Discovery of knowledge flow in science

ABSTRACT

Recognizing and understanding knowledge flow between scientists is valuable for science. Discovering, managing, and utilizing such knowledge are advanced services of the e-science knowledge grid environment.

REFERENCES

• 1: Adamic, L.A. and Huberman, B.A. Power-law distribution of the World Wide Web. Science, 287, 24 (2000), 2115.
• 2: Barabási, A.L. and Albert, R. Emergence of scaling in random networks. Science, 286 (1999), 509--512.
• 3: Berners-Lee, T., Hendler, J., and Lassila, O. Semantic Web. Sci. Am. 284, 5 (2001), 34--43.
• 4: Foster, I. Service-oriented science. Science 308, 5723 (2005), 814--817.
• 5: Pairin Katerattanakul , Bernard Han , Soongoo Hong, Objective quality ranking of computing journals, Communications of the ACM, v.46 n.10, p.111-114, October 2003 [doi>10.1145/944217.944221]
• 6: Kleinberg, J. and Lawrence, S. The structure of the Web. Science 294, 30 (2001), 1849--1850.
• 7: Nowak, M.A. and Sigmund, K. Evolution of indirect reciprocity. Nature 427, 27 (2005), 1291--1298.
• 8: Kazumasa Oida, The birth and death process of hypercycle spirals, Proceedings of the eighth international conference on Artificial life, p.19-27, December 09-13, 2002
• 9: Redner, S. How popular is your paper? An empirical study of the citation distribution. Eur. Phys. J. B4 (1998), 131--134.
• 10: Zhuge, H. The Knowledge Grid. World Scientific Publishing Co. Singapore, 2004.
• 11: Hai Zhuge, Exploring an epidemic in an e-science environment, Communications of the ACM, v.48 n.9, p.109-114, September 2005 [doi>10.1145/1081992.1081998]
• 12: Hai Zhuge, The Future Interconnection Environment, Computer, v.38 n.4, p.27-33, April 2005 [doi>10.1109/MC.2005.142]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

Additional Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.5 Heterogeneous Databases
      H.2.8 Database applications

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.6 Learning