Search (160 results, page 1 of 8)

  • × theme_ss:"Suchmaschinen"
  1. Garcés, P.J.; Olivas, J.A.; Romero, F.P.: Concept-matching IR systems versus word-matching information retrieval systems : considering fuzzy interrelations for indexing Web pages (2006) 0.10 
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    Abstract
    This article presents a semantic-based Web retrieval system that is capable of retrieving the Web pages that are conceptually related to the implicit concepts of the query. The concept of concept is managed from a fuzzy point of view by means of semantic areas. In this context, the proposed system improves most search engines that are based on matching words. The key of the system is to use a new version of the Fuzzy Interrelations and Synonymy-Based Concept Representation Model (FIS-CRM) to extract and represent the concepts contained in both the Web pages and the user query. This model, which was integrated into other tools such as the Fuzzy Interrelations and Synonymy based Searcher (FISS) metasearcher and the fz-mail system, considers the fuzzy synonymy and the fuzzy generality interrelations as a means of representing word interrelations (stored in a fuzzy synonymy dictionary and ontologies). The new version of the model, which is based on the study of the cooccurrences of synonyms, integrates a soft method for disambiguating word senses. This method also considers the context of the word to be disambiguated and the thematic ontologies and sets of synonyms stored in the dictionary.
    Date
    22. 7.2006 17:14:12
  2. Sieverts, E.: Slimmerds onder de zoekmachines (1998) 0.09 
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    Abstract
    Web search engines generally use best match search techniques, rather than traditional Boolean operators. Precision in searching will depend on the numbers of selected terms appearing in a document and the inclusion of less-common words in the search string. Users are, therefore, recommended to enter as many words as possible. ExCite and WebCrawler lead users from a relevant document to other documents containing similar word patterns, while MusCat and EuroFerret suggest additional keywords for searching
    Date
    29.12.1998 11:22:34
  3. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.04 
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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/.
  4. Google findet Office-Dateien (2001) 0.03 
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    Abstract
    Die Suchmaschine Google nimmt sich nun auch Office-Dokumente vor: Auf Anweisung in den erweiterten Einstellungen erkennt sie Microsoft Word, Powerpoint und Excel-Dateien sowie Texte in RTF und Postscript. Google kann die Fundstücke in das HTML-Format übersetzen und im Web-Browser anzeigen. Das erspart die Installation der Anwendungen und schützt vor Macro-Viren. Allerdings bereiten die Umlaute noch Probleme
  5. Powell, J.; Fox, E.A.: Multilingual federated searching across heterogeneous collections (1998) 0.03 
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    Abstract
    This article describes a scalable system for searching heterogeneous multilingual collections on the World Wide Web. It details a markup language for describing the characteristics of a search engine and its interface, and a protocol for requesting word translations between languages.
  6. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.03 
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  7. Höfer, W.: Detektive im Web (1999) 0.03 
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    Date
    22. 8.1999 20:22:06
  8. Rensman, J.: Blick ins Getriebe (1999) 0.03 
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    Date
    22. 8.1999 21:22:59
  9. Jörn, F.: Wie Google für uns nach der ominösen Gluonenkraft stöbert : Software-Krabbler machen sich vor der Anfrage auf die Suche - Das Netz ist etwa fünfhundertmal größer als alles Durchforschte (2001) 0.03 
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    Abstract
