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  • × theme_ss:"Suchmaschinen"
  1. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.05 
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  2. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.02 
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  3. Höfer, W.: Detektive im Web (1999) 0.02 
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    Date
    22. 8.1999 20:22:06
  4. Rensman, J.: Blick ins Getriebe (1999) 0.02 
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    Date
    22. 8.1999 21:22:59
  5. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.02 
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    Date
    27.11.2005 18:04:22
  6. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.02 
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    Date
    22. 6.2002 19:40:22
  7. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.02 
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
  8. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.02 
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    Date
    25. 8.2005 17:42:22
  9. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.02 
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    Date
    3. 5.1997 8:44:22
  10. Dunning, A.: Do we still need search engines? (1999) 0.02 
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    Source
    Ariadne. 1999, no.22
  11. Bawden, D.: Google and the universe of knowledge (2008) 0.02 
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    Date
    7. 6.2008 16:22:20
  12. 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
  13. "Internet-Suchmaschine der nächsten Generation" : Seruba (2001) 0.02 
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    Abstract
    Das Hamburger Unternehmen Seruba unter Leitung von Prof. Dr. Winfried Schmitz-Esser hat unter der Adresse www.lex4.com eine "Internet-Suchmaschine der nächsten Generation" gestartet, über die ein Thema in Deutsch, Englisch, Französisch und Spanisch erschlossen werden kann. Lex4 basiert auf den "Lexicosaurus", einer Kombination aus Lexikon und Thesaurus, die dreierlei verzeichnet: was unter einem bestimmten Begriff zu verstehen ist, in welchem Zusammenhang dieser Begriff zu anderen Begriffen steht und welche Ausdrücke für diesen Begriff in den vier genannten Sprachen geläufig sind. Insgesamt sind in dem semantischen Netzwerk über 500.000 Einzelbegriffe zu Bedeutungs- und Themenzusammenhängen verknüpft. Die 1998 gegründete Seruba ist risikokapitalfinanziert und beschäftigt 26 Mitarbeiter. Schmitz-Esser lehrt Mediendokumentation an der FH Hamburg
  14. Auf der Suche nach Suchmaschinen (1996) 0.02 
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    Source
    Cogito. 12(1996) H.5, S.19-22
  15. Birmingham, J.: Internet search engines (1996) 0.02 
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    Date
    10.11.1996 16:36:22
  16. Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998) 0.02 
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    Date
    29.12.1998 11:22:00
  17. Lob, S.: Per Mausklick auf die neusten Nachrichten : Internet-Suchmaschinen liefern Presse-Überblicke und stellen persönliche Zeitungen zusammen (1998) 0.02 
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    Date
    29.12.1998 11:22:25
  18. Hannemann, M.: Online ins Schlaraffenland der Wissenschaft : Literatur-Recherche im Internet ist ein teures Unterfangen ohne Erfolgsgarantie - Doch wer systematisch sucht, gelangt zügig ans Ziel (1999) 0.02 
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    Date
    3. 5.1997 8:44:22
  19. Hock, R.E.: How to do field searching in Web search engines : a field trip (1998) 0.02 
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    Source
    Online. 22(1998) no.3, S.18-22
  20. Ding, Y.; Chowdhury, G.; Foo, S.: Organsising keywords in a Web search environment : a methodology based on co-word analysis (2000) 0.01 
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    Abstract
    The rapid development of the Internet and World Wide Web has caused some critical problem for information retrieval. Researchers have made several attempts to solve these problems. Thesauri and subject heading lists as traditional information retrieval tools have been criticised for their efficiency to tackle these newly emerging problems. This paper proposes an information retrieval tool generated by cocitation analysis, comprising keyword clusters with relationships based on the co-occurrences of keywords in the literature. Such a tool can play the role of an associative thesaurus that can provide information about the keywords in a domain that might be useful for information searching and query expansion

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