The knowledge grid: Toward cyber-physical society, second edition

The Knowledge Grid: Toward Cyber-Physical Society, Second Edition

Volumn , Issue , 2012, Pages 1-506

  Zhuge, Hai ^a  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CYBER PHYSICAL SYSTEM; DECISION MAKING; DISTRIBUTED COMPUTER SYSTEMS; EDUCATION; HUMAN RESOURCE MANAGEMENT; PEER TO PEER NETWORKS; PROBLEM SOLVING; SEMANTICS; WEBSITES;

CYBER PHYSICAL SOCIETIES; DYNAMIC RESOURCE SHARING; NETWORKING MECHANISMS; PEER-TO-PEER INFRASTRUCTURE; RESOURCE MANAGEMENT; SEMANTIC LINK NETWORK; SUSTAINABLE INTERACTIONS; UNCERTAINTY MANAGEMENT;

INFORMATION MANAGEMENT;

EID: 84967538019     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1142/7567     Document Type: Book

References (234)

1. Aberer, K., Cudre-Mauroux, P., Hauswirth, M. and Pelt T.V. (2004). GridVine: Building Internet-Scale Semantic Overlay Networks, The 3rd International Semantic Web Conference, LNCS 3298, pp.107-121.
2. Adamic, L. A. and Huberman, B. A. (2000). Power-law distribution of the World Wide Web, Science, 287, No.24, pp.2115.
3. Aiello, W., Chung, F. and Lu, L. (2000). A random graph model for massive graphs, Proc. 32nd ACM Symposium on the Theory of Computing, New York, pp.171-180.
4. Albert, R., Jeong, H. and Barabasi, A. L. (1999). Diameter of the World-Wide Web, Nature, 401, pp.130-131.
5. Albert, R. and Barabasi, A. L.(2000). Topology of evolving networks: local events and universality, Phys. Rev. Lett., 85, pp.5234-5237.
6. Albert, R. and Barabasi, A. L. (2002). Statistical mechanics of complex networks, Rev. Mod. Phys., 74, pp.48-94.
7. Allan, J. (1997). Building hypertext using information retrieval, Information Processing and Management, 33, No.2, pp.145-159.
8. Amaral, L.A.N. et al. (2000). Classes of small-world networks, Proc. Nat. Acad. Sci., 97, No.21, pp.11149-11152.
9. Androutsellis-Theotokis, S. and Spinellis, D. (2004). A Survey of Peer-to-Peer Content Distribution Technologies, ACM Computing Surveys, 36, no. 4, pp. 335-371.
10. Anthonisse, J. (1971). The Rush in a Graph, Amsterdam: University of Amsterdam Mathematical Centre.
11. Bachman, C. (1972). The Evolution of Storage Structures, Communications of the ACM, 15, No.7, pp.628-634.
12. Bachman, C. (1973) The Programmer as Navigator. Communications of the ACM, 16(11) 653-658.
13. Bailey N. T. J. (1975) The Mathematics Theory of Infectious Diseases and Its Applications, second ed. Hafner Press.
14. Balakrishnan, H. et al. (2003). Looking Up Data in P2P Systems, Communications of the ACM, 46, no. 2, pp. 43-48.
15. Barabasi, A. L. and Albert, R. (1999a). Emergence of scaling in random networks, Science, 286, pp. 509-512.
16. Barabasi, A. L., Albert, R. and Jeong, H. (1999b). Mean-field theory for scale-free random networks, Physica A, 272, pp.173-187.
17. Barabasi, A. L., Jeong, H., Neda, Z., Ravasz, E., Schubert, A. and Vicsek, T. (2002). Evolution of the social network of scientific collaborations, Physica A, 311, pp.590-614.
18. Barabasi, A. L. and Bonabeau, E. (2003). Scale-free networks, Scientific American, May, pp.50-59.
19. Barrat, A. and Weigt, M. (2000). On the properties of small-world networks, Eur. Phys. J. B, 13, pp.547-560.
20. Barabasi, A., Jeong, H., Neda, Z., Ravasz, E., Schubert A., and Vicsek T. (2002). Evolution of the social network of scientific collaborations, Physica A: Statistical Mechanics and its Applications, 311, no. 3-4, pp. 590-614.
21. Batagelj, V. and Mrvar, A. (2000). Some analyses of the erdos collaboration graph, Social Networks, 22, pp.173-186.
22. Batty, C. D. (1966) An introduction to the Dewey decimal classification. Melbourne, Cheshire.
23. Beckmann, N., Kriegel, H. P., Schneider, R. and Seeger, B. (1990) The R* tree: an efficient and robust index method for points and rectangles. In SIGMOD, pp322- 331.
