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Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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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/.
-
Mindlin, A.: ¬The pursuit of knowledge, from Babel to Google (2004)
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- "MONDION, France - One warm afternoon in the late 19th century, two middle-aged office clerks met an the same bench of the Boulevard Bourdon in Paris and, immediately became the best of friends. Bouvard and Pécuchet (the names Gustave Flaubert gave to his two comic heroes) discovered through their friendship a common purpose: the pursuit of universal knowledge: To achieve this ambitious goal, they attempted to read every thing they could find on every branch of human endeavor and, from their readings, cull the most outstanding facts and ideas. Flaubert's death in 1880 put an end to their enterprise, which was in essence endiess, but not before the two brave explorers had read their way through many learned volumes an agriculture, literature, animal husbandry, medicine, archeology and politics, always with disappointing results. What Flaubert's two Clowns discovered is what we have always known but seldom believed: that the accumulation of knowledge isn't knowledge. The desire to know everything an earth and in heaven is so ancient that one of the earliest accounts of this ambition is already a cautionary-tale. According to the 11th chapter of Genesis, after the Flood, the people of the earth journeyed east, to the land of Shinar, and decided to build a City and a tower that would reach the heavns. According to the Sanhedrin (the council of Jewish elders set up in Jerusalem in the first century), the place rohere the tower once rose never lost its peculiar quality and whoever passes it forgets all he knows. Years ago, I was shown a small hill of rubble outside the walls of Babylon and told that this was all that remained of Babel.
-
Bar-Ilan, J.: ¬The use of Web search engines in information science research (2003)
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- Abstract
- The World Wide Web was created in 1989, but it has already become a major information channel and source, influencing our everyday lives, commercial transactions, and scientific communication, to mention just a few areas. The seventeenth-century philosopher Descartes proclaimed, "I think, therefore I am" (cogito, ergo sum). Today the Web is such an integral part of our lives that we could rephrase Descartes' statement as "I have a Web presence, therefore I am." Because many people, companies, and organizations take this notion seriously, in addition to more substantial reasons for publishing information an the Web, the number of Web pages is in the billions and growing constantly. However, it is not sufficient to have a Web presence; tools that enable users to locate Web pages are needed as well. The major tools for discovering and locating information an the Web are search engines. This review discusses the use of Web search engines in information science research. Before going into detail, we should define the terms "information science," "Web search engine," and "use" in the context of this review.
-
Libraries and Google (2005)
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- LCSH
- Libraries / Forecasting
- Subject
- Libraries / Forecasting
-
Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996)
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- Date
- 7. 2.1996 22:38:41
- Pages
- 22 S
-
Höfer, W.: Detektive im Web (1999)
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- Date
- 22. 8.1999 20:22:06
-
Rensman, J.: Blick ins Getriebe (1999)
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- Date
- 22. 8.1999 21:22:59
-
Stock, M.; Stock, W.G.: Recherchieren im Internet (2004)
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- Date
- 27.11.2005 18:04:22
-
Choo, C.W.; Detlor, B.; Turnbull, D.: Information seeking on the Web : an integrated model of browsing and searching (1999)
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- Abstract
- The paper presents findings from a study of how knowledge workers use the Web to seek external information as part of their daily work. Thirty four users from seven companies took part in the study. Participants were mainly IT specialists, managers, and research/marketing/consulting staff working in organizations that included a large utility company, a major bank, and a consulting firm. Participants answered a detailed questionnaire and were interviewed individually in order to understand their information needs and information seeking preferences. A custom-developed WebTracker Software application was installed an each of their workplace PCs, and participants' Web-use activities were then recorded continuously during two-week periods. The WebTracker recorded how participants used the browser to seek information an the Web: it logged menu choices, button bar selections, and