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Pushing Scientific Documents by Discovering Interest in Information Flow Within E-Science Knowledge Grid

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Grid and Cooperative Computing - GCC 2005 (GCC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3795))

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Abstract

The Knowledge Grid is an intelligent and sustainable Internet application environment that enables people and roles to effectively capture, publish, share and manage explicit knowledge resources. As an important function of the e-Science Knowledge Grid, this paper proposes an approach to effectively push scientific documents within research teams by detecting the social characteristics in self-organized network, discovering interest in information flow, and capturing dynamic changes of interests over time. The proposed approach can be used in any cooperative organizations.

This work was supported by the National Basic Research Program of China (973 project No.2003CB317000) and the National Science Foundation of China (Grants 60273020 and 70271007).

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References

  1. Batagelj, V., Mrvar, A.: Pajek - Analysis and Visualization of Large Networks. In: Jünger, M., Mutzel, P. (eds.) Graph Drawing Software, pp. 77–103. Springer, Berlin (2003)

    Google Scholar 

  2. Bollacker, K.D., Lawrence, S., Giles, C.L.: A system for automatic personalized tracking of scientific literature on the Web. In: Proceedings of the Fourth ACM Conference on Digital Libraries, Berkeley, CA, USA, pp. 105–113 (1999)

    Google Scholar 

  3. Bernheim, A.J.B., Borning, A.: ‘Today’ Messages: Lightweight Support for Small Group Awareness via Email. In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences, Waikoloa, Hawaii, vol. 1 (2005)

    Google Scholar 

  4. Buckley, C., Salton, G., Allan, J.: The Effect of Adding Relevance Information in a Relevance Feedback Environment. In: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 292–300. Springer, Dublin (1994)

    Google Scholar 

  5. Chen, C.C., Chen, M.C., Sun, Y.: A Web Document Personalization User Model and System. User Modeling, Information Retrieval and User Modeling, Sonthofen, German (2001)

    Google Scholar 

  6. Dourish, P., Bellotti, V.: Awareness and Coordination in Shared Workspaces. In: Proceedings of the ACM Conference on Computer Supported Cooperative Work, Toronto, Canada, pp. 107–114 (1992)

    Google Scholar 

  7. Freeman, L.: A set of measures of centrality based upon betweeness. Sociometry 40(1), 35–41 (1977)

    Article  Google Scholar 

  8. Girvan, M., Newman, M.: Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America 99, 7821–7826 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  9. Somlo, G., Howe, A.: QueryTracker: An Agent for Tracking Persistent Information Needs. In: The Third International Joint Conference on Autonomous Agents and Mutli-Agent Systems, New York, USA, pp. 488–495 (2004)

    Google Scholar 

  10. Sugiyama, K., Hatano, K., Yoshikawa, M.: Adaptive web search based on user profile constructed without any effort from users. In: Proceedings of 13th conference on World Wide Web, New York, USA, pp. 675–684 (2004)

    Google Scholar 

  11. Tyler, J.R., Wilkinson, D.M., Huberman, B.A.: Email as Spectroscopy: Automated Discovery of Community Structure within Organizations. In: Proceedings of the First International Conference on Communities and Technologies, Amsterdam, Netherlands, pp. 81–96 (2003)

    Google Scholar 

  12. Vel, O., Nesbitt, S.: A Collaborative Filtering Agent System for Dynamic Virtual Communities on the Web. In: Proceedings of Conference on Automated Learning and Discovery, Pittsburgh, PA (1998)

    Google Scholar 

  13. Wilkinson, D.M., Huberman, B.A.: A method for finding communities of related genes. Proceedings of the National Academy of Sciences of the United States of America 101, 5241–5248 (2004)

    Article  Google Scholar 

  14. Yang, J., Park, S.: Email Categorization Using Fast Machine Learning Algorithms. In: Lange, S., Satoh, K., Smith, C.H. (eds.) DS 2002. LNCS, vol. 2534, pp. 316–323. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  15. Ye, Y., Ma, F., Rong, H., Huang, J.Z.: Enhanced Email Classification Based on Feature Space Enriching. In: Meziane, F., Métais, E. (eds.) NLDB 2004. LNCS, vol. 3136, pp. 299–311. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  16. Yee, J., Mills, R.F., Peterson, G.L., Bartczak, S.E.: Automatic Generation of Social Network Data from Electronic-Mail Communications. 10th ICCRTS, Track 1. Virginia (2005)

    Google Scholar 

  17. Zhuge, H.: Clustering Soft-Devices in Semantic Grid. IEEE Computing in Science and Engineering 4(6), 60–62 (2002)

    Google Scholar 

  18. Zhuge, H.: A Knowledge Grid Model and Platform for Global Knowledge Sharing. Expert Systems with Applications 22(4), 313–320 (2002)

    Article  Google Scholar 

  19. Zhuge, H.: A Knowledge Flow Model for Peer-to-Peer Team Knowledge sharing and Management. Expert Systems with Applications 23(1), 23–30 (2002)

    Article  Google Scholar 

  20. Zhuge, H.: Active e-Document Framework ADF: Model and Platform. Information and Management 41(1), 87–97 (2003)

    Article  Google Scholar 

  21. Zhuge, H.: Resource Space Grid: Model, Method and Platform. Concurrency and Computation: Practice and Experience 16(14), 1385–1413 (2004)

    Article  Google Scholar 

  22. Zhuge, H.: Fuzzy Resource Management in Semantic Grid: Model and Platform. Journal of Systems and Software 73(3), 389–396 (2004)

    Article  Google Scholar 

  23. Zhuge, H.: China’s E-Science Knowledge Grid Environment. IEEE Intelligent Systems 19(1), 13–17 (2004)

    Article  Google Scholar 

  24. Zhuge, H., Li, Y.: Semantic Profile-based Document Logistics for Cooperative Research. Future Generation Computer Systems 20(1), 47–60 (2004)

    Article  Google Scholar 

  25. Zhuge, H.: The Knowledge Grid. World Scientific, Singapore (2004)

    Google Scholar 

  26. Zhuge, H.: Exploring Epidemic and e-Epidemic with e-Science Environment. Communications of the ACM 48(9), 109–114 (2005)

    Article  Google Scholar 

  27. Zhuge, H.: The Future Interconnection Environment. IEEE Computer 38(4), 27–33 (2005)

    Google Scholar 

  28. Zhuge, H.: Semantic Grid: Scientific Issues, Infrastructure, and Methodology. Communications of the ACM 48(4), 117–119 (2005)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Lianhong Ding, Xiang Li & Yunpeng Xing

  2. Graduate School of Chinese Academy of Sciences, 100080, Beijing, China

    Lianhong Ding, Xiang Li & Yunpeng Xing

  3. Hunan Knowledge Grid Lab, Hunan University of Science and Technology, Hunan, China

    Yunpeng Xing

Authors
  1. Lianhong Ding
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  2. Xiang Li
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  3. Yunpeng Xing
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Editor information

Editors and Affiliations

  1. China Knowledge Grid Research Group, Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing, China

    Hai Zhuge

  2. Community Grids Lab, Indiana University Bloomington,  

    Geoffrey C. Fox

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© 2005 Springer-Verlag Berlin Heidelberg

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Ding, L., Li, X., Xing, Y. (2005). Pushing Scientific Documents by Discovering Interest in Information Flow Within E-Science Knowledge Grid. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_63

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  • DOI: https://doi.org/10.1007/11590354_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30510-1

  • Online ISBN: 978-3-540-32277-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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