24. Beckwith, R., Fellbaum, C., Gross, C. and Miller, G. (1991). WordNet: a lexical database organized on psycholinguistic principles, lexical acquisition: exploiting on-line resources to build a lexicon, U.Zernik, ed., Lawrence Erlbaum, pp.211-231.
25. Berners-Lee, T., Hendler, J. and Lassila, O. (2001). Semantic Web, Scientific American, 284, No.5, pp.34-43.
26. T. Berners-Lee, et al. (2006). A Framework for Web Science, Now Publishers Inc.
27. Berry, M.W. et al. (1999). Matrices, Vector Spaces, and Information Retrieval, Society for Industrial and Applied Mathematics Review, 41, pp.335-362.
28. Bianconi, G. and Barabasi, A. L. (2001a). Bose-Einstein condensation in complex networks, Phys. Rev. Lett., 86, pp.5632-5635.
29. Bianconi, G. and Barabasi, A. L. (2001b). Competition and multiscaling in evolving networks, Europhys. Lett., 54, pp.436-442.
30. Bocy, R. et al. (1975). Specifying queries as relational expressions, Communications of the ACM, 18, No.11, pp.621-628.
31. Booch, G., Rumbaugh, J. and Jacobson, I. (1999). The unified modeling language: user guide. Reading, Mass. Addison-Wesley.
32. Bornholdt, S. and Ebel, H. (2001). World Wide Web scaling exponent from Simon’s 1955 model, Phys. Rev. E, 64, 035104(R).
33. Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification, Journal of Mathematical Sociology, 2, no. 1, pp. 113-120.
34. Bradshaw, J. M., Greaves, M. and Holmback, H. (1999). Agents for the masses? IEEE Intelligent Systems, 14, No.2, Mar/Apr., pp.53-63.
35. Broder, A. et al. (2000). Graph structure of the Web, Proc. of the 9th WWW Conf., Amsterdam, May, pp.309-320.
36. Broekstra, J. et al., (2001). Enabling knowledge representation on the Web by extending RDF schema, Proc. 10th International WWW Conf., Hong Kong, pp.467-478, available at http://www.cs.vu.nl/~frankh/abstracts/www01.html.
37. Bush, V. (1945). As we may think. The Atlantic Monthly, 176, No.1, pp.101-108.
38. Callaway, D. S. et al. (2001). Are randomly grown graphs really random? Phys. Rev. E., 64, cond-mat/0104546.
39. Cascia, M. L., Sethi, S. and Sclaroff, S. (1998). Combining textual and visual cues for content-based image retrieval on the worldwide web. Proc. IEEE Workshop on Content-based Access of Image and Video Libraries, pp.24-28.
40. Cass, S. (2004). A fountain of knowledge. IEEE Spectrum, 41, No.1, pp.60-67.
41. Chakrabarti, S., Dom, B., Gibson, D., Kleinberg, J., Raghavan, P. and Rajagopalan, S. (1998). Automatic resource list compilation by analyzing hyperlink structure and associated text, Proc. 7th International WWW Conf., pp.65-74.
42. Chen, P. (1976) The Entity-Relationship Model: Toward a Unified View of Data, ACM Transactions on Database Systems, 1, No.1, pp.9-36.
43. Chen, Q. et al. (2002). The origin of power laws in Internet topologies revisited, Proc. of the IEEE INFOCOM Conf., pp.608-617.
44. Clauset, A., Newman, M., and Moore, C. (2004). Finding community structure in very large networks, Physical Review E, 70, no. 6, p. 66-111.
45. Codd, E. F. (1970). A relational model of data for large shared data banks, Communications of the ACM, 13, No.6, pp.377-387.
46. Cohen, E., Fiat, A. and Kaplan, H. (2007). Associative search in peer to peer networks: Harnessing latent semantics, Computer Networks, 51, no. 8, pp. 1861-1881.
47. Colizza, V., Flammini, A., Serrano, M., and Vespignani, A. (2006). Detecting rich-club ordering in complex networks, Arxiv preprint physics/0602134.
48. Cortes, C. and Vapnik, V. (1995), Support-Vector Networks. Machine Learning, 20(3)(1995) 273-297.
49. Crespo, A. and Garcia-Molina, H. (2002). Routing Indices for Peer-to-peer Systems, Proceedings of the 22nd International Conference on Distributed Computing Systems, pp. 23-32.
50. Dachselt, R. Frisch, M. Weiland, (2007) FacetZoom: a continuous multi-scale widget for navigating hierarchical metadata, CHI08, 2008, pp.1353-1356.
51. Dakka, W., Ipeirotis, P.G., and Wood, K.R. (2007) Faceted Browsing over Large Databases of Text-Annotated Objects, ICDE 2007, pp.1489-1490.
52. Davenport, T. H., Jarvenpaa, S. L. and Beer, M. C. (1996). Improving knowledge work process, Sloan Management Review, 34, No.4, pp. 53-65.
