Search (229 results, page 1 of 12)

  • × theme_ss:"Suchmaschinen"
  1. Hancock, B.: Subject-specific search engines : using the Harvest system to gather and maintain information on the Internet (1998) 0.07
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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
    Object
    Index Antiquus
  2. Hüskes, R.; Kleber, D.: ¬Den Server im Griff (1999) 0.07
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    Date
    22. 8.1999 21:21:10
    Object
    Microsoft Index Server
  3. Fordahl, M.: Mit Google den PC durchforsten : Kleines Programm erstellt in rechenfreien Zeiten einen Index (2004) 0.06
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    Content
    "Die Google-Suche nach Dateien im Internet kann nun auch auf en eigenen PC ausgedehnt werden. Ein kleines kostenloses Programm, das sich am unteren Bildschirmrand einnistet, startet die Volltextsuche auf der Festplatte. Google erfasst den Inhalt aller Web-Seiten und Dokumente im Microsoft-Office-Format sowie die Namen sonstiger Dateien und zeigt die Trefferliste im Browser in der vertrauten Liste an - allerdings nur auf Computern mit Windows 2000 oder Windows XE Bei der Entwicklung dieses Werkzeugs hat Google sowohl die eigene Suchtechnologie als auch eine Schwäche von Windows ausgenutzt. Bei der "Desktop-Suche" kommt der gleiche Algorithmus zum Einsatz wie bei der Internet-Suche. Für die dazu benötigte Datenbank wird der Index-Dienst von Windows verwendet, der nur wenigen Anwendern bekannt ist, weil er etwas kompliziert und obendrein ziemlich langsam ist. Das neue Google Tool erstellt selbst diesen Suchindex für die Dateien in der Zeit, wenn der Computer gerade untätig ist. Sobald das 400 KB große Programm heruntergeladen und installiert ist, fängt es damit an, den PC zu durchforsten. Bei gut gefüllten Festplatten dauert es ein paar Stunden oder auch ein paar Tage, bis dieser Vorgang abgeschlossen ist. Sobald der Prozessor 30 Sekunden nichts zu tun hat, wird die Arbeit am Index aufgenommen beziehungsweise fortgesetzt. Ist er fertig, bietet diese Datenbank das Material, auf den sich der Google- Algorithmus stürzt, sobald eine Suchanfrage gestartet wird. Die meisten Google-Tricks für die Suche nach Web-Seiten, Bildern oder Beiträgen in Newsgroups funktionieren auch bei der Desktop-Suche."
    Date
    3. 5.1997 8:44:22
    Source
    Bergische Landeszeitung. Nr.247 vom 21.10.2004, S.22
  4. Ardo, A.; Lundberg, S.: ¬A regional distributed WWW search and indexing service : the DESIRE way (1998) 0.05
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    Abstract
    Creates an open, metadata aware system for distributed, collaborative WWW indexing. The system has 3 main components: a harvester (for collecting information), a database (for making the collection searchable), and a user interface (for making the information available). all components can be distributed across networked computers, thus supporting scalability. The system is metadata aware and thus allows searches on several fields including title, document author and URL. Nordic Web Index (NWI) is an application using this system to create a regional Nordic Web-indexing service. NWI is built using 5 collaborating service points within the Nordic countries. The NWI databases can be used to build additional services
    Date
    1. 8.1996 22:08:06
    Object
    Nordic Web Index
  5. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.05
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    Abstract
    Numerous studies have explored the possibility of uncovering information from web search queries but few have examined the factors that affect web query data sources. We conducted a study that investigated this issue by comparing Google Trends and Baidu Index. Data from these two services are based on queries entered by users into Google and Baidu, two of the largest search engines in the world. We first compared the features and functions of the two services based on documents and extensive testing. We then carried out an empirical study that collected query volume data from the two sources. We found that data from both sources could be used to predict the quality of Chinese universities and companies. Despite the differences between the two services in terms of technology, such as differing methods of language processing, the search volume data from the two were highly correlated and combining the two data sources did not improve the predictive power of the data. However, there was a major difference between the two in terms of data availability. Baidu Index was able to provide more search volume data than Google Trends did. Our analysis showed that the disadvantage of Google Trends in this regard was due to Google's smaller user base in China. The implication of this finding goes beyond China. Google's user bases in many countries are smaller than that in China, so the search volume data related to those countries could result in the same issue as that related to China.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
  6. Internet: The editor's choice (2004) 0.05
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    Abstract
    Googeln Sie zuweilen, um wissenschaftliche Publikationen zu finden? Dazu waren bislang recht präzise Suchanfragen nötig. um den hermeneutischen Aufwand, Spreu von Weizen zu trennen, in Grenzen zu halten - Namen alleine reichten etwa nicht. Seit neuestem bietet Google, in Zusammenarbeit rnit Verlagen, unter http://scholar.google.com/ eine auf wissenschaftliche Publikationen spezialisierte Version seiner Suchmaschine an. Das Motto: "Stand an the shoulders of giants." Obwohl noch als "beta" ausgewiesen. fallen erste Tests beeindruckend aus: umfassend und tatsächlich ausschliesslich auf wissenschaftliche Arbeiten beschränkt. Sortiert wird nach einem aus gegenseitiger Zitation gewonnenen Index, ähnlich zu Googles "Page Rank". Wenn sich diese Qualität halten und ausbauen lässt, haben wir die Geburtsstunde eines weiteren wichtigen Instruments wissenschaftlicher Literaturrecherche und -Versorgung erlebt.
