Search (263 results, page 1 of 14)

  • × theme_ss:"Suchmaschinen"
  1. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.13 
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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. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.06 
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    Date
    22. 6.2002 19:40:22
  3. Long, J.: Google hacking (2005) 0.04 
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    RSWK
    Google / Reverse Engineering / Datensicherung / Computersicherheit
    Subject
    Google / Reverse Engineering / Datensicherung / Computersicherheit
  4. Mejer, J.J.; Conkling, T.W.: Google Scholar's coverage of the engineering literature : an empirical study (2008) 0.03 
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    Abstract
    Google Scholar's coverage of the engineering literature is analyzed by comparing its contents with those of Compendex, the premier engineering database. Records retrieved from Compendex were searched in Google Scholar, and a decade by decade comparison was done from the 1950s through 2007. The results show that the percentage of records appearing in Google Scholar increased over time, approaching a 90 percent matching rate for materials published after 1990.
  5. Röscheisen, E.: Fin de such (2001) 0.03 
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    Abstract
    Die klassischen Portale entwickeln sich von der Suchmaschine zum Informationsbroker weiter. Die Zukunft der Suche nach Information wird ganz im Zeichen Künstlicher Intelligenz, verteilter Agenten und Wissensmanagement stehen - verschiedene spezialisierte Anbieter liefern bereits heute einen ersten vorgeschmack
  6. Sreenivasulu, V.: Engineering a search engine (WebLib) and browser (Knowledge Navigator) for digital libraries : global knowledge discovery tools exclusively for librarians and libraries on the Web (2002) 0.03 
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  7. Koenemann, J.; Lindner, H.-G.; Thomas, C.: Unternehmensportale : Von Suchmaschinen zum Wissensmanagement (2000) 0.02 
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  8. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999) 0.02 
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    Classification
    ST 230 [Informatik # Monographien # Software und -entwicklung # Software allgemein, (Einführung, Lehrbücher, Methoden der Programmierung) Software engineering, Programmentwicklungssysteme, Softwarewerkzeuge]
    RVK
    ST 230 [Informatik # Monographien # Software und -entwicklung # Software allgemein, (Einführung, Lehrbücher, Methoden der Programmierung) Software engineering, Programmentwicklungssysteme, Softwarewerkzeuge]
  9. Granum, G.; Barker, P.: ¬An EASIER way to search online engineering resource (2000) 0.02 
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  10. Fauldrath, J.; Kunisch, A.: Kooperative Evaluation der Usability von Suchmaschineninterfaces (2005) 0.02 
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    Abstract
    Im Rahmen einer Projektarbeit des Fachbereichs Informations- und Wissensmanagement (IuW) der Fachhochschule Darmstadt mit T-Online International AG (Weiterstadt) wurde eine Untersuchung der Funktionalitäten von Suchmaschinen, Portalen und Metasuchmaschinen durchgeführt. Ziel war es zu ermitteln, inwieweit Standards für das Produkt Suchdienstleistung im Web existieren und wie diese Funktionalitäten bereits heute in die Angebote integriert sind. Hierzu wurden in enger Zusammenarbeit ein Kriterienkatalog erarbeitet und anschließend die Produkte evaluiert. Besonders wichtig ist dabei, dass die Nutzer das Gefühl erhalten, ihre Distanz zur gesuchten Information durch das Angebot zu verringern. Hierbei ist jede Form von Vereinfachung und Hilfe gewünscht, um möglichst schnell, einfach und umfassend zum Ergebnis zu kommen. Das Suchangebot ist für die Suchmaschinenanbieter ein Wirtschaftsfaktor, aber auch für kommerzielle Anbieter ist es wichtig, mit einem möglichst hohen Ranking auf gut gestalteten Ergebnisseiten auffindbar zu sein. Deshalb ist das Thema Usability von Suchmaschineninterfaces brandaktuell.