53. Davis, G. F. and Greve, H. R. (1997). Corporate elite networks and governance changes in the 1980s, Am. J. Sociol., 103, pp.1-37.
54. Dean, J. and Henzinger, M. R. (1999). Finding related pages in the World Wide Web, Proc. 8th International WWW Conf., pp.1467-1476.
55. Decker, S., et al. (2000). The Semantic Web: the roles of XML and RDF, IEEE Internet Computing, 4, No. 5, pp.63-74.
56. Desouza, K. C. (2003). Facilitating tacit knowledge exchange, Communications of the ACM, 46, No.6, pp.85-88.
57. Dieng, R. (2000). Knowledge management and the Internet, IEEE Intelligent Systems, 15, No.3, May/June, pp.14-17.
58. Dorogovtsev, S. N. and Mendes, J. F. F. (2000a). Scaling behavior of developing and decaying networks, Europhys. Lett., 52, pp.33-39.
59. Dorogovtsev, S. N. and Mendes, J. F. F. (2000b). Evolution of reference networks with aging, Phys. Rev. E., 62, pp.1842-1845.
60. Dorogovtsev, S. N., Mendes, J. F. F. and Samukhin, A. N. (2000c). Structure of growing networks with preferential linking, Phys. Rev. Lett., 85, pp.4633-4636.
61. Dorogovtsev, S. N., Mendes, J. F. F. and Samukhin, A. N. (2000d). WWW and Internet models from 1955 till our days and the “popularity is attractive” principle, Condensed Matter Archive, cond-mat/0009090.
62. Dorogovtsev, S. N. and Mendes, J. F. F. (2001). Language as an evolving word Web, Proc. Royal Soc. London B, 268, No.2603, cond-mat/0105093.
63. Drucker, P. F. (1998). Harvard business review on knowledge management, Boston, Harvard Business School Press.
64. Faloutsos, M., Faloutsos, P. and Faloutsos, C. (1999). On power law relationships of the Internet topology, Comput. Commun. Rev., 29, pp.251-262.
65. Fensel, D., et al. (2001). OIL: an ontology infrastructure for the Semantic Web, IEEE Intelligent Systems, 16, No.2, Mar./Apr., pp.38-45.
66. Ferrer, R., Janssen, C. and Sole, R. V. (2001b). The topology of technology graphs: small-world patterns in electronic circuits, Phys. Rev.E., 64, No.32767.
67. Ferrer, R. and Sole, R. V. (2001a). The small-world of human language, Working Papers of Santa Fe Institute, http://www.santafe.edu/sfi/publications/Abstracts/01-03-004abs.htm.
68. Franz, T. et al. (2009) TripleRank: Ranking Semantic Web Data by Tensor Decomposition. In Proceedings of the International Semantic Web Conference, 2009, pp.213-228.
69. Freeman, L. (1979), Centrality in social networks: Conceptual clarification, Social Networks, 1, no. 3, pp. 215-239.
70. Freeman, L. (1977). A Set of Measures of Centrality Based on Betweenness, Sociometry, 40, no. 1, pp. 35-41.
71. Fikes, R. and Farquhar, A. (1999). Distributed repositories of highly expressive reusable ontologies, IEEE Intelligent Systems, 14, No. 2, Mar/April, pp.73-79.
72. Fortunato, S., Latora, V., and Marchiori, M. (2004). Method to find community structures based on information centrality, Physica Review E, 70, no. 5, p. 56-104.
73. Foster, I. (2000). Internet computing and the emerging Grid, 408, No.6815, Nature, http://www.nature.com/nature/webmatters/grid/grid.html.
74. Foster, I., Kesselman, C., Nick, J. M. and Tuecke, S. (2002). Grid services for distributed system integration, Computer, 35, pp.37-46.
75. Ganesan, P., Bawa, M. and Garcia-Molina, H. (2004) Online Balancing of Range- Partitioned Data with Applications to Peer-to-Peer Systems. VLDB ’04. pp.444-455.
76. Gevers, T. and Smeulders, A. W. M. (1999). The PicToSeek WWW image search system, Proc. IEEE International Conf. on Multimedia Computing and Systems, pp.264-269.
77. Girvan, M. and Newman, M. (2002). Community structure in social and biological networks, Proceedings of the National Academy of Sciences, 99, no. 12, p. 7821.
78. Goldberg, A. (1984). SMALLTALK-80: the interactive programming environment, Addison-Wesley Longman Publishing Co., Inc. Boston, MA, USA.
79. Gong, L. (2001). JXTA: a network programming environment, IEEE Internet Computing, 5, no.3, pp.88-95.
80. Gorlitz, O., Sizov, S. and Staab, S. (2008). PINTS: Peer-to-Peer Infrastructure for Tagging Systems, The 7th International Workshop on Peer-to-Peer Systems.