    Date
    3. 1.2005 12:03:22
  7. 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/.
  8. Duval, B.K.; Main, L.: Searching the Internet : part 2 trail-blazers (1997) 0.04
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    Abstract
    Presents a guide to searching for information on the Internet covering Research-It; familiar quotations: a collection of passages, phrases and proverbs traced to their sources in ancient and modern literature by John Bartlett; the Internet Public Library Reference Center; SearchERIC Database; Britannica Online; Britannica's Lives; The complete works of William Shakespeare; Flicks/Movie Schedules and Reviews; the Electronic Newsstand; CNN Interactive; Time Warner's Pathfinder; Electronic Newspapers from all 50 States; Yahoo, News; Newspapers; Techweb; ZDNet; the On-line Books Page; Columbia University Bartleby Library; the Children's Literature Web Guide; National Institutes of Health; US Census Bureau; Earthquake Info; US Postal Service Zip+4 Lookup; the Federal Web Locator; World Wide Web Virtual Library; US Government Information Sources; Index of the Constitution of the US; US States Code; Find California Code; Dearch for Bills; California Tenant's Rights; The Online Career Center; QuickAID Home Page; City.Net; Netscape's Destinations Button; International Telephone Directory; World Alumni Net; Archives of Adoptees and Birth Parents; and World Wide Registry Matching Adoptees with Birth Parents
    Date
    6. 3.1997 16:22:15
  9. Jascó, P.: Péter's picks and pans : CiteBaseSearch, Institute of Physics Archive, and Google's index to scholarly archive (2004) 0.03
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  10. Bladow, N.; Dorey, C.; Frederickson, L.; Grover, P.; Knudtson, Y.; Krishnamurthy, S.; Lazarou, V.: What's the Buzz about? : An empirical examination of Search on Yahoo! (2005) 0.03
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    Abstract
    We present an analysis of the Yahoo Buzz Index over a period of 45 weeks. Our key findings are that: (1) It is most common for a search term to show up on the index for one week, followed by two weeks, three weeks, etc. Only two terms persist for all 45 weeks studied - Britney Spears and Jennifer Lopez. Search term longevity follows a power-law distribution or a winner-take-all structure; (2) Most search terms focus on entertainment. Search terms related to serious topics are found less often. The Buzz Index does not necessarily follow the "news cycle"; and, (3) We provide two ways to determine "star power" of various search terms - one that emphasizes staying power on the Index and another that emphasizes rank. In general, the methods lead to dramatically different results. Britney Spears performs well in both methods. We conclude that the data available on the Index is symptomatic of a celebrity-crazed, entertainment-centered culture.
  11. Lewandowski, D.: Perspektiven eines Open Web Index (2016) 0.03
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    Abstract
    Der Suchmaschinenmarkt wird seit vielen Jahren von nur einer einzigen Suchmaschine, Google, dominiert. Es wurde mittlerweile erkannt, dass diese Situation nicht wünschenswert ist. Wir sprechen nun über mögliche Lösungen. Der Artikel diskutiert unterschiedliche Lösungsansätze und fokussiert dabei auf die Idee einen Offenen Web-Index (OWI), der als öffentliche Infrastruktur verfügbar gemacht werden soll. Die Grundidee ist die Trennung von Datenbestand (Index) und darauf aufsetzenden Diensten, welche in großer Zahl in privater Initiative betrieben werden können. Es geht also darum, die Basis für Vielfalt zu schaffen.
