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  1. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.26 
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  2. Shala, E.: ¬Die Autonomie des Menschen und der Maschine : gegenwärtige Definitionen von Autonomie zwischen philosophischem Hintergrund und technologischer Umsetzbarkeit (2014) 0.13 
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    Footnote
    Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.
  3. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.13 
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  4. Austin, D.: How Google finds your needle in the Web's haystack : as we'll see, the trick is to ask the web itself to rank the importance of pages... (2006) 0.09 
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    Abstract
    Imagine a library containing 25 billion documents but with no centralized organization and no librarians. In addition, anyone may add a document at any time without telling anyone. You may feel sure that one of the documents contained in the collection has a piece of information that is vitally important to you, and, being impatient like most of us, you'd like to find it in a matter of seconds. How would you go about doing it? Posed in this way, the problem seems impossible. Yet this description is not too different from the World Wide Web, a huge, highly-disorganized collection of documents in many different formats. Of course, we're all familiar with search engines (perhaps you found this article using one) so we know that there is a solution. This article will describe Google's PageRank algorithm and how it returns pages from the web's collection of 25 billion documents that match search criteria so well that "google" has become a widely used verb. Most search engines, including Google, continually run an army of computer programs that retrieve pages from the web, index the words in each document, and store this information in an efficient format. Each time a user asks for a web search using a search phrase, such as "search engine," the search engine determines all the pages on the web that contains the words in the search phrase. (Perhaps additional information such as the distance between the words "search" and "engine" will be noted as well.) Here is the problem: Google now claims to index 25 billion pages. Roughly 95% of the text in web pages is composed from a mere 10,000 words. This means that, for most searches, there will be a huge number of pages containing the words in the search phrase. What is needed is a means of ranking the importance of the pages that fit the search criteria so that the pages can be sorted with the most important pages at the top of the list. One way to determine the importance of pages is to use a human-generated ranking. For instance, you may have seen pages that consist mainly of a large number of links to other resources in a particular area of interest. Assuming the person maintaining this page is reliable, the pages referenced are likely to be useful. Of course, the list may quickly fall out of date, and the person maintaining the list may miss some important pages, either unintentionally or as a result of an unstated bias. Google's PageRank algorithm assesses the importance of web pages without human evaluation of the content. In fact, Google feels that the value of its service is largely in its ability to provide unbiased results to search queries; Google claims, "the heart of our software is PageRank." As we'll see, the trick is to ask the web itself to rank the importance of pages.
  5. Saabiyeh, N.: What is a good ontology semantic similarity measure that considers multiple inheritance cases of concepts? (2018) 0.09 
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    Abstract
    I need to measure semantic similarity between CSO ontology concepts, depending on Ontology structure (concept path, depth, least common subsumer (LCS) ...). CSO (Computer Science Ontology) is a large-scale ontology of research areas. A concepts in CSO may have multiple parents/super concepts (i.e. a concept may be a child of many other concepts), e.g. : (world wide web) is parent of (semantic web) (semantics) is parent of (semantic web) I found some measures that meet my needs, but the papers proposing these measures are not cited, so i got hesitated. I also found a measure that depends on weighted edges, but multiple inheritance (super concepts) is not considered..
  6. Daudaravicius, V.: ¬A framework for keyphrase extraction from scientific journals (2016) 0.07 
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    Abstract
    We present a framework for keyphrase extraction from scientific journals in diverse research fields. While journal articles are often provided with manually assigned keywords, it is not clear how to automatically extract keywords and measure their significance for a set of journal articles. We compare extracted keyphrases from journals in the fields of astrophysics, mathematics, physics, and computer science. We show that the presented statistics-based framework is able to demonstrate differences among journals, and that the extracted keyphrases can be used to represent journal or conference research topics, dynamics, and specificity.
    Content
    Vortrag, "Semantics, Analytics, Visualisation: Enhancing Scholarly Data Workshop co-located with the 25th International World Wide Web Conference April 11, 2016 - Montreal, Canada", Montreal 2016.
