лассика баз данных - статьи



         

—писок литературы


  • Martin Ebner. Microblogging Ч more than fun? Ч Proceedings of IADIS Mobile Learning Conference 2008, Inmaculada Arnedillo Sanchez and Pedro Isaias ed., Portugal, 2008, pp. 155Ц159.
  • Herman David, Janh Manfred, Ryan Marie-Laure. (ed.), The Routledge Encyclopedia of Narrative Theory. London, Routledge, 2005.
  • Bohringer, M. Really Social Syndication: A Conceptual View on Microblogging. Ч Sprouts: Working Papers on Information Systems, 9(31), 2009.
  • D.R. Karger, D. Quan (2005). What would it mean to blog on the semantic web? Ч Web Semantics: Science, Services and Agents on the World Wide Web, Selected Papers from the International Semantic Web Conference, Hiroshima, Japan, 07Ц11 November 2004, 3 (2Ц3), 2005, 147Ц157.
  • Gartner Highlights 27 Technologies in the 2008 Hype Cycle for Emerging Technologies. Ч http://www.gartner.com/it/page.jsp?id=739613, 2008.
  • P. Turney. Learning to extract keyphrases from text. Technical report, National Research Council, Institute for Informational Technology, 1999.
  • D. Turdakov. Word sense disambiguation methods. Programming and Computer Software, 2010, Vol. 36, No. 6, pp. 309Ц326.
  • D. Turdakov, S. Kuznetsov. Automatic word sense disambiguation based on document networks. Programming and Computer Software, 2010, Vol. 36, No. 1, pp. 11Ц18.
  • Dmitry Lizorkin, Pavel Velikhov, Maxim Grinev, Denis Turdakov. Accuracy estimate and optimization techniques for SimRank computation. Ч The International Journal on Very Large Data Bases archive. Volume 19 Issue 1, February 2010.
  • Dmitry Lizorkin, Pavel Velikhov, Maxim Grinev, Denis Turdakov. Accuracy Estimate and Optimization Techniques for SimRank Computation. Ч Proceedings of the VLDB Endowment. Volume 1 Issue 1, August 2008.
  • Maria Grineva, Maxim Grinev, Dmitry Lizorkin. Effective Extraction of Thematically Grouped Key Terms From Text. Ч Proc. of the AAAI 2009 Spring Symposium on Social Semantic Web. Ч pp. 39Ц44.
  • D. Turdakov, D. Lizorkin. HMM Expanded to Multiple Interleaved Chains as a Model for Word Sense Disambiguation. Ч PACLIC 2009: The 23rd Pacific Asia Conference on Language, Information and Computations.


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