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Displaying 1 - 10 of 10 (Bibliography: WIKINDX Master Bibliography)
Adler Thomas B., Benterou Jason & Chatterjee Krishnendu et al. (2007). Assigning Trust To Wikipedia Content. Santa Cruz, CA, USA : University of California. v  Pop. 10.05%
Adler Thomas B. & de Alfaro Luca (2007). « A Content-Driven Reputation System for the Wikipedia ». In 16th International World Wide Web Conference, 8-12 mai 2007. v  Pop. 11.46%
Cosley Dan, Frankowski Dan, Terveen Loren & Riedl John (2007). « SuggestBot : Using intelligent task routing to help people find work in wikipedia ». In IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces. New York : ACM Press, p. 32–41. v  Pop. 10.46%
Denoyer Ludovic & Gallinari Patrick (2006). « The Wikipedia XML corpus ». SIGIR Forum, vol. 40, n° 1, p. 64–69. v  Pop. 18.55%
Fissaha Adafre Sisay, Jijkoun Valentin & de Rijke Maarten (2007). « Fact Discovery in Wikipedia ». In 2007 IEEE/WIC/ACM International Conference on Web Intelligence, novembre 2007. v  Pop. 9.96%
Herr Bruce & Holloway Todd (2007). « An Emergent Mosaic of Wikipedian Activity ». In International Workshop and Conference on Network Science, 20-25 mai 2007. v  Pop. 11.05%
Jacquemin Bernard (2003). Construction et interrogation de la structure informationnelle d'une base documentaire en français. [thesis de doctoral]. Lyon : Université Claude Bernard Lyon1, Institut des Sciences Cognitives. v  Pop. 10.21%
Ollivier Yann & Senellart Pierre (2007). « Finding Related Pages Using Green Measures : An Illustration with Wikipedia ». In Proceedings of the 22nd AAAI Conference on Artificial Intelligence. Menlo Park, California : AAAI Press, p. 1427–1433. v  Pop. 10.01%
Ponzetto Simone P. & Strube Michael (2007). « Deriving a Large Scale Taxonomy from Wikipedia ». In Proceedings of the 22nd AAAI Conference on Artificial Intelligence. Menlo Park, California : AAAI Press, p. 1440–1447. v  Pop. 9.22%
Zesch Torsten, Gurevych Iryna & Mühlhäuser Max (2007). « Analyzing and Accessing Wikipedia as a Lexical Semantic Resource ». In Rehm Georg, Witt Andreas & Lemnitzer Lothar (dir.). Data Structures for Linguistic Resources and Applications. Tuebingen, Germany : Gunter Narr, Tübingen, p. 197–205. v  Pop. 9.96%
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