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
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)
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)
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)
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)
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)
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)
Freeman, L.: A set of measures of centrality based upon betweeness. Sociometry 40(1), 35–41 (1977)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Zhuge, H.: Clustering Soft-Devices in Semantic Grid. IEEE Computing in Science and Engineering 4(6), 60–62 (2002)
Zhuge, H.: A Knowledge Grid Model and Platform for Global Knowledge Sharing. Expert Systems with Applications 22(4), 313–320 (2002)
Zhuge, H.: A Knowledge Flow Model for Peer-to-Peer Team Knowledge sharing and Management. Expert Systems with Applications 23(1), 23–30 (2002)
Zhuge, H.: Active e-Document Framework ADF: Model and Platform. Information and Management 41(1), 87–97 (2003)
Zhuge, H.: Resource Space Grid: Model, Method and Platform. Concurrency and Computation: Practice and Experience 16(14), 1385–1413 (2004)
Zhuge, H.: Fuzzy Resource Management in Semantic Grid: Model and Platform. Journal of Systems and Software 73(3), 389–396 (2004)
Zhuge, H.: China’s E-Science Knowledge Grid Environment. IEEE Intelligent Systems 19(1), 13–17 (2004)
Zhuge, H., Li, Y.: Semantic Profile-based Document Logistics for Cooperative Research. Future Generation Computer Systems 20(1), 47–60 (2004)
Zhuge, H.: The Knowledge Grid. World Scientific, Singapore (2004)
Zhuge, H.: Exploring Epidemic and e-Epidemic with e-Science Environment. Communications of the ACM 48(9), 109–114 (2005)
Zhuge, H.: The Future Interconnection Environment. IEEE Computer 38(4), 27–33 (2005)
Zhuge, H.: Semantic Grid: Scientific Issues, Infrastructure, and Methodology. Communications of the ACM 48(4), 117–119 (2005)
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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
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