  7. ¬Third International World Wide Web Conference, Darmstadt 1995 : [Inhaltsverzeichnis] (1995) 0.07 
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    Abstract
    ANDREW, K. u. F. KAPPE: Serving information to the Web with Hyper-G; BARBIERI, K., H.M. DOERR u. D. DWYER: Creating a virtual classroom for interactive education on the Web; CAMPBELL, J.K., S.B. JONES, N.M. STEPHENS u. S. HURLEY: Constructing educational courseware using NCSA Mosaic and the World Wide Web; CATLEDGE, L.L. u. J.E. PITKOW: Characterizing browsing strategies in the World-Wide Web; CLAUSNITZER, A. u. P. VOGEL: A WWW interface to the OMNIS/Myriad literature retrieval engine; FISCHER, R. u. L. PERROCHON: IDLE: Unified W3-access to interactive information servers; FOLEY, J.D.: Visualizing the World-Wide Web with the navigational view builder; FRANKLIN, S.D. u. B. IBRAHIM: Advanced educational uses of the World-Wide Web; FUHR, N., U. PFEIFER u. T. HUYNH: Searching structured documents with the enhanced retrieval functionality of free WAIS-sf and SFgate; FIORITO, M., J. OKSANEN u. D.R. IOIVANE: An educational environment using WWW; KENT, R.E. u. C. NEUSS: Conceptual analysis of resource meta-information; SHELDON, M.A. u. R. WEISS: Discover: a resource discovery system based on content routing; WINOGRAD, T.: Beyond browsing: shared comments, SOAPs, Trails, and On-line communities
  8. Weller, K.: Ontologien: Stand und Entwicklung der Semantik für WorldWideWeb (2009) 0.07 
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    Abstract
    Die Idee zu einem semantischen Web wurde maßgeblich geprägt (wenn auch nicht initiiert) durch eine Veröffentlichung von Tim Berners Lee, James Hendler und Ora Lassila im Jahre 2001. Darin skizzieren die Autoren ihre Version von einem erweiterten und verbesserten World Wide Web: Daten sollen so aufbereitet werden, dass nicht nur Menschen diese lesen können, sondern dass auch Computer in die Lage versetzt werden, diese zu verarbeiten und sinnvoll zu kombinieren. Sie beschreiben ein Szenario, in dem "Web agents" dem Nutzer bei der Durchführung komplexer Suchanfragen helfen, wie beispielsweise "finde einen Arzt, der eine bestimmte Behandlung anbietet, dessen Praxis in der Nähe meiner Wohnung liegt und dessen Öffnungszeiten mit meinem Terminkalender zusammenpassen". Die große Herausforderung liegt hierbei darin, dass Informationen, die über mehrere Webseiten verteilt sind, gesammelt und zu einer sinnvollen Antwort kombiniert werden müssen. Man spricht dabei vom Problem der Informationsintegration (Information Integration). Diese Vision der weltweiten Datenintegration in einem Semantic Web wurde seither vielfach diskutiert, erweitert und modifiziert, an der technischen Realisation arbeitet eine Vielzahl verschiedener Forschungseinrichtungen. Einigkeit besteht dahingehend, dass eine solche Idee nur mit der Hilfe neuer bedeutungstragender Metadaten verwirklicht werden kann. Benötigt werden also neue Ansätze zur Indexierung von Web Inhalten, die eine Suche über Wortbedeutungen und nicht über bloße Zeichenketten ermöglichen können. So soll z.B. erkannt werden, dass es sich bei "Heinrich Heine" um den Namen einer Person handelt und bei "Düsseldorf" um den Namen einer Stadt. Darüber hinaus sollen auch Verbindungen zwischen einzelnen Informationseinheiten festgehalten werden, beispielsweise dass Heinrich Heine in Düsseldorf wohnte. Wenn solche semantischen Relationen konsequent eingesetzt werden, können sie in vielen Fällen ausgenutzt werden, um neue Schlussfolgerungen zu ziehen.
  9. Leighton, H.V.: Performance of four World Wide Web (WWW) index services : Infoseek, Lycos, WebCrawler and WWWWorm (1995) 0.06 
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  10. World Wide Web JAVA : die revolutionäre Programmiersprache nicht nur für das Internet (1996) 0.06 
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  11. Galinski, C.: Fragen der semantischen Interoperabilität brechen jetzt überall auf (o.J.) 0.06 
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    Content
    "Der Begriff der semantischen Interoperabilität ist aufgetreten mit dem Semantic Web, einer Konzeption von Tim Berners-Lee, der sagt, das zunehmend die Computer miteinander über hochstandardisierte Sprachen, die wenig mit Natürlichsprachlichkeit zu tun haben, kommunizieren werden. Was er nicht sieht, ist dass rein technische Interoperabilität nicht ausreicht, um die semantische Interoperabilität herzustellen." ... "Der Begriff der semantischen Interoperabilität ist aufgetreten mit dem Semantic Web, einer Konzeption von Tim Berners-Lee, der sagt, das zunehmend die Computer miteinander über hochstandardisierte Sprachen, die wenig mit Natürlichsprachlichkeit zu tun haben, kommunizieren werden. Was er nicht sieht, ist dass rein technische Interoperabilität nicht ausreicht, um die semantische Interoperabilität herzustellen."
