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  • × theme_ss:"Suchmaschinen"
  1. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.28
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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. Koch, T.: Searching the Web : systematic overview over indexes (1995) 0.07
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    Pages
    S.29-61
    Source
    Wissen in elektronischen Netzwerken: Strukturierung, Erschließung und Retrieval von Informationsressourcen im Internet. Eine Auswahl von Vorträgen der 19. Jahrestagung der Gesellschaft für Klassifikation, Basel 1995. Hrsg.: H.-C. Hobohm u. H.-J. Wätjen
  3. Hübener, M.: Suchmaschinenoptimierung kompakt : anwendungsorientierte Techniken für die Praxis (2009) 0.04
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    Content
    Einleitung - Grundlagen - Die Funktionsweise der Suchmaschinen - Die Besonderheiten der Suchmaschine Google - Multimedia im World Wide Web - Die Strukturierung einer Internetpräsenz - Der 9-Punkte-Optimierungsplan - Die Anwendung des Optimierungsplans am Beispiel www.still.de - Zusammenfassung
    RSWK
    Suchmaschine / Information-Retrieval-System / Optimierung
    Subject
    Suchmaschine / Information-Retrieval-System / Optimierung
  4. Weichselgartner, E.; Baier, C.: Sechs Jahre PsychSpider : Aus der Praxis des Betriebs einer Psychologie-Suchmaschine für freie Web-Inhalte (2007) 0.04
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    Abstract
    Seit Sommer 2000 betreibt das Zentrum für Psychologische Information und Dokumentation (ZPID) den PsychSpider, eine Spezialsuchmaschine für wissenschaftliche Inhalte zur Psychologie. Der PsychSpider ist vorwiegend eine Websuchmaschine, aber auch strukturierte bibliographische Daten werden indiziert. Gegenwärtig bietet der PsychSpider den integrierten Zugang zu ca. 800.000 Dokumenten aus dem Surface Web und dem Deep Web. Die Suchmaschine verfügt über zahlreiche fortschrittliche Merkmale wie Boolesche Operatoren, natürlichsprachige Eingaben, "Query-by-Example", Relevanzbewertung der Resultate, Strukturierung des Datenbestands in unterschiedliche Kollektionen, im- und exportierbare Indexe, parametrische Suche und automatische Kategorisierung. Die mehrjährige Erfahrung zeigt, dass auch eine Technologie, die eigentlich dazu dienen sollte, möglichst automatisch die relevanten Informationen aus den Myriaden von Dokumenten im Internet herauszufischen, umfängliche menschliche Betreuung braucht. Das liegt an der formalen und inhaltlichen Qualität von Inhalten, aber auch an technologischen Faktoren wie zum Beispiel Content Management Systemen. Die Nutzung des PsychSpider ist über die Jahre kontinuierlich gewachsen und er gehört zu den erfolgreichsten Web-Angeboten des ZPID. Aus strategischer Sicht ist eine nach den Kriterien einer wissenschaftlichen Fachinformationseinrichtung betriebene Suchmaschine unverzichtbar und der weitere Ausbau wird die Attraktivität deutlich erhöhen.
    Source
    Information - Wissenschaft und Praxis. 58(2007) H.3, S.173-178
  5. Machill, M.; Neuberger, C.; Schweiger, W.; Wirth, W.: Wegweiser im Netz : Qualität und Nutzung von Suchmaschinen (2004) 0.03
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    Abstract
    Das Internet ist ein Kosmos an Informationen aller Art. Zwar sind die Antworten auf Abermillionen Fragen vorhanden, doch stehen Nutzer vor der Aufgabe, diese auch zu finden. Eine zentrale Rolle spielen dabei Suchmaschinen. Beim Wiederauffinden von Informationen, dem so genannten Information Retrieval, handelt es sich um ein relativ gut erforschtes Feld. Die Forschung konzentrierte sich allerdings lange auf die Frage nach dem Wiederauffinden von Informationen in gut strukturierten Datenbanken. Bis zum Aufkommen des World Wide Web war kaum an eine große Datenkollektion zu denken, die höchst unterschiedlich strukturierte Dokumente enthielt. Hinsichtlich ihrer Strukturierung lassen sich Dokumente in drei Klassen ordnen: strukturiert, unstrukturiert und schwach strukturiert. Im Bereich der professionellen Datenbanken liegen die Informationen in strukturierter Form vor: Dokumente sind in Felder geteilt, die sich gezielt durchsuchen lassen. Zusätzliche Felder enthalten in der Regel Informationen über das Dokument wie beispielsweise den Namen des Autors, das Publikationsdatum oder die Namen von im Text behandelten Personen. So lässt sich beispielsweise die Anfrage nach allen Artikeln eines bestimmten Autors in einer Zeitungsdatenbank einfach und klar beantworten. Bei Web-Dokumenten kann die Suche nicht klar eingeschränkt werden, da nicht unterschieden werden kann, ob es sich bei dem Vorkommen des eingegebenen Namens um den Autor oder eine im Text behandelte Person handelt. Bei unstrukturierten Dokumenten handelt es sich schlicht um Fließtext, dessen formale Gestaltung keinerlei Rückschlüsse auf Meta-Informationen oder Textstellen von besonderer Bedeutung zulässt.
