Search (21 results, page 1 of 2)

  • × language_ss:"e"
  • × type_ss:"el"
  • × year_i:[1990 TO 2000}
  1. Page, L.; Brin, S.; Motwani, R.; Winograd, T.: ¬The PageRank citation ranking : Bringing order to the Web (1999) 0.03
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  2. Carrière, J.; Kazman, R.: WebQuery : searching and visualizing the Web through connectivity (1996) 0.01
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    Abstract
    Finding information located somewhere on the WWW is an error-prone and frustrating task. The WebQuey system offers a powerful new method for searching the Web based on connectivity and content. We do this by examining links among the nodes returned in a keyword-based query. We then rank the nodes, giving the highest rank to the most highly connected nodes. By doing so, we are finding 'hot spots' on the Web that contain onformation germane to a user's query. WebQuery not only ranks and filters the results of a Web query, it also extends the result set beyond what the search engine retrieves, by finding 'interesting' sites that are hoghly connected to those sites returned by the original query. Even with WebQuery filtering and ranking query results, the result sets can be enourmous. So, wen need to visualize the returned information. We explore several techniques for visualizing this information - including cone trees, 2D graphs, 3D graphy, lists, and bullseyes - and discuss the criteria for using each of the techniques
  3. Dolin, R.; Agrawal, D.; El Abbadi, A.; Pearlman, J.: Using automated classification for summarizing and selecting heterogeneous information sources (1998) 0.01
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    Abstract
    We are currently experimenting with newsgroups as collections. We have built an initial prototype which automatically classifies and summarizes newsgroups within the LCC. (The prototype can be tested below, and more details may be found at http://pharos.alexandria.ucsb.edu/). The prototype uses electronic library catalog records as a `training set' and Latent Semantic Indexing (LSI) for IR. We use the training set to build a rich set of classification terminology, and associate these terms with the relevant categories in the LCC. This association between terms and classification categories allows us to relate users' queries to nodes in the LCC so that users can select appropriate query categories. Newsgroups are similarly associated with classification categories. Pharos then matches the categories selected by users to relevant newsgroups. In principle, this approach allows users to exclude newsgroups that might have been selected based on an unintended meaning of a query term, and to include newsgroups with relevant content even though the exact query terms may not have been used. This work is extensible to other types of classification, including geographical, temporal, and image feature. Before discussing the methodology of the collection summarization and selection, we first present an online demonstration below. The demonstration is not intended to be a complete end-user interface. Rather, it is intended merely to offer a view of the process to suggest the "look and feel" of the prototype. The demo works as follows. First supply it with a few keywords of interest. The system will then use those terms to try to return to you the most relevant subject categories within the LCC. Assuming that the system recognizes any of your terms (it has over 400,000 terms indexed), it will give you a list of 15 LCC categories sorted by relevancy ranking. From there, you have two choices. The first choice, by clicking on the "News" links, is to get a list of newsgroups which the system has identified as relevant to the LCC category you select. The other choice, by clicking on the LCC ID links, is to enter the LCC hierarchy starting at the category of your choice and navigate the tree until you locate the best category for your query. From there, again, you can get a list of newsgroups by clicking on the "News" links. After having shown this demonstration to many people, we would like to suggest that you first give it easier examples before trying to break it. For example, "prostate cancer" (discussed below), "remote sensing", "investment banking", and "gershwin" all work reasonably well.
  4. Microsoft encarta : multimedia encyclopedia (1992) 0.00
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    Content
    Textgrundlage: Funk & Wagnalls new encyclopedia. Vol.1-29
  5. Dunning, A.: Do we still need search engines? (1999) 0.00
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    Source
    Ariadne. 1999, no.22
  6. Microsoft encarta '95 : the complete interactive multimedia encyclopedia (1995) 0.00
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    Content
    Textgrundlage: Funk & Wagnalls new encyclopedia. Vol.1-29; American heritage concise dictionary; Roget's II: The new thesaurus
  7. Bookscape (1996) 0.00
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    Date
    16. 7.1996 18:29:21
  8. Yearbook plus of international organizations and biographies (1996) 0.00
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    Date
    25.11.1995 12:29:09
  9. Mortimer, M.; Lockhead, K.; Hyland, M.: CatSkill : a multimedia course on AACR2 and MARC (1994) 0.00
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    Footnote
    Rez. in: Journal of librarianship and information science 29(1997) no.1, S.54-56 (J.H. Bowman)
  10. WordNet 1.6 : Released by the Cognitive Science Laboratory at Princeton University (1998) 0.00
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    Date
    29. 3.1996 18:16:49
  11. Strobel, S.: ¬The complete Linux kit : fully configured LINUX system kernel (1997) 0.00
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    Date
    16. 7.2002 20:22:55
  12. Birmingham, J.: Internet search engines (1996) 0.00
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    Date
    10.11.1996 16:36:22
  13. Infopedia : the ultimate multimedia encyclopedia and reference library (1995) 0.00
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    Abstract
    Ein neuer Meilenstein unter den elektronischen Nachschlagewerken. Insgesamt 200.000 Stichwörter, basierend auf der 29 bändigen Funk & Wagnalls New Encyclopedia und 7 weiterer amerikanischer Nachschlagewerke. Die Oberfläche setzt an Übersichtlichkeit und Schnelligkeit neue Maßstäbe
  14. Maple, A.: Faceted access : a review of the literature (1995) 0.00
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    Date
    20. 8.2006 12:29:16
  15. Electronic Dewey (1993) 0.00
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    Footnote
    Rez. in: Cataloging and classification quarterly 19(1994) no.1, S.134-137 (M. Carpenter). - Inzwischen existiert auch eine Windows-Version: 'Electronic Dewey for Windows', vgl. Knowledge organization 22(1995) no.1, S.17
  16. Lackes, R.; Mack, D.: Computer Based Training on neural nets : Basics, development, and practice (1998) 0.00
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    Date
    5. 4.1998 19:04:29
  17. Hirsch, C.C.: InterBRAIN : topographical atlas of the anatomy of the human CNS (1998) 0.00
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    Date
    26. 2.2003 18:29:56
  18. Rindflesch, T.C.; Aronson, A.R.: Semantic processing in information retrieval (1993) 0.00
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    Date
    29. 6.2015 14:51:28
  19. Priss, U.: Faceted knowledge representation (1999) 0.00
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    Date
    22. 1.2016 17:30:31
  20. Pitti, D.V.: Encoded Archival Description : an introduction and overview (1999) 0.00
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    Date
    26.12.2011 16:29:28