81. Govindan, R. and Tangmunarunkit, H. (2000). Heuristics for Internet map discovery, Proc. of the IEEE INFOCOM Conf., Tel Aviv, Israel, March, pp.1371-1380.
82. Gray, J. (2003). What next? A dozen information-technology research goals, Journal of the ACM, 50, No.1, pp.41-57.
83. Green, S. J. (1999). Building hypertext links by computing semantic similarity, IEEE Trans. On Knowledge and Data Engineering, 11, No.5, pp.713-730.
84. Grosz, B. J. and Kraus, S. (1996). Collaborative plans for complex group action, Artificial Intelligence, 86, pp.269-357.
85. Gupta, A. and Jain, R. (1997). Visual information retrieval, Communications of the ACM, 40, No.5, pp.71-79.
86. Gyssens, M. et al., (1994). A graph-oriented object database model, IEEE Transactions on Knowledge and Data Engineering, 6, No.4, pp.572-586.
87. Han, J. and Kambr, M. (2000). Data mining: concepts and techniques, Morgan Kaufmann Publishers.
88. Haridasan, M. and Renesse, R. (2008). Gossip-based Distribution Estimation in Peer-to- Peer Networks, the 7th International Workshop on Peer-to-Peer Systems.
89. Harmandas, V., Sanderson, M. and Dunlop, M. D. (1997). Image retrieval by hypertext links. Proc. 20th Annual International ACM SIGIR Conf. on Research and Development in Information Retrieval, pp.296-303.
90. Hammer, M. and McLeod, D. (1978) The Semantic Data Model: A Modeling Mechanism for Database Applications, SIGMOD78, pp.26-36.
91. Havil, J. and Dyson, F. (2003). The Harmonic Series, Chapter.2 in Gamma: Exploring Euler's Constant. Princeton, NJ: Princeton University Press.
92. Heflin, J. and Hendler, J. (2001). A portrait of the Semantic Web in action, IEEE Intelligent Systems, 16, No.2, Mar./Apr., pp.54-59.
93. Hendler, J and McGuinness, D. (2000). The DARPA agent markup language, IEEE Intelligent Systems, 15, No.6, Nov./Dec., pp.72-73.
94. Hendler, J. (2001). Agents and the Semantic Web, IEEE Intelligent Systems, 16, No.2, Mar./Apr., pp.30-37.
95. Henzinger, M. R. (2001). Hyperlink analysis for the Web, IEEE Internet Computing, 5, No.1, Jan./Feb., pp.45-50.
96. Heylighen, F. (1992). A Cognitive-systemic reconstruction of maslow's theory of self-actualization, Behavioral Science, 37, pp.39-58.
97. Huberman, B. A. and Adamic, L. A. (1999). Growth dynamics of the World-Wide Web, Nature, 401, 131p.
98. Huynh D.F. and Karger D.R. (2009). Parallax and companion: Set-based browsing for the data web, WWW09, pp.145-156.
99. Jeong, H., Tombor, B., Albert, R., Oltvai, Z. N., Barabasi, A. L. (2000). The large-scale organization of metabolic networks, Nature, 407, pp.651-654.
100. Jeong, H., Neda, Z. and Barabasi, A. L. (2003). Measuring preferential attachment for evolving networks, Europhysics letters, 61, pp.567-572.
101. Kanth, K., Agrawal, D. and Singh, A. (1998). Dimensionality reduction for similarity searching in dynamic databases, Proc. ACM SIGMOD International Conf. on Management of Data, 75, pp.166-176.
102. Kaashoek, M. F. and Karger G and Koorde, D. R. (2003). A Simple Degree-Optimal Distributed Hash Table. Proceeding of International Workshop on Peer-to-Peer Systems (IPTPS). (2003) 98-107.
103. Kee, K.-P., Swearingen, K., Li, K. and Hearst, M. (2003). Faceted metadata for image search and browsing, CHI03’ Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2003, April 5-10, 2003, Florida, USA.
104. Kermarrec, A.M., Massoulie, L. and Ganesh, A.J. (2003). Probabilistic Reliable Dissemination in Large-scale Systems, IEEE Transactions on Parallel and Distributed Systems, 14, no. 3, pp. 248-258.
105. Klein, M. (2001). XML, RDF, and relatives, IEEE Internet Computing, 16, No.2, Mar./Apr., pp.26-28.
106. Kleinberg, J. M. (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM, 46, No.5, pp.604-632.
107. Kleinberg, J and Lawrence, S. (2001). The structure of the Web, Science, 294, No.5548, pp.1849-1850.
108. Kleinberg, J. (2001) Small-World Phenomena and the Dynamics of Information, Proceeding of Advances in Neural Information Processing Systems (NIPS) 14, pp.431-415.