keystroke actions, allowing browsing and searching sequences to be reconstructed. In a second round of personal Interviews, participants recalled critical incidents of using information from the Web.Data from the two Interviews and the WebTracker logs constituted the database for analysis. Sixty one significant episodes of Information seeking were identified. A model was developed to describe the common repertoires of Information seeking that were observed. On one axis of the model, episodes were plotted according to the four scanning modes identified by Aguilar (1967), Weick and Daft (1983): undirected viewing, conditioned viewing, informal search, and formal search. Each mode is characterized by its own Information needs and Information seeking strategies. On the other axis of the model, episodes were plotted according to the occurence of one or more of the six categories of information seeking behaviors identified by Ellis (1989, 1990): starting, chaining, browsing, differentiating, monitoring, and extracting. The study suggests that a behavioral framework that relates motivations (Aguilar) and moves (Ellis) may be helpful in analysing patterns of Web-based Information seeking
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Korves, J.: Seiten bewerten : Googles PageRank (2005)
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- Abstract
- Mit der Entstehung des World Wide Web im Jahre 1989 und dem darauf folgenden rasanten Anstieg der Zahl an Webseiten, kam es sehr schnell zu der Notwendigkeit, eine gewisse Ordnung in die Vielzahl von Inhalten zu bringen. So wurde schon im Jahre 1991 ein erster Vorläufer der heutigen Websuchmaschinen namens Gopher entwickelt. Die Struktur von Gopher, bei der zunächst alle Webseiten katalogisiert wurden, um anschließend komplett durchsucht werden zu können, war damals richtungweisend und wird auch heute noch in den meisten anderen Websuchmaschinen verwendet. Von damals bis heute hat sich sehr viel am Markt der Suchmaschinen verändert. Seit dem Jahre 2004 gibt es nur mehr drei große Websuchmaschinen, bezogen auf die Anzahl erfasster Dokumente. Neben Yahoo! Search und Microsofts MSN Search ist Google die bisher erfolgreichste Suchmaschine der Welt. Dargestellt werden die Suchergebnisse, indem sie der Relevanz nach sortiert werden. Jede Suchmaschine hat ihre eigenen geheimen Kriterien, welche für die Bewertung der Relevanz herangezogen werden. Googles Suchergebnisse werden aus einer Kombination zweier Verfahren angeordnet. Neben der Hypertext-Matching-Analyse ist dies die PageRank-Technologie. Der so genannte PageRank-Algorithmus, benannt nach seinem Erfinder Lawrence Page, ist die wesentliche Komponente, die Google auf seinen Erfolgsweg gebracht hat. Über die genaue Funktionsweise dieses Algorithmus hat Google, insbesondere nach einigen Verbesserungen in den letzten Jahren, nicht alle Details preisgegeben. Fest steht jedoch, dass der PageRank-Algorithmus die Relevanz einer Webseite auf Basis der Hyperlinkstruktur des Webs berechnet, wobei die Relevanz einer Webseite danach gewichtet wird, wie viele Links auf sie zeigen und Verweise von ihrerseits stark verlinkten Seiten stärker ins Gewicht fallen.
-
MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000)
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- Date
- 22. 6.2002 19:40:22
-
Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999)
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- Source
- Computers in libraries. 19(1999) no.5, S.22-28
-
Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000)
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- Date
- 25. 8.2005 17:42:22
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ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999)
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- Date
- 3. 5.1997 8:44:22
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Dunning, A.: Do we still need search engines? (1999)
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- Ariadne. 1999, no.22
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Bawden, D.: Google and the universe of knowledge (2008)
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- Date
- 7. 6.2008 16:22:20
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Auf der Suche nach Suchmaschinen (1996)
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- Cogito. 12(1996) H.5, S.19-22
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Birmingham, J.: Internet search engines (1996)
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- 10.11.1996 16:36:22
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Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998)
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- 29.12.1998 11:22:00
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Lob, S.: Per Mausklick auf die neusten Nachrichten : Internet-Suchmaschinen liefern Presse-Überblicke und stellen persönliche Zeitungen zusammen (1998)
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- Date
- 29.12.1998 11:22:25