    Date
    22. 1.2011 10:16:32
  12. Cohen, S.; Fereira, J.; Horne, A.; Kibbee, B.; Mistlebauer, H.; Smith, A.: MyLibrary : personalized electronic services in the Cornell University Library (2000) 0.06 
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    Abstract
    Library users who are Web users expect customization and interactivity. MyLibrary is a Cornell University Library initiative to provide numerous personalized library services to Cornell University students, faculty, and staff. Currently, it consists of MyLinks, a tool for collecting and organizing resources for private use by a patron, and MyUpdates, a tool to help scholars stay informed of new resources provided by the library. This article provides an overview of the MyLibrary project, explains the rationale for the development of the service in the library, briefly discusses the hardware and software used for the service, and suggests some of the directions for future developments of the MyLibrary system. MyYahoo!, MyCNN, MyBookmarks, MyThis and MyThat. Internet users have demanded a personal face to the World Wide Web, and Web portals and information providers have responded. Why not MyLibrary? The Library and Information Technology Association (LITA) has defined MyLibrary-like services as the number one trend "worth keeping an eye on". "Library users who are Web users, a growing group," the experts agree, "expect customization, interactivity, and customer support. Approaches that are library-focused instead of user-focused will be increasingly irrelevant." In response to the needs of web-savvy patrons, the Cornell University Library (CUL) implemented a MyLibrary service this year, making finding and using library resources easier than ever. MyLibrary is an "umbrella" service for two new products: MyLinks and MyUpdates. Other products are in development. MyLibrary's MyLinks is a tool for collecting and organizing resources for private use by a patron. These resources may or may not be "official" Cornell University Library resources. Our patrons best understand this service as a "traveling set of bookmarks". Most patrons of the library use a variety of machines to access Internet resources. For example, you may have a computer at home and one at work. Why should you create your bookmarks twice, or carry around a diskette containing your bookmarks? Students who rely on lab computers never know which machine they will use next. With MyLinks, a patron's favorite sites are just a click away from any machine.
  13. Resource Description Framework (RDF) (2004) 0.05 
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    Abstract
    The Resource Description Framework (RDF) integrates a variety of applications from library catalogs and world-wide directories to syndication and aggregation of news, software, and content to personal collections of music, photos, and events using XML as an interchange syntax. The RDF specifications provide a lightweight ontology system to support the exchange of knowledge on the Web. The W3C Semantic Web Activity Statement explains W3C's plans for RDF, including the RDF Core WG, Web Ontology and the RDF Interest Group.
    Theme
    Semantic Web
  14. Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005) 0.05 
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    Abstract
    PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor alpha that spreads uniformly part of the rank. The choice of alpha is eminently empirical, and in most cases the original suggestion alpha=0.85 by Brin and Page is still used. Recently, however, the behaviour of PageRank with respect to changes in alpha was discovered to be useful in link-spam detection. Moreover, an analytical justification of the value chosen for alpha is still missing. In this paper, we give the first mathematical analysis of PageRank when alpha changes. In particular, we show that, contrarily to popular belief, for real-world graphs values of alpha close to 1 do not give a more meaningful ranking. Then, we give closed-form formulae for PageRank derivatives of any order, and an extension of the Power Method that approximates them with convergence O(t**k*alpha**t) for the k-th derivative. Finally, we show a tight connection between iterated computation and analytical behaviour by proving that the k-th iteration of the Power Method gives exactly the PageRank value obtained using a Maclaurin polynomial of degree k. The latter result paves the way towards the application of analytical methods to the study of PageRank.
