101-8430 240-0193
2-1-2 2-2 E-mail: {m-yuki, takeda}@nii.ac.jp, 5-1-5 t-nakada@jaist.ac.jp 2 19 Web
Yuki Matsuoka Ryuuki Sakamoto Toyohisa Nakada Sadanori Ito    and Hideaki Takeda National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan The Graduate University for Advanced Studies, Shonan Village, Hayama, Kanagawa 240-0193 Japan Advanced Telecommunications Research Institute International,  2-2 Hikaridai, Seikacho, Soraku-gun, Kyoto 619-0288 Japan Japan Advanced Institute of science and technology, 1-1, Asahidai, Nomi, Ishikawa 923-1292 Japan Research into Artifacts, Center for Engineering, The University of Tokyo,   5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568 Japan {m-yuki, takeda}@nii.ac.jp, t-nakada@jaist.ac.jp E-mail: {skmt, sito}@atr.jp, Abstract We analyzed the second information to Web pages given by underlining. We developed the system that is able to give the underline to the Web document by using the three colors ballpoint reading method that Prof. Takashi Saito at Meiji University advocated, and operated it in the 19th Annual Conference of The Japanese Society for Artificial Intelligence. The three colors ballpoint reading method is a technique giving the underline with color to objectively or subjectively important sentences. Result of analysis, the underline data involved important sentences and some personal characteristic. It will be able to apply to the document summary and making the user profile, etc. Keywords annotation system, extraction of personal knowledge, extraction of important sentences, personalization 1. 2. Web [1] RSS Blog 2.1. [1] Web [3] [4] Folksonomy Folksonomy [5] 2.2. Web Folksonomy Web
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し3 tfidf tfidf t fid f 3 tfidf 6 tfidf 8 t fidf tfidf 9 14 tfidf A tfidf 1.4 3.4 tfidf -0.8 A B 0.2 0.4 7 t fidf 4 t fidf t fidf P 0.2936  > .05 tfidf 7 tfidf 4 tfidf
4.3. 27 8 8 B l t fidf D tfidf E t fidf 0.8 l E G t fidf F 15 2 G 1 5 B tfidf c 2.2 2.4 c c 11 C D t fidf 0.2 tfidf [1] Marshall, C., Annotation: from paper books to the digital library, in Proceedings of the ACM Digital Libraries '97 Conference. [2] Schilit B. N., Golovchinsky, G and Price M. Beyond Paper: Supporting Active Reading with free-form digital ink annotations. Proceedings of CHI'98 [3] Gyunn, S. Capturing reader's attention by means of typographical strategies, Educational cueing Technology, 1978. J. [4] Blanchard, and    Mikkelson,    V. Underlining performance outcomes in expository text. Journal of Educational Research, 80: 197-201 [5] Morris, C., Bransford, J. and Franks, J., Levels of processing verus transfer appropriate processing, Journal of Verbal Learning and Verbal Behavior, 16 : 519-533 [6] Roscheisen, M., Mogensen, C., and Winograd, T. Web Platform Shared Annotations  as for a Third-Party Value-Added, Information Providers: Architecture,    Protocols, and Usage Examples, Technical Report CSDTR/DLTR (1997), Stanford University. [7] L. Denoue and L. Vignollet. An annotation tool for web browsers and its applications to information retrieval. In In Proceedings of RIAO2000, Paris, April 2000. [8] Ka-Ping Yee. CritLink: Better Hyperlinks for the WWW, 1998. [9]  Marja-Riitta Koivunen, Eric Prud'Hommeaux, Ralph R. Swick, Annotea: An Open RDF Infrastructure for Shared Web Annotations, in Proc. of the WWW10 International Conference, Hong Kong, May 2001 [10] J.R. Davis and D.P. Huttenlocher. Shared annotation for cooperative learning. In Proceedings of the Computer Learning Support Cooperative for Conference, 1995 [11] Lassila O., Swick R. (Editors), Resource Description Framework (RDF) Model and Syntax Specification, World Wide Web Consortium, 22 February 1999. [12] Berners-Lee, T., Hendler, J. and Lassila, O. The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities, Scientific American, May 2001. [13] ISBN:4047041351 (2003) [14] http://gensen.dl.itc.u-tokyo.ac.jp/ [15] Salton, G.: Developments in automatic text retrieval, Science, Vol. 253, pp. 974-980 (1991).