Networking scientific resources in the Knowledge Grid environment

Concurrency and Computation: Practice and Experience

Volumn 19, Issue 7, 2007, Pages 1087-1113

  Zhuge, Hai ^a   Ding, Lianhong ^a,b   Li, Xiang ^a,b  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

E science; Information flow; Information sharing; Knowledge Grid

Indexed keywords

DATA FLOW ANALYSIS; INFORMATION RETRIEVAL; KNOWLEDGE ACQUISITION; RESOURCE ALLOCATION; SELF ORGANIZING MAPS;

E-SCIENCE; INFORMATION FLOW; INFORMATION SHARING; KNOWLEDGE GRIDS;

GRID COMPUTING;

EID: 34247871270     PISSN: 15320626     EISSN: 15320634     Source Type: Journal    
DOI: 10.1002/cpe.1094     Document Type: Conference Paper

References (32)

1. Zhuge H. The Knowledge Grid. World Scientific: Singapore, 2004.
2. Girvan M, Newman M. Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America 2002; 99:7821-7826.
3. Tyler J, Wilkinson D, Huberma B. Email as spectroscopy: Automated discovery of community structure within organizations. Proceedings of the Ist International Conference on Communities and Technologies, Amsterdam, 2003. Kluwer: Deventer, 2003; 81-96.
4. Wilkinson D, Huberman B. A method for finding communities of related genes. Proceedings of the National Academy of Sciences of the United States of America 2004; 101:5241-5248.
5. Zhuge H. Discovery of Knowledge flow in science. Communications of the ACM 2005; 49(5):101-107.
6. Freeman L. A set of measures of centrality based upon betweenness. Sociometry 1977; 40(1):35-41.
7. Yee J, Mills R, Peterson G, Bartczak S. Automatic generation of social network data from electronic-mail communications. Proceedings of the 10th ICCRTS, McLean, VA, 2005; 1.
8. Batagelj V, Mrvar AP. Analysis and visualization of large networks. Graph Drawing Software, Jünger M, Mutzel P. (eds.). Springer: Berlin, 2003; 77-103.
9. Yang J, Park S. Email categorization using fast machine learning algorithms. Proceedings of the 5th International Conference on Discovery Science (Lecture Notes in Computer Science, vol. 2534). Springer: Berlin, 2002; 316-323.
10. Ye Y, Ma F, Rong H, Huang J. Enhanced Email classification based on feature space enriching. Proceedings of the 9th International Conference on Applications of Natural Languages to Information Systems (NLDB 2004), Salford, U.K. (Lecture Notes in Computer Science, vol. 3136). Springer: Berlin, 2004.
11. Buckley C, Salton G, Allan J. The effect of adding relevance information in a relevance feedback environment. Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Dublin, 1994. Springer: Berlin, 1994; 292-300.
12. Chen C, Chen M, Sun Y. A Web document personalization user model and system. Proceedings of the Workshop on Machine Learning, Information Retrieval and User Modeling, Sonthofen, Germany, 2001 (in German). Available at: http://www.cs.ratgers.edu/ml4um/mirrors/mlirum-2001/papers/ [May 2006].
13. Sugiyama K, Hatano K, Yoshikawa M. Adaptive Web search based on user profile constructed without any effort from users. Proceedings of the 13th Conference on World Wide Web (AAMAS 2004), New York, 2004. IEEE Computer Society Press: Los Alamitos, CA, 2004; 675-684.
14. Page L, Brin S, Motwani R, Winograd T. The PageRank citation ranking: Bringing order to the Web. Technical Report SIDL-WP-1999-0120, Stanford Digital Libraries, Stanford, CA, 1999.
15. Ridings C, Shishigin M. Pagerank uncovered. Technical Report, 2002. Available at: http://www.voelspriet2.nl/PageRank.pdf [May 2006].
16. Campbell C, Maglio P, Cozzi A, Dom B. Expertise identification using email communications. Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, New Orleans, LA, 2003. ACM Press: New York, 2003; 528-531.
17. Dom B, Eiron I, Cozzi A, Zhang Y. Graph-based ranking algorithms for E-mail expertise analysis. Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, San Diego, CA, 2003. ACM Press: New York, 2003; 42-48.
18. Xing W, Ghorbani A. Weighted PageRank algorithm. Proceedings of the 2nd Annual Conference on Communication Networks and Services Research (CNSR 2004), Fredericton, Canada. IEEE Computer Society Press: Los Alamitos, CA, 2004; 305-314.
19. Hannemann R, Riddle M. Introduction to Social Network Methods. Online textbook, 2005. http://faculty.ucr.edu/~hanneman/nettext/networks.zip [May 2006].
20. Haveliwala T, Kamvar S. The second eigenvalue of the Google matrix. Technical Report, 2003. Available at: http://dbpubs.stanford.edu/pub/ 2003-20.
21. Langville A, Meyer C. Deeper inside PageRank. Internet Mathematics 2005; 1(3):335-380.
22. Vel O, Nesbitt S. A collaborative filtering agent system for dynamic virtual communities on the Web. Proceedings of the Conference on Automated Learning and Discovery, Pittsburgh, PA, 1998.
23. Somlo G, Howe A. QueryTracker: An agent for tracking persistent information needs. Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multi-Agent Systems, New York, 2004. IEEE Computer Society Press: Los Alamitos, CA, 2004; 488-495.
24. Bollacker K, Lawrence S, Giles C. A system for automatic personalized tracking of scientific literature on the Web. Proceedings of the 4th ACM Conference on Digital Libraries, Berkeley, CA, 1999. ACM Press: New York, 1999; 105-113.
25. Dourish P, Bellotti V. Awareness and coordination in shared workspaces. Proceedings of the ACM Conference on Computer Supported Cooperative Work, Toronto, Canada, 1992. ACM Press: New York, 1992; 107-114.
26. Bernheim A, Borning A. 'Today' messages: Lightweight support for small group awareness via Email. Proceedings of the 38th Annual Hawaii International Conference on System Sciences, Waikoloa, HI, 2005. IEEE Computer Society Press: Los Alamitos, CA, 2005; 1.
27. Steeter L, Lochbaum K. An expert/expert locating system based on automatic representation of semantic structure. Proceedings of the 4th IEEE Conference on Artificial Intelligence Applications, San Diego, CA, 1998. IEEE Computer Society Press: Los Alamitos, CA, 1988; 345-349.
28. Steeter L, Lochbaum K. Who knows: A system based on automatic representation of semantic structure. Proceedings of RIAO88: User-oriented Context-based Text and Image Handling, Cambridge, MA, 1988. CID: Paris, 1988; 380-388.
29. Mattox D, Maybury M, Morey D. Enterprise expert and knowledge discovery. Proceedings of the 8th International Conference on Human-Computer Interaction (HCI International'99), Munich, Germany, 1999. Lawrence Erlbaum: Mahwah, NJ, 1999; 303-307.
30. Kautz H, Selman B, Shah M. The Hidden Web. The AI Magazine 1997; 18(2):2-36.
31. Kautz H, Selman B, Milewski A. Agent amplified communication. Proceedings of the 13th National Conference on Artificial Intelligence (AAAI-96), vol. 1, Portland, OR, 1996. American Association for Artificial Intelligence: Menlo Park, CA, 1996; 3-9.
32. Wang J, Chen Z, Li T, Ma W, Liu W. Ranking user's relevance to a topic through link analysis on Web logs. Proceedings of the 4th ACM CIKM International Workshop on Web Information and Data Management (WIDM 2002), SAIC Headquarters, McLean, VA, 2002. ACM Press: New York, 2002; 49-54.