    Date
    16. 1.2016 10:22:28
    Source
    http://vigna.di.unimi.it/ftp/papers/PageRankAsFunction.pdf [Proceedings of the ACM World Wide Web Conference (WWW), 2005]
  15. Bechhofer, S.; Harmelen, F. van; Hendler, J.; Horrocks, I.; McGuinness, D.L.; Patel-Schneider, P.F.; Stein, L.A.: OWL Web Ontology Language Reference (2004) 0.05 
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    Abstract
    The Web Ontology Language OWL is a semantic markup language for publishing and sharing ontologies on the World Wide Web. OWL is developed as a vocabulary extension of RDF (the Resource Description Framework) and is derived from the DAML+OIL Web Ontology Language. This document contains a structured informal description of the full set of OWL language constructs and is meant to serve as a reference for OWL users who want to construct OWL ontologies.
    Theme
    Semantic Web
  16. Wright, H.: Semantic Web and ontologies (2018) 0.05 
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    Abstract
    The Semantic Web and ontologies can help archaeologists combine and share data, making it more open and useful. Archaeologists create diverse types of data, using a wide variety of technologies and methodologies. Like all research domains, these data are increasingly digital. The creation of data that are now openly and persistently available from disparate sources has also inspired efforts to bring archaeological resources together and make them more interoperable. This allows functionality such as federated cross-search across different datasets, and the mapping of heterogeneous data to authoritative structures to build a single data source. Ontologies provide the structure and relationships for Semantic Web data, and have been developed for use in cultural heritage applications generally, and archaeology specifically. A variety of online resources for archaeology now incorporate Semantic Web principles and technologies.
    Theme
    Semantic Web
  17. Wätjen, H.-J.: Automatisches Sammeln, Klassifizieren und Indexieren von wissenschaftlich relevanten Informationsressourcen im deutschen World Wide Web : das DFG-Projekt GERHARD (1998) 0.05 
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  18. Herwijnen, E. van: SGML tutorial (1993) 0.05 
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    Abstract
    Contains extensive beginning and advanced interactive tutorials and exercises to teach SGML and uses DynaText software to manage, browse and search the text, thus demonstrating the features of one of the most widely known programs available for SGML marked-up text
    Issue
    Version 2. Computer file.
  19. Reiner, U.: Automatische DDC-Klassifizierung bibliografischer Titeldatensätze der Deutschen Nationalbibliografie (2009) 0.05 
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    Abstract
    Die Menge der zu klassifizierenden Veröffentlichungen steigt spätestens seit der Existenz des World Wide Web schneller an, als sie intellektuell sachlich erschlossen werden kann. Daher werden Verfahren gesucht, um die Klassifizierung von Textobjekten zu automatisieren oder die intellektuelle Klassifizierung zumindest zu unterstützen. Seit 1968 gibt es Verfahren zur automatischen Dokumentenklassifizierung (Information Retrieval, kurz: IR) und seit 1992 zur automatischen Textklassifizierung (ATC: Automated Text Categorization). Seit immer mehr digitale Objekte im World Wide Web zur Verfügung stehen, haben Arbeiten zur automatischen Textklassifizierung seit ca. 1998 verstärkt zugenommen. Dazu gehören seit 1996 auch Arbeiten zur automatischen DDC-Klassifizierung bzw. RVK-Klassifizierung von bibliografischen Titeldatensätzen und Volltextdokumenten. Bei den Entwicklungen handelt es sich unseres Wissens bislang um experimentelle und keine im ständigen Betrieb befindlichen Systeme. Auch das VZG-Projekt Colibri/DDC ist seit 2006 u. a. mit der automatischen DDC-Klassifizierung befasst. Die diesbezüglichen Untersuchungen und Entwicklungen dienen zur Beantwortung der Forschungsfrage: "Ist es möglich, eine inhaltlich stimmige DDC-Titelklassifikation aller GVK-PLUS-Titeldatensätze automatisch zu erzielen?"