109. Krapivsky, P. L., Redner, S. and Leyvraz, F. (2000). Connectivity of growing random networks, Phys. Rev. Lett., l.85, pp.4629-4632.
110. Krapivsky, P. L. and Redner, S. (2001a). Organization of growing random networks, Phys. Rev. E., 63, cond-mat/0011094.
111. Krapivsky, P. L., Rodgers, G. J. and Redner, S. (2001b). Degree distributions of growing networks, Phys. Rev. Lett., 86, pp.5401-5404.
112. Krapivsky, P. L. and Redner, S. (2002). A statistical physics perspective on Web growth, Computer Networks, 39, pp.261-276.
113. Kumar, R. et al. (1999). Extracting large-scale knowledge bases from the Web, Proc. 25th VLDB Conf., Edinburgh, Scotland, September, pp.639-650.
114. Larry, P., Sergey, B., Motwani, R. et al. (1998). The PageRank citation ranking: Bringing order to the web, Online: http://citeseer.nj.Nec com/page98pagerank.html [04.06. 2003].
115. Latora, V. and Marchiori, M. (2004). A measure of centrality based on the network efficiency, Arxiv preprint cond-mat/0402050.
116. Lawrence, S. and Giles, C. L. (1998). Searching the World Wide Web, Science, 280, No.5360, pp.98-100.
117. Lawrence, S. and Giles, C. L. (1999). Accessibility of information on the Web, Nature, 400, No.8, pp.107-109.
118. Lazer, D. et al. (2009), Computational social science, Science, 323, no.5915, pp.721-723.
119. Lee, S., Yook, S., and Kim, Y. (2009). Centrality measure of complex networks using biased random walks, The European Physical Journal B, 68, no. 2, pp. 277-281.
120. Leland, W. E. et al. (1994). On the self-similar nature of Ethernet traffic, IEEE/ACM Transactions on Networking, 2, no.1, pp.1-15.
121. Lempel, R. and Moran, S. (2000). The stochastic approach for link-structure analysis (SALSA) and the TKC effect. Proc. 9th International WWW Conf., pp.387-401.
122. Lempel, R. and Soffer, A. (2001). PicASHOW: pictorial authority search by hyperlinks on the Web, Proc. 10th International WWW Conf., pp.438-448.
123. Levene, M., Fenner, T., Loizou, G. and Wheeldon, R. (2002). A stochastic model for the evolution of the Web, Computer Networks, 39, pp.277-287.
124. Leymann, F. and Roller, D. (1997). Workflow-based applications, IBM Systems Journal, 36, No.1, pp.102-122.
125. Licklider, J.C.R. (1960). Man-Computer Symbiosis, Transactions on Human Factors in Electronics, vol. HFE-1, pp.4-11, March.
126. Lieberman, H. (2008). A Creative Programming Environment, in HCI Remixed, T.Erickson and D.W.McDonald (Ed).
127. B. Libet, Mind Time, Harvard University Press, 2005.
128. Liu, Z. Q. and Satur, R. (1999). Contextual fuzzy cognitive maps for decision support in geographic information systems, IEEE Transactions on Fuzzy Systems, 7, No.10, pp.495-502.
129. Mack, R., Ravin, Y. and Byrd, R. J. (2001). Knowledge portals and the emerging knowledge workplace, IBM Systems Journal, 40, No. 4, pp. 925-955.
130. Maedche, A. and Staab, S. (2001). Ontology learning for the Semantic Web, IEEE Intelligent Systems, 16, No.2, Mar./Apr., pp.72-79.
131. Malkhi, D., Naor, M. and Ratajczak, D. (2002). Viceroy: A Scalable and Dynamic Emulation of the Butterfly. Proceeding of the 21st ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC ’02), pp.183-192.
132. Manku, G., Bawa, M. and Raghavan, P. Symphony, (2003), Distributed Hashing in a Small World. Proceeding of the 4th USENIX Symposium on Internet Technologies and Systems, pp.10-22.
133. Marchionini, G., Dwiggins, S., Katz, A. and Lin, X. (1990). Information roles of domain and search expertise, Library and Information Science Research, 15, no.1, pp.391-407.
134. Martin, P. and Eklund, P. W. (2000). Knowledge retrieval and the World Wide Web, IEEE Intelligent Systems, 15, no.3, May/June, pp. 18-25.
135. Martinez, N. D. (1991). Artifacts or attributes? Effects of resolution on the Little Rock Lake food web, Ecological Monographs, 61, pp.367-392.
136. Maybury, M. (2001). Collaborative virtual environments for analysis and decision support, Communication of the ACM, 14, no.12, pp. 51-54.