    Bei HTML-Dokumenten im World Wide Web handelt es sich um schwach strukturierte Dokumente. Zwar findet keine Trennung in Feldinhalte statt, jedoch lassen sich aus Struktur- und Gestaltungsinformationen, die dem Dokument mittels der HTMLTags beigegeben werden, Rückschlüsse auf bedeutende und weniger bedeutende Textstellen ziehen. Eine zweite Herausforderung an die Information-RetrievalForschung ist schilicht die Größe des World Wide Web. Im Umfeld der professionellen Informationsvermittlung ist es von besonderem Interesse, die Informationen eines bestimmten Bereichs in einer Datenbank zu kumulieren. Natürlich wachsen diese themenbezogenen Datenbanken auch stetig an, das Volumen bleibt jedoch bei einigen Millionen Dokumenten noch »überschaubar«. Im Gegensatz dazu steht das World Wide Web. Zwar kann seine Größe nicht genau ermittelt werden, Schätzungen gehen jedoch inklusive der Invisible-Web-Inhalte von etwa zwölf Milliarden Dokumenten bis 550 Milliarden Dokumenten aus (vgl. Bergman 2001). Der dritte wichtige Punkt, der Information Retrieval in Datenbanken von dem im Internet unterscheidet, ist die Frage nach der Zuverlässigkeit der angebotenen Informationen. Während bei Datenbanken die Auswahl der aufgenommenen Informationen oft noch durch einen menschlichen Indexierer erfolgt, nehmen Suchmaschinen potenziell alle von ihnen aufgefundenen Dokumente in ihren Datenbestand auf.
  6. Bekavac, B.: Metainformationsdienste des Internet (2004) 0.02
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    Abstract
    Auf der anderen Seite stehen Benutzer, die nach Eingabe weniger Suchbegriffe von den Suchmaschinen wahre Wunder in Form von relevanten Dokumenten erwarten. Jedoch ist die Dokumentmenge, die zu den eingegebenen Suchbegriffen passt, nicht selten so groß, dass es für die Benutzer zu aufwändig wäre sich alles anzuschauen. Die von den Suchmaschinen angewandten Sortierverfahren (Ranking), welche versuchen die relevantesten Dokumente unter den ersten Plätzen der Ergebnisseiten zu platzieren, scheitern zu oft an der großen "Ähnlichkeit" der Dokumente. Alternativ zu den Suchmaschinen können auch Web-Kataloge bzw. -Verzeichnisse verwendet werden, über die ganz bestimmte Interessensgebiete gezielt angesteuert werden können. Der größte Vorteil hierbei ist sicherlich der Kontext der gefundenen Informationen, der sich durch die ausgewählten Rubriken und Sachgebiete während der Navigation widerspiegelt. Nachteilig ist die sehr geringe Abdeckung des weltweiten Informationsraumes, da Kataloge im Gegensatz zu den Suchmaschinen die Quell-Informationen nicht automatisiert beziehen. Ganz anders hingegen Meta-Suchdienste, die selbst weder einen eigenen Index besitzen noch sich Gedanken über eine inhaltliche Strukturierung des Internet machen. Sie befragen ganz einfach andere Metainformationsdienste verschiedenster Art und sehen ihre Leistung in der benutzergerechten Zusammenführung der erhaltenen Treffermengen. Auch wenn die Suchoberflächen der im Internet befindlichen Suchdienste in der Regel mehrere der hier genannten Suchmöglichkeiten anbieten, die dahinter verborgenen Suchverfahren, vor allem die Gewinnung von Metainformationen, sind recht unterschiedlich.