    Date
    22. 1.2010 14:41:24
  20. Laaff, M.: Googles genialer Urahn (2011) 0.05 
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    Content
    "Die erste Suchmaschine der Welt ist aus Holz und Papier gebaut. Mannshohe, dunkelbraune Schränke reihen sich aneinander, darin Zettelkästen mit Karteikarten. "Sechzehn Millionen Karteikarten", sagt Jaques Gillen und legt die Hand auf den Griff eines Schrankes. Gillen ist Archivar im Mundaneum - der Institution, die diesen gigantischen Katalog in den zwanziger Jahren des vergangenen Jahrhunderts betrieb. Anfragen gingen per Brief oder Telegramm in Brüssel ein, bis zu 1500 im Jahr. Antworten wurden per Hand herausgesucht, das konnte Wochen dauern. Ein Papier-Google, entwickelt Jahrzehnte vor dem Internet, ohne Computer. Erfinder des Mundaneums war der belgische Bibliothekar Paul Otlet. Der gelernte Jurist aus bürgerlichem Hause wollte das Wissen der Welt kartografieren und in Holzschränken aufbewahren. Seine Vision: Das Mundaneum sollte alle Bücher erfassen, die jemals erschienen sind - und sie über ein eigens entwickeltes Archivsystem miteinander verbinden. Archivar Gillen fischt eine Karteikarte aus einem Kasten. Aus dem Zahlenwirrwarr darauf kann er dutzende Informationen über das Buch, auf das verwiesen wird, ablesen. Mit seinem Archivsystem, darin sind sich viele Forscher heute einig, hat Otlet praktisch schon um die Jahrhundertwende den Hypertext erfunden - das Netz von Verknüpfungen, die uns heute durch das Internet navigieren. "Man könnte Otlet als einen Vordenker des Internets bezeichnen", sagt Gillen und steckt die Karteikarte zurück.
    Karteikästen, Telefone, Multimedia-Möbel 1934 entwickelte Otlet die Idee eines weltweiten Wissens-"Netzes". Er versuchte, kaum dass Radio und Fernsehen erfunden waren, Multimedia-Konzepte zu entwickeln, um die Kooperationsmöglichkeiten für Forscher zu verbessern. Otlet zerbrach sich den Kopf darüber, wie Wissen über große Distanzen zugänglich gemacht werden kann. Er entwickelte Multimedia-Arbeitsmöbel, die mit Karteikästen, Telefonen und anderen Features das versuchten, was heute an jedem Rechner möglich ist. Auch ohne die Hilfe elektronischer Datenverarbeitung entwickelte er Ideen, deren Umsetzung wir heute unter Begriffen wie Web 2.0 oder Wikipedia kennen. Trotzdem sind sein Name und seine Arbeit heute weitgehend in Vergessenheit geraten. Als Vordenker von Hypertext und Internet gelten die US-Amerikaner Vannevar Bush, Ted Nelson und Douglas Engelbart. Die Überbleibsel der Mundaneum-Sammlung vermoderten jahrzehntelang auf halb verfallenen Dachböden.
    Der Traum vom dynamischen, ständig wachsenden Wissensnetz Auch, weil Otlet bereits darüber nachdachte, wie in seinem vernetzten Wissenskatalog Anmerkungen einfließen könnten, die Fehler korrigieren oder Widerspruch abbilden. Vor dieser Analogie warnt jedoch Charles van den Heuvel von der Königlichen Niederländischen Akademie der Künste und Wissenschaften: Seiner Interpretation zufolge schwebte Otlet ein System vor, in dem Wissen hierarchisch geordnet ist: Nur eine kleine Gruppe von Wissenschaftlern sollte an der Einordnung von Wissen arbeiten; Bearbeitungen und Anmerkungen sollten, anders etwa als bei der Wikipedia, nicht mit der Information verschmelzen, sondern sie lediglich ergänzen. Das Netz, das Otlet sich ausmalte, ging weit über das World Wide Web mit seiner Hypertext-Struktur hinaus. Otlet wollte nicht nur Informationen miteinander verbunden werden - die Links sollten noch zusätzlich mit Bedeutung aufgeladen werden. Viele Experten sind sich einig, dass diese Idee von Otlet viele Parallelen zu dem Konzept des "semantischen Netz" aufweist. Dessen Ziel ist es, die Bedeutung von Informationen für Rechner verwertbar zu machen - so dass Informationen von ihnen interpretiert werden und maschinell weiterverarbeitet werden können. Projekte, die sich an einer Verwirklichung des semantischen Netzes versuchen, könnten von einem Blick auf Otlets Konzepte profitieren, so van den Heuvel, von dessen Überlegungen zu Hierarchie und Zentralisierung in dieser Frage. Im Mundaneum in Mons arbeitet man derzeit daran, Otlets Arbeiten zu digitalisieren, um sie ins Netz zu stellen. Das dürfte zwar noch ziemlich lange dauern, warnt Archivar Gillen. Aber wenn es soweit ist, wird sich endlich Otlets Vision erfüllen: Seine Sammlung des Wissens wird der Welt zugänglich sein. Papierlos, für jeden abrufbar."
    Date
    24.10.2008 14:19:22
    Footnote
    Vgl. unter: http://www.spiegel.de/netzwelt/web/0,1518,768312,00.html.

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