137. McCreight, E. M. (1976) A Space-Economical Suffix Tree Construction Algorithm. Journal of ACM, 23, no.2, pp. 262-272.
138. McHraith, S. A., Son, T. C. and Zeng, H. (2001). Semantic Web services, IEEE Intelligent Systems, 16, No.2, Mar./Apr., pp. 46-53.
139. Miao, Y., et al. (2001). Dynamic cognitive network, IEEE Transactions on Fuzzy System, 9, no.5, pp. 760-770.
140. Milgram, S. (1967) The Small World Problem. Psychology Today, 1, no.61.
141. Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., and Alon, U. (2002). Network Motifs: Simple Building Blocks of Complex Networks, pp. 824-827.
142. Mitri, M. (2003). Applying tacit knowledge management techniques for performance assessment, Computers & Education, 4, pp.173-189.
143. Mok, W.Y. (2002). A comparative study of various nested normal forms, IEEE Trans. on Knowledge and Data Engineering, 14, no.2, pp. 369-385.
144. Nasukawa, T. and Nagano, T. (2001). Text analysis and knowledge mining system, IBM Systems Journal, 40, no. 4, pp. 967-984.
145. Nejdl, W. et al. (2002). Edutella: a P2P Networking Infrastructure Based on RDF, Proceedings of the 11th International Conference on World Wide Web, pp. 604-615.
146. Newman, M. E. J. et al. (2001a). Random graphs with arbitrary degree distribution and their applications”, Phys. Rev. E, 64, no.026118, cond-mat/0007235.
147. Newman, M. E. J. (2001b). The structure of scientific collaboration networks, Proc. Nat. Acad. Sci. U.S.A., 98, pp.404-409.
148. Newman, M. E. J. (2001c). Scientific collaboration networks: I. Network construction and fundamental results, Phys. Rev. E, 64, No.016131.
149. Newman, M. E. J. (2001d). Scientific collaboration networks: II. Shortest paths, weighted networks, and centrality, Phys. Rev. E, 64, No.016132.
150. Newman, M. E. J. (2001e). Who is the best connected scientist? A study of scientific coauthorship networks, Phys. Rev. E, 64, No.016131.
151. Newman, M. (2004). Analysis of weighted networks, Physical Review E, 70, no. 5.
152. Ng, W.S. et al. (2003). PeerDB: A P2P-Based system for distributed data sharing, Proc. of International Conf. on Data Engineering, ICDE2003, Bangalore, India.
153. Nieminen, J. (1974). On the centrality in a graph, Scandinavian Journal of Psychology, 15, no. 1, pp. 332-336, 1974.
154. Nissen, M. E. (2002). An extended model for knowledge-flow dynamics, Communications of the Associations for Information Systems, 8, pp. 251-266.
155. Nonaka, I. (1994). A dynamic theory of organizational knowledge creation, Organization Science, 5, No.1, pp. 14-37.
156. Nowak, M. A., Komarova, N. L., and Niyogi, P., Computational and Evolutionary Aspects of Language, Nature, 417(2002) 611-617.
157. Oida, K. (2002). The birth and death process of hypercycle spirals, in: R.K. Standish, M.A. Bedau, H.A. Abbass, edd., Artificial Life VIII, MIT Press.
158. Oren, E., Delbru R. and Decker, S. (2006). Extending Faceted Navigation for RDF Data, ISWC2006, pp.559-572.
159. O’Leary, D. E. (1998). Enterprise knowledge management, Computer, 31, no.3, pp.54-61.
160. O'Neil, P. O'Neil, E., Pal, S., Cseri, E. and Schaller, G. (2004), ORDPATHs: Insert- Friendly XML Node Labels, SIGMOD, pp. 903-908.
161. Ozsoyoglu, Z. M. and Yuan, L. Y. (1987). A new normal form for nested relations, ACM Trans. Database Systems, 12, no.1, pp.111-136.
162. Pansiot, J. J. and Grad, D. (1998). On routes and multicast trees in the Internet, Computer Communications Review, 28, pp.41-50.
163. Parise, S. and Henderson, J. C. (2001). Knowledge resource exchange in strategic alliances, IBM Systems Journal, 40, no. 4, pp.908-924.
164. Peltz, C. (2003). Web Services Orchestration and Choreography, Computer, 36, no.10, pp. 46-52
165. Perra, N. and Fortunato, S. (2008). Spectral centrality measures in complex networks, Physical Review E, vol. 78, no. 3, pp. 036107.
166. Pittel, B. On Spreading a Rumor, (1987). SIAM Journal of Applied Mathematics, 47, no. 1, pp. 213-223.
167. Raman, V. and Hellerstein (2001), J. M. Potter's wheel: An interactive data cleaning system, VLDB2001, Roma, Italy.
168. Ratnasamy, S. et al. (2001). A Scalable Content-addressable Network, ACM SIGCOMM Symposium on Communication, Architecture, and Protocol, pp.161-172.