    Source
    Grundlagen der praktischen Information und Dokumentation. 5., völlig neu gefaßte Ausgabe. 2 Bde. Hrsg. von R. Kuhlen, Th. Seeger u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried. Bd.1: Handbuch zur Einführung in die Informationswissenschaft und -praxis
  7. Marchiori, M.: ¬The quest for correct information on the Web : hyper search engines (1997) 0.02
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    Abstract
    Presents a novel method to extract from a web object its hyper informative content, in contrast with current search engines, which only deal with the textual information content. This method is not only valuable per se, but it is shown to be able to considerably increase the precision of current search engines. It integrates with existing search engine technology since it can be implemented on top of every search engine, acting as a post-processor, thus automatically transforming a search engine into its corresponding hyper version. Shows how the hyper information can be usefully employed to face the search engines persuasion problem
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1225-1235
  8. Hancock, B.: Subject-specific search engines : using the Harvest system to gather and maintain information on the Internet (1998) 0.02
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    Abstract
    The increasing expansion of the Internet has made resources available to users in sometimes unmanageable abundance. To help users manage this proliferation of information, librarians have begun to add URLs to their home pages. As well, specialized search engines are being used to retrieve information from selected sources in aneffort to return pertinent results. Describes the Harvest system which has been used to develop Index Antiquus, a specialized engine, for the classics and mediaeval studies. Presents a working example of how to search Index Antiquus
    Date
    6. 3.1997 16:22:15
    5. 3.1999 19:29:26
  9. Carrière, S.J.; Kazman, R.: Webquery : searching and visualising the Web through connectivity (1997) 0.02
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    Abstract
    The WebQuery system offers a powerful new method for searching the Web based on connectivity and content. Examines links among the nodes returned in a keyword-based query. Rankes the nodes, giving the highest rank to the most highly connected nodes. By doing so, finds hot spots on the Web that contain information 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 highly connected to those sites returned by the original query. Even with WebQuery filering and ranking query results, the result set can be enormous. Explores techniques for visualizing the returned information and discusses the criteria for using each of the technique
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1257-1267
  10. 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
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1181-1191
  11. Sherman, C.: Reference resources on the Web (2000) 0.01
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    Abstract
    Evaluation of AskJeeves, Electric Library and Information Please as questions answering search engines
    Date
    29. 3.2002 17:49:46
    Object
    Information Please
  12. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.01
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    Date
    22. 6.2002 19:40:22
    Source
    Online information review. 24(2000) no.1, S.59-63
    Theme
    Information Gateway
  13. Feldman, S.: New study of Web search engine coverage published (1999) 0.01
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    Source
    Information today. 16(1999) no.8, S.29
  14. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.01
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    Date
    25. 8.2005 17:42:22
    Source
    Library and information research news. 24(2000) no.77, S.30-34
  15. Sauer, D.: Alles schneller finden (2001) 0.01
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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
  16. Price, A.: Five new Danish subject gateways under development (2000) 0.01
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    Content
    Subject gateways zu den Bereichen: Business economics - The virtual music library - clinical information - food science and food technology - energy technology
    Date
    22. 6.2002 19:41:31
    Source
    Online information review. 24(2000) no.1, S.84
    Theme
    Information Gateway
  17. Heery, R.: Information gateways : collaboration and content (2000) 0.01
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    Abstract
    Information subject gateways provide targeted discovery services for their users, giving access to Web resources selected according to quality and subject coverage criteria. Information gateways recognise that they must collaborate on a wide range of issues relating to content to ensure continued success. This report is informed by discussion of content activities at the 1999 Imesh Workshop. The author considers the implications for subject based gateways of co-operation regarding coverage policy, creation of metadata, and provision of searching and browsing across services. Other possibilities for co-operation include working more closely with information providers, and diclosure of information in joint metadata registries
    Date
    22. 6.2002 19:38:54
    Source
    Online information review. 24(2000) no.1, S.40-45
    Theme
    Information Gateway
  18. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.01
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    Date
    22. 2.1997 19:50:29
  19. Ke, W.: Decentralized search and the clustering paradox in large scale information networks (2012) 0.01
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    Abstract
    Amid the rapid growth of information today is the increasing challenge for people to navigate its magnitude. Dynamics and heterogeneity of large information spaces such as the Web raise important questions about information retrieval in these environments. Collection of all information in advance and centralization of IR operations are extremely difficult, if not impossible, because systems are dynamic and information is distributed. The chapter discusses some of the key issues facing classic information retrieval models and presents a decentralized, organic view of information systems pertaining to search in large scale networks. It focuses on the impact of network structure on search performance and discusses a phenomenon we refer to as the Clustering Paradox, in which the topology of interconnected systems imposes a scalability limit.
    Pages
    S.29-46
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  20. Anderson, R.: ¬The (uncertain) future of libraries in a Google world : sounding an alarm (2005) 0.01
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    Abstract
    Libraries are in competition with other entities that provide information access to students, scholars and the general public. This constitutes a radical change in the information environment. The library profession's failure to take seriously the change that has taken place in the information environment, and to respond with fundamental changes of its own, may well spell disaster for the library as we know it.
    Pages
    S.29-36

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