Search (159 results, page 1 of 8)

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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/.

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Date

22. 6.2002 19:40:22

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RSWK

Google / Reverse Engineering / Datensicherung / Computersicherheit

Subject

Google / Reverse Engineering / Datensicherung / Computersicherheit

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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.

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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]

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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

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RSWK

Google / Reverse Engineering / Datensicherung / Computersicherheit

Subject

Google / Reverse Engineering / Datensicherung / Computersicherheit

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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

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Imprint

Stockholm : KTH Electrical Engineering

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Source

Proceeding CSIE '09: Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 06

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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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Date

7. 2.1996 22:38:41

Pages

22 S

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Date

22. 8.1999 20:22:06

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Date

22. 8.1999 21:22:59

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Abstract

Few companies in history have ever been as successful and as admired as Google, the company that has transformed the Internet and become an indispensable part of our lives. How has Google done it? Veteran technology reporter Steven Levy was granted unprecedented access to the company, and in this revelatory book he takes readers inside Google headquarters-the Googleplex-to show how Google works. While they were still students at Stanford, Google cofounders Larry Page and Sergey Brin revolutionized Internet search. They followed this brilliant innovation with another, as two of Google's earliest employees found a way to do what no one else had: make billions of dollars from Internet advertising. With this cash cow (until Google's IPO nobody other than Google management had any idea how lucrative the company's ad business was), Google was able to expand dramatically and take on other transformative projects: more efficient data centers, open-source cell phones, free Internet video (YouTube), cloud computing, digitizing books, and much more. The key to Google's success in all these businesses, Levy reveals, is its engineering mind-set and adoption of such Internet values as speed, openness, experimentation, and risk taking. After its unapologetically elitist approach to hiring, Google pampers its engineers-free food and dry cleaning, on-site doctors and masseuses-and gives them all the resources they need to succeed. Even today, with a workforce of more than 23,000, Larry Page signs off on every hire. But has Google lost its innovative edge? It stumbled badly in China-Levy discloses what went wrong and how Brin disagreed with his peers on the China strategy-and now with its newest initiative, social networking, Google is chasing a successful competitor for the first time. Some employees are leaving the company for smaller, nimbler start-ups. Can the company that famously decided not to be evil still compete? No other book has ever turned Google inside out as Levy does with In the Plex.

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Date

27.11.2005 18:04:22

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Abstract

The preliminary intended and approved list was: Section 1: To concentrate on Google as virtual monopoly, and Google's reported support of Wikipedia. To find experimental evidence of this support or show that the reports are not more than rumours. Section 2: To address the copy-past syndrome with socio-cultural consequences associated with it. Section 3: To deal with plagiarism and IPR violations as two intertwined topics: how they affect various players (teachers and pupils in school; academia; corporations; governmental studies, etc.). To establish that not enough is done concerning these issues, partially due to just plain ignorance. We will propose some ways to alleviate the problem. Section 4: To discuss the usual tools to fight plagiarism and their shortcomings. Section 5: To propose ways to overcome most of above problems according to proposals by Maurer/Zaka. To examples, but to make it clear that do this more seriously a pilot project is necessary beyond this particular study. Section 6: To briefly analyze various views of plagiarism as it is quite different in different fields (journalism, engineering, architecture, painting, .) and to present a concept that avoids plagiarism from the very beginning. Section 7: To point out the many other dangers of Google or Google-like undertakings: opportunistic ranking, analysis of data as window into commercial future. Section 8: To outline the need of new international laws. Section 9: To mention the feeble European attempts to fight Google, despite Google's growing power. Section 10. To argue that there is no way to catch up with Google in a frontal attack.

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Source

Computers in libraries. 19(1999) no.5, S.22-28