  12. Leighton, H.V.: Performance of four World Wide Web (WWW) index services : Infoseek, Lycos, WebCrawler and WWWWorm (1995) 0.03
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  13. Koch, T.: Searching the Web : systematic overview over indexes (1995) 0.03
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    Object
    Nordic Web Index
  14. Collier, H.: Needles in electronic haystacks (1996) 0.03
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    Abstract
    Briefly comments on the main features of the HotBot WWW search engine, which claims to index 53 million web pages, and uses the Inktomi search engine on an interface designed by HotWired
  15. Ardö, A.; Koch, T.: Automatic classification applied to full-text Internet documents in a robot-generated subject index (1999) 0.03
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  16. Schulz, W.; Held, T.: ¬Der Index auf dem Index? : Selbstzensur und Zensur bei Suchmaschinen (2007) 0.03
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    Abstract
    Suchmaschinen gelten als Gatekeeper in der öffentlichen Kommunikation. Zumindest für bestimmte Typen von Seitenaufrufen stellen Suchmaschinen den mit Abstand häufigsten Weg des Zugangs zu Internet-Inhalten dar. Deshalb können Beeinflussungen des Index von Suchmaschinen oder der Algorithmen, die die Ergebnislisten steuern, als hochsensibler Eingriff in die Internet-basierte Kommunikation angesehen werden. Dies lenkt die Aufmerksamkeit auf die >Policies< der Suchmaschinenanbieter, auch im Hinblick auf externe Anforderungen, die etwa von Nationalstaaten an sie gerichtet werden. Vor allem der Anbieter Google ist in die Kritik geraten, weil er in seinem Angebot in China Seiten aus dem Index löscht, die von der chinesischen Regierung als staatsgefährdend angesehen werden. Google beruft sich darauf, nur die dortigen Gesetze zu befolgen. Auch in Deutschland werden Seiten gefiltert. In der Internetgemeinde ist dann schnell das Wort >Zensur< zu hören. Im Folgenden soll der Frage nachgegangen werden, wann nach deutschem Verständnis von Zensur gesprochen werden kann. Dabei soll deutlich werden, wo Unterschiede in den nationalstaatlichen Politiken, aber auch bei den Kooperationen der Suchmaschinenanbieter mit den Nationalstaaten bestehen.
  17. Raeder, A.: Cataloguing the Web (1995) 0.02
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    Abstract
    Lists and describes sites that attempt to aid Internet searchers by helping them locate sites, files or information. Gives an overview of the methods used. Covers the following sides: Aliweb, ArchiPlex Archie Gateway, CUI W3, Clearing House for Subject Oriented Internet Resource Guide, InfoSeek, JumpStation, Lawrence Livermore National Laboratories List of Lists, Lycos WWW Search Engine, Mother of all BBSs, NIKOS, Plant Earth Home Page, Standford Newnews Filtering Service, WWW Home Page Harvest Browser, WWW virtual Library, WWW Wanderer Index, WWW Worm, Web Crawler, Whole Internet Catalog, and Yahoo Index to the Internet
  18. Kimmel, S.: Robot-generated databases on the World Wide Web (1996) 0.02
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    Abstract
    WWW robots are programs that attempt to gather and index WWW resources. They reside on a host computer and retrieve information from sites on the WWW using standrad protocols. Gives an overview of robots, and robot generated databases. Covers: WWW Worm; Lycos, WebCrawler; AliWeb; Harvest; Jumpstation II, and Open Text Index. Also discusses Yahoo and Trade Wave which are comparable tools for resource discovery
  19. Moody, G.: Searching the Web for gigabucks (1996) 0.02
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    Abstract
    Following the success of Netscape, the software used to search the WWW, predicts that the next generation of web search engines will emerge from the ranks of a new class of Internet company. Discusses the challenges facing search engines in indexing the vast quantities of data available and growing on the WWW and the use of spiders, crawlers and worms. Notes that, while AltaVista can index 2,5 million web pages a day, a revised Inktomi search engine will be able to index 10 million pages per day
  20. Jezior, T.: Adaption und Integration von Suchmaschinentechnologie in mor(!)dernen OPACs (2013) 0.02
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    Content
    Vgl.: http://publiscologne.th-koeln.de/frontdoor/index/index/docId/234

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