    Ohne das Internet ist heute das Wissen der Welt kaum mehr vorstellbar - und ohne Suchmaschinen wäre es nicht auffindbar. Freilich steht nicht alles Wissen im Word Wide Web. Und erst recht nicht ist es dort zu finden, nicht einmal von dieser) technischen Wunderwerken, den Suchmaschinen, die uns dabei helfen. In den sechziger Jahren entstand Hypertext als eine einheitliche Darstellung und Verknüpfung von elektronischen Dokumenten. Im Jahr 1980 empfahl Tim Berners-Lee dem Genfer Kernforschungszentrum Cern einheitliche Verweise zwischen Dokumenten, sogenannte Links. Zu Weihnachten 1990 schrieb er dort den ersten Browser und erfindet damit das World Wide Web. Am 15. Dezember 1995 ging Altavista in Palo Alto ans Netz. Als wir hier einige Monate später über diese Suchmaschine berichteten, schätzten wir damals 30 Millionen Seiten im Interne. Inzwischen mag es da 300 Milliarden Dateien geben, wie viele, weiß keiner, nicht einmal die größte Suchmaschine. Die Technik der Suchmaschinen ist gleich geblieben. Sie suchen die Inhalte vorher, vor der Abfrage, mit Software, den "Krabblern", einer Erfindung des Franzosen Louis Monier. Die machen eine Liste aller vorkommenden Wörter und krabbeln dann, Link um Link, zu weiteren Seiten, von Datei zu Datei, von Domane zu Domäne, von Kontinent zu Kontinent. Wie genau die invertierten Dateien aussehen, die sie erzeugen, wie groß sie sind, wie dort Worthäufigkeit oder Stellung des Treffers auf der durchforschten Seite gespeichert ist - wichtig beim Sortieren der Ergebnisse -, wie daraus später geschlossene Wortgruppen herausgeholt werden, bleibt ein Betriebsgeheimnis. Einen kleinen Einblick gab uns Guido Adam, Technikchef der deutschen Suchmaschine Infoseek. In dieser Auskunftei mit 35 festen und noch einmal so vielen freien Mitarbeitern sind neun für den Katalog tätig. Die Rechner stehen in Darmstadt. In 19-Zoll-Gestellen laufen hinter Plexiglas sechs Krabbler-PCs mit 3 bis 8 Gigabyte (GB) Ram-Speicher und je hundert Krabbelprogrammen. Sie sind mit 640 Megabit je Sekunde ans Internet angeschlossen. Ihr Ziel: Wenigstens einmal mönatlich 30 Millionen deutsche Dateien besuchen. Erkennen sie häufig wechselnde Inhalte, kommen sie öfter vorbei; für ganz Aktuelles wie Zeitungsberichte gibt es Sondersucher, die notfalls stündlich nachlesen. Zwei weitere Maschinen bauen immerfort neue Indizes und legen die Ergebnisse in einem Speicher-Server mit brutto 5 Terabyte (5 mal 10**12 Byte) ab. Der Index - jeweils rund 350 GB - wird fünffach gehalten, damit Anfragen blitzschnell - in etwa einer Sekunde - von drei weiteren Maschinen beantwortet werden können. Index-"Instanz" Nummer vier ist Reserve und die fünfte im Aufbau.
    Es gibt riesige Inseln nach außen nicht verlinkter Dateien, es gibt Formate, die dem HTML-Standard nicht entsprechen und von Suchmaschinen nicht oder ungern gelesen werden, von Word-Dokumenten bis zu PDF-Dateien (Google durchkämmt sie und speichert sie zum schnellen Uberblick und vorteilhaft kopierbar als Textdateien!), Tabellen und Folienvorträge, Gedcom-Stammbäume, vor allem aber Bilder, Filme, Musik, die sich nur schwer elektronisch katalogisieren lassen. Haben Suchmaschinen Zeit, mit künstlicher Intelligenz herauszufinden, ob auf einem Bild eine Person ist? Und wenn, wer mag es sein? Infoseek bemüht sich in einer eigenen Bildersuche darum, kann allerdings auch kein Konterfei von Luis Trenker oder Toni Sailer herbeizaubern, wogegen "Luis Trenker Bild", besonders bei Google, zum Foto führt. "Britney Spears" strahlt einem gleich entgegen! Wenn Bilder beliebig benannt werden, bleiben sie unauffindbar. MP3-Dateien enthalten oft maschinenlesbar den Titel in der Musikdatei - eine große Hilfe für Suchmaschinen. Neue Webformate wie Macromedia Flash, dem Internet-Veteranen ohnehin ein Graus, vernebeln das in ihrem Troß Folgende. Und bietet eine Internetseite eine eigene Datenbanksuche an, dann bleibt diese Datenbank vor Suchmaschinen verborgen, von Telefonnummern und Zügen bis zu Artikeln dieser Zeitung. Zuvorkommender ist es, die Inhalte in Hypertext ins Netz zu stellen - für die Suchmaschinen und zusätzlich manuell darin suchen zu lassen. Suchmaschinen wie Freefind oder Atomz bieten das kostenlos an. Grundsätzlich können Suchmaschinen kostenpflichtige Inhalte nicht durchkämmen. So wie sich die olympische Idee inzwischen den Profis gebeugt hat, besteht auch im Internet die Gefahr, daß es immer kommerzieller zugeht. Ein Musterbeispiel sind WapInhalte für mobile Betrachter, die im Gegensatz zu HTML-Seiten nicht systematisch von einem Domänennamen her über Links erreichbar sind. Wap-Suchmaschinen weisen also nur angemeldete Seiten nach und spielen eine untergeordnete Rolle. Viel lieber schleusen die Mobilfunkanbieter ihre Kunden über Portale. Zollund Zahlgrenzen, Partikularismus zerstören das Netz. Beim japanischen Imode, mit HTML kompatibel, ist das anders; selbst Google bietet über www.google.com/imode Suche an, hat dann aber Mühe, Imode-Inhalte (in cHTML, compact HTML) von HTML zu unterscheiden. Grundsätzlich ist die Rivalität zwischen Internet-Portalen mit ihrer Zugangsführung und Suchmaschinen für Quereinsteiger noch nicht ausgefochten. Noch aus der Vor-Web-Zeit stammen Diskussionsforen. Dort werden zu bestimmten Themen Meinungen ausgetauscht, - moderiert oder wildwachsend.