  11. Sauer, D.: Alles schneller finden (2001) 0.02 
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    Date
    1. 8.1997 14:03:29
    11.11.2001 17:25:22
    Source
    Com!online. 2001, H.12, S.24-29
  12. Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010) 0.02 
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    Abstract
    For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine
  13. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.01 
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    Date
    22. 2.1997 19:50:29
  14. Long, J.: Google hacking (2008) 0.01 
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    RSWK
    Google / Reverse Engineering / Datensicherung / Computersicherheit
    Subject
    Google / Reverse Engineering / Datensicherung / Computersicherheit
  15. Schulzki-Haddouti, C.: Mit Google durchs WWW : Was die immer populärer werdende Suchmaschine vom Rest der Welt unterscheidet (2001) 0.01 
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    Abstract
    Eine kleine, unscheinbare Suchmaschine hat sich in wenigen Monaten vom Geheimtipp zum Renner entwickelt: Google. Mitte Februar landete Google einen Coup: Es übernahm das Usenet-Archiv von Deja.com. Nicht erst damit ist Google die größte und intelligenteste Suchmaschine. Bis auf das Eingabefeld und das Google-Logo ist nichts zu sehen. Keine Kataloge, keine Nachrichten, kein Übersetzungsdienst, keine Werbung - kein Portal. Google kennt nur eins: Das Suchen von Informationen. Erstaunlich für den Erstnutzer: Oft stehen die relevanten Ergebnisse an erster Stelle. Google arbeitet mit einer ganzen Reihe von Tricks, um seine Nutzer nicht zu frustrieren. Sein Haupttrick: Es bewertet die Webseiten als wichtig, auf die viele andere Webseiten verweisen. Die Seite, auf die am häufigsten verwiesen wird, steht ganz oben. Auf diese Weise macht Google auch Nachbarschaften aus: Als "ähnliche Seite" von Telepolis findet man zum Beispiel c'theory. In der Nachbarschaft des Handelsblatts hingegen findet man andere Wirtschaftszeitungen und -magazine. Entwickelt wurde Google vom Computeringenieur Lawrence Page und dem Mathematiker Sergey Brin. Sie lernten sich an der Stanford University kennen, wo sie "einen Prototypen für eine umfassende Suchmaschine" entwickelten. Der Prototyp mit 24 Millionen Seiten samt Hyperlink-Datenbank war 1997 zunächst auf einem Server der Stanford-Universität zu bewundern. Heute ist Google eine florierende Firma. Rund 40 der 200 Mitarbeiter von Google haben einen Doktortitel, die Hälfte ist im Software-Engineering tätig
  16. Li, Z.: ¬A domain specific search engine with explicit document relations (2013) 0.01 
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    Imprint
    Stockholm : KTH Electrical Engineering
  17. Cheng, S.; YunTao, P.; JunPeng, Y.; Hong, G.; ZhengLu, Y.; ZhiYu, H.: PageRank, HITS and impact factor for journal ranking (2009) 0.01 
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    Source
    Proceeding CSIE '09: Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 06
  18. Lewandowski, D.: Alles nur noch Google? : Entwicklungen im Bereich der WWW-Suchmaschinen (2002) 0.01 
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    Date
    29. 9.2002 18:49:22
  19. Becker, F.: Internet-Suchmaschinen : Funktionsweise und Beurteilung (1999) 0.01 
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    Date
    23.10.1996 17:26:29
    22. 3.2008 14:04:11
  20. Radhakrishnan, A.: Swoogle : an engine for the Semantic Web (2007) 0.01 
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    Content
    "Swoogle, the Semantic web search engine, is a research project carried out by the ebiquity research group in the Computer Science and Electrical Engineering Department at the University of Maryland. It's an engine tailored towards finding documents on the semantic web. The whole research paper is available here. Semantic web is touted as the next generation of online content representation where the web documents are represented in a language that is not only easy for humans but is machine readable (easing the integration of data as never thought possible) as well. And the main elements of the semantic web include data model description formats such as Resource Description Framework (RDF), a variety of data interchange formats (e.g. RDF/XML, Turtle, N-Triples), and notations such as RDF Schema (RDFS), the Web Ontology Language (OWL), all of which are intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain (Wikipedia). And Swoogle is an attempt to mine and index this new set of web documents. The engine performs crawling of semantic documents like most web search engines and the search is available as web service too. The engine is primarily written in Java with the PHP used for the front-end and MySQL for database. Swoogle is capable of searching over 10,000 ontologies and indexes more that 1.3 million web documents. It also computes the importance of a Semantic Web document. The techniques used for indexing are the more google-type page ranking and also mining the documents for inter-relationships that are the basis for the semantic web. For more information on how the RDF framework can be used to relate documents, read the link here. Being a research project, and with a non-commercial motive, there is not much hype around Swoogle. However, the approach to indexing of Semantic web documents is an approach that most engines will have to take at some point of time. When the Internet debuted, there were no specific engines available for indexing or searching. The Search domain only picked up as more and more content became available. One fundamental question that I've always wondered about it is - provided that the search engines return very relevant results for a query - how to ascertain that the documents are indeed the most relevant ones available. There is always an inherent delay in indexing of document. Its here that the new semantic documents search engines can close delay. Experimenting with the concept of Search in the semantic web can only bore well for the future of search technology."

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