169. Redner, S. (1998). How popular is your paper? An empirical study of the citation distribution, European Physics Journal B, 4, pp.131-134.
170. Renesse, R. V., Minsky, Y. and Hayden, M. (1998). A Gossip-style Failure Detection Service, Middleware98: IFIP International Conference, Distributed Systems and Platforms and Open Distributed Processing, pp. 55-70.
171. Ritter, F. E., Baxter, G. E., Jones, G and Young, R.M. (2000). Supporting cognitive models as users, ACM Trans. on Computer-Human Interaction, 7, no.2, pp.141-173.
172. Robertson, S., Walker, S., and Beaulieu, M. (1998). Okapi at TREC-7: Automatic ad hoc, filtering, VLC and interactive. Proceedings of the 7th text retrieval conference (TREC-7), NIST special publication, pages 500-242.
173. Rowstron, A. and Druschel, P. (2001). Pastry: Scalable, Distributed Object Location and Routing for Large-scale Peer-to-Peer Systems, International Conference on Distributed Systems Platforms, pp. 329-350.
174. Sabidussi, G. (1966). The centrality index of a graph, Psychometrika, 31, no. 4, pp. 581-603, 1966.
175. Simon, H. A. (1955). On a class of skew distribution functions, Biometrika, 42, pp.425-440.
176. Simon, H. A. and Van Wormer, T. (1963). Some Monte Carlo estimates of the Yule distribution, Behavioral Sci., 8, pp.203-210.
177. Srihari, R. K., Zhang, Z. and Rao, A. (2000). Intelligent indexing and semantic retrieval of multimodel documents, Information Retrieval, 2, no.2, pp. 245-275.
178. Stoica, I. et al., (2003). Chord: A scalable Peer-to-Peer lookup protocol for Internet applications, IEEE/ACM Transactions on Networking, 11, pp. 17-32.
179. Sun, X. (2010), OSLN: An Object-Oriented Semantic Link Network language for complex object description and operation. Future Generation Computer Systems, 26, no.3, pp.389-399
180. Tari, Z., Stokes, J. and Spaccapietra, S. (1997). Object normal forms and dependency constraints for object-oriented schemata, ACM Trans. Database Systems, 22, no.4, pp.513-569.
181. Tatarinov, I. et al. (2003). The Piazza Peer Data Management Project, SIGMOD Record, 32, no. 3, pp. 47-52.
182. Tempich, C., Staab, S. and Wranik A. (2004). REMINDIN’: Semantic Query Routing in Peer-to-Peer Networks Based on Social Metaphors, Proceedings of the 13th international conference on World Wide Web, pp. 640-649.
183. Thistlewaite, P. (1997). Automatic construction and management of large open Webs, Information Processing and Management, 33, no.2, pp. 145-159.
184. Thomas, J. C., Kellogg, W. A. and Erickson, T. (2001). The knowledge management puzzle: Human and social factors in knowledge management, IBM Systems Journal, 40, no. 4, pp.863-884.
185. Tudhope, D. and Taylor, C. (1997). Navigation via similarity: automatic linking based on semantic closeness, Information Processing and Management, 33, no.2, pp.233-242.
186. Turing, A.M. (1950). Computing machinery and intelligence, Mind, vol.59, no.236, pp.433-460.
187. Ullman, J. D. (1988). Principles of database and knowledge-base systems, Computer Science Press, Inc.
188. Valverde, S., Cancho, R. F. and Sole, R. V. (2002). Scale-free networks from optimal design, Europhysics Letters, 60, pp.512-517.
189. W. Vogels, R. V. Renesse, and K. Birman. (2003) The Power of Epidemics: Robust Communication for Large-Scale Distributed Systems. ACM SIGCOMM Computer Communication Review. 33, no.1, pp.131-135.
190. Warshall, S.(1962). A theorem on boolean matrices, J. ACM, 9, no. 1, pp. 11-12.
191. Wasserman, S. and Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press.
192. Watts, D. J. and Strogatz, S. H. (1998). Collective dynamics of “Small-world” networks, Nature, 393, pp.440-442.
193. Watts, D. J. (1999). Networks, dynamics, and the small-world phenomenon, Am. J. Sociol., 105, pp.493-592.
194. Wilks, Y. Is There Progress on Talking Sensibly to Machines? Science, 5852 (318) 927- 928.
195. Yang, B. and Garcia-Molina, H. (2002). Efficient Search in Peer-to-peer Networks, International Conference on Distributed Computing Systems, pp.5-14.
196. Yook, S. H. et al. (2002). Modeling the Internet’s large-scale topology, Proc. the National Academy of Sciences, pp. 13382-13386, cond-mat/0107417.