    Date
    22. 6.2005 9:52:00
  10. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.03 
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    Date
    27.11.2005 18:04:22
  11. Wang, P.; Berry, M.W.; Yang, Y.: Mining longitudinal Web queries : trends and patterns (2003) 0.03 
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    Abstract
    This project analyzed 541,920 user queries submitted to and executed in an academic Website during a four-year period (May 1997 to May 2001) using a relational database. The purpose of the study is three-fold: (1) to understand Web users' query behavior; (2) to identify problems encountered by these Web users; (3) to develop appropriate techniques for optimization of query analysis and mining. The linguistic analyses focus an query structures, lexicon, and word associations using statistical measures such as Zipf distribution and mutual information. A data model with finest granularity is used for data storage and iterative analyses. Patterns and trends of querying behavior are identified and compared with previous studies.
  12. Bilal, D.: Ranking, relevance judgment, and precision of information retrieval on children's queries : evaluation of Google, Yahoo!, Bing, Yahoo! Kids, and ask Kids (2012) 0.03 
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    Abstract
    This study employed benchmarking and intellectual relevance judgment in evaluating Google, Yahoo!, Bing, Yahoo! Kids, and Ask Kids on 30 queries that children formulated to find information for specific tasks. Retrieved hits on given queries were benchmarked to Google's and Yahoo! Kids' top-five ranked hits retrieved. Relevancy of hits was judged on a graded scale; precision was calculated using the precision-at-ten metric (P@10). Yahoo! and Bing produced a similar percentage in hit overlap with Google (nearly 30%), but differed in the ranking of hits. Ask Kids retrieved 11% in hit overlap with Google versus 3% by Yahoo! Kids. The engines retrieved 26 hits across query clusters that overlapped with Yahoo! Kids' top-five ranked hits. Precision (P) that the engines produced across the queries was P = 0.48 for relevant hits, and P = 0.28 for partially relevant hits. Precision by Ask Kids was P = 0.44 for relevant hits versus P = 0.21 by Yahoo! Kids. Bing produced the highest total precision (TP) of relevant hits (TP = 0.86) across the queries, and Yahoo! Kids yielded the lowest (TP = 0.47). Average precision (AP) of relevant hits was AP = 0.56 by leading engines versus AP = 0.29 by small engines. In contrast, average precision of partially relevant hits was AP = 0.83 by small engines versus AP = 0.33 by leading engines. Average precision of relevant hits across the engines was highest on two-word queries and lowest on one-word queries. Google performed best on natural language queries; Bing did the same (P = 0.69) on two-word queries. The findings have implications for search engine ranking algorithms, relevance theory, search engine design, research design, and information literacy.
  13. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.03 
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    Date
    22. 6.2002 19:40:22
  14. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.03 
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
  15. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.03 
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    Date
    25. 8.2005 17:42:22
  16. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.03 
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    Date
    3. 5.1997 8:44:22
  17. Dunning, A.: Do we still need search engines? (1999) 0.03 
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    Source
    Ariadne. 1999, no.22
  18. Bawden, D.: Google and the universe of knowledge (2008) 0.03 
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    Date
    7. 6.2008 16:22:20
  19. Poynder, R.: Web research engines? (1996) 0.02 
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    Abstract
    Describes the shortcomings of search engines for the WWW comparing their current capabilities to those of the first generation CD-ROM products. Some allow phrase searching and most are improving their Boolean searching. Few allow truncation, wild cards or nested logic. They are stateless, losing previous search criteria. Unlike the indexing and classification systems for today's CD-ROMs, those for Web pages are random, unstructured and of variable quality. Considers that at best Web search engines can only offer free text searching. Discusses whether automatic data classification systems such as Infoseek Ultra can overcome the haphazard nature of the Web with neural network technology, and whether Boolean search techniques may be redundant when replaced by technology such as the Euroferret search engine. However, artificial intelligence is rarely successful on huge, varied databases. Relevance ranking and automatic query expansion still use the same simple inverted indexes. Most Web search engines do nothing more than word counting. Further complications arise with foreign languages
  20. Ding, Y.; Chowdhury, G.; Foo, S.: Organsising keywords in a Web search environment : a methodology based on co-word analysis (2000) 0.02 
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Authors

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