liked the level of control that they could exert over the search, and the fact that the terms suggested by the thesaurus were 'real' (i.e., orininating in the homepages) and therefore guaranteed to have retrieval success
    Object
    Kohonen-Netz
  11. Place, E.: Internationale Zusammenarbeit bei Internet Subject Gateways (1999) 0.02
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    Date
    22. 6.2002 19:35:09
    Theme
    Klassifikationssysteme im Online-Retrieval
  12. Ardo, A.; Lundberg, S.: ¬A regional distributed WWW search and indexing service : the DESIRE way (1998) 0.02
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    Date
    1. 8.1996 22:08:06
    Theme
    Klassifikationssysteme im Online-Retrieval
  13. Bradley, P.: Advanced Internet searcher's handbook (1998) 0.02
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    LCSH
    World Wide Web (Information retrieval system)
    Information retrieval
    Subject
    World Wide Web (Information retrieval system)
    Information retrieval
  14. From 'storage and retrieval systems' to 'search engines' : text retrieval in evolution (1998) 0.02
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  15. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999) 0.01
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    Abstract
    This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing
    RSWK
    Suchmaschine / Information Retrieval
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
    Subject
    Suchmaschine / Information Retrieval
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
  16. Sauer, D.: Watson sucht, Holmes findet! (1999) 0.01
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    Abstract
    Selbst die beste Suchmaschine findet nicht alles im Netz. Effektiver und auch preiswerter ist die Suche mit Meta-suchmaschinen. Doch was taugen die Super-Sucher? Com!online hat alle Meta-Helfer getestet und stellt die 10 besten vor. Der Sieger heißt Profusion
  17. Wiedemann, D.: Infos finden (1998) 0.01
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    Abstract
    Suchmaschinen wie Lycos oder Yahoo kennt inzwischen jeder. Doch es gibt ausgefeiltere Methoden, um Infos im Netz schnell und effektiv zu finden
  18. Cooke, A.: ¬A guide to finding quality information on the Internet : selection and evaluation strategies (1999) 0.01
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    LCSH
    Information retrieval
    Subject
    Information retrieval
  19. Stock, W.G.: Verkaufte Suchwörter, verkaufte Links : Retrieval nach Homepages optimiert? (1999) 0.01
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    Abstract
    Selten wurde ein Dienst so stark diskutiert wie 'RealNames', da sowohl seine Suchwörter als auch die darauf aufsetzenden Links auf Homepages verkauft werden. Machen wir uns doch nichts vor: Das WWW ist ein kommerzielles Unternehmen, die Dienstleistungen müssen finanziert werden. Und warum soll nicht ein Privatunternehmen mit Inhaltserschließung Gewinne erzielen? RealNames mit seinem 'Internet Keyword System' ist eine interessante Idee, das Retrieval nach Homepages zielgenau durchzuführen. Was bringt RealNames den Nutzern? Wann sollte jemand, der Sites im WWW unterhält, Suchwörter und Links bei RealNames abonnieren (und was kostet das)? Im Oktober 1999 haben wir RealNames genauer angeschaut. Analysiert wurde das gezielte Retrieval nach Homepages bei AltaVista, Fireball und bei RealNames.com
  20. Lim, E.: Subject Gateways in Südostasien : Anwendung von Klassifikationen (1999) 0.01
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    Theme
    Klassifikationssysteme im Online-Retrieval

Languages

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