197. Zeng Q., Jiang X. and Zhuge, H. (2012). Adding logical operators to tree pattern queries on graph-structured data, VLDB 2012.
198. Zhao, B. Y., Kubiatowicz, J.D. and Joseph, A.D. (2001). Tapestry: An Infrastructure for Fault-resilient Wide-area Location and Routing, Technical Report UCB/CSD-01- 1141, U.C.Berkeley.
199. Zhu, Y. W., Wang, H. and Hu, Y. M. (2003). Integrating Semantic-Based Access Mechanisms with Peer-to-Peer File System, Proceedings of the 3rd International Conference on Peer-to-Peer Computing, pp. 118-125.
200. Zhuge, H. (1998). Inheritance rules for flexible model retrieval, Decision Support Systems, 22, no.4, pp. 383-394.
201. Zhuge, H. (2000a). Conflict decision training through multi-space co-operation, Decision Support Systems, 29, no. 5, pp.111-123.
202. Zhuge, H., Cheung, T. Y. and Pung, H. K. (2000b). A timed workflow process model, Journal of Systems and Software, 55, no.3, pp.231-243.
203. Zhuge, H. (2002a). A Knowledge Grid model and platform for global knowledge sharing, Expert Systems with Applications, 22, no.4, pp.313-320.
204. Zhuge, H. (2002b). A knowledge flow model for peer-to-peer team knowledge sharing and management, Expert Systems with Applications, 23, no.1, pp.23-30.
205. Zhuge, H. (2002c). Clustering soft-device in the Semantic Grid, IEEE Computing in Science and Engineering, 4, no.6, Nov./Dec., pp.60-62.
206. Zhuge, H. (2003b). China e-science Knowledge Grid Environment, IEEE Intelligent Systems, 19, No.1, Sep./Oct., pp. 13-17.
207. Zhuge, H. (2003c). Workflow-based cognitive flow management for distributed team cooperation, Information and Management, 40, no.5, pp.419-429.
208. Zhuge, H. (2003d). Active e-Document Framework ADF: model and tool, Information and Management, 41, no.1, pp. 87-97.
209. Zhuge, H. and Shi, X. (2003e). Fighting epistemology in knowledge and information age, Computer, 36, no.10, pp. 114-116.
210. Zhuge, H. (2004a). Resource Space Model, its design method and applications, Journal of Systems and Software, 72, no.1, pp. 71-81.
211. Zhuge, H. (2004b). Semantics, resources and Grid, Future Generation Computer Systems, Special issue on Semantic Grid and Knowledge Grid: the Next-generation Web, editorial, 20, no.1, pp.1-5.
212. Zhuge, H. (2004c). Fuzzy resource space model and platform, Journal of Systems and Software, 73, no.3, pp.389-396.
213. Zhuge, H. (2004d). Resource Space Grid: model, method and platform, Concurrency and Computation: Practice and Experience, 16, no.13.
214. Zhuge, H. (2004e). Retrieve images by understanding semantic links and clustering image fragments, Journal of Systems and Software, 73, no.3, pp.455-466.
215. Zhuge, H. (2004f). Toward the eco-grid: a harmoniously evolved interconnection environment, Communications of the ACM, 47, no.9, pp.78-83.
216. Zhuge, H. (2004g). Semantics, Resource and Grid, Future Generation Computer Systems, 20, no.1, pp.1-5.
217. Zhuge, H. (2005a). The Future Interconnection Environment, IEEE Computer, 38, no.4, pp.27-33.
218. Zhuge, H. (2005b). Exploring an Epidemic in an E-Science Environment, Communications of the ACM, 48, no.9, pp.109-114.
219. Zhuge, H. et al. (2005c), Query Routing in a Peer-to-Peer Semantic Link Network Computational Intelligence, 21, no. 2, pp. 197-216.
220. Zhuge, H. (2005d). Semantic Grid: Scientific Issues, Infrastructure, and Methodology. Communications of the ACM, 48, no.4, pp.117-119.
221. Zhuge, H., Sun, X., Liu, J., Yao, E. and Chen, X., (2005). A Scalable P2P Platform for the Knowledge Grid, IEEE Transactions on Knowledge and Data Engineering, 17, no.12, pp.1721-1736.
222. Zhuge, H. (2006). Discovery of Knowledge Flow in Science, Communications of the ACM, 49, no. 5, pp. 101-107.
223. Zhuge, H. (2007). Autonomous Semantic Link Networking Model for the Knowledge Grid, Concurrency and Computation: Practice and Experience, no.19, pp.1065-1085.
224. Zhuge H. and Li, X. (2007), Peer-to-Peer in Metric Space and Semantic Space, IEEE Transactions on Knowledge and Data Engineering, 19, no. 6, pp. 759-771.
225. Zhuge H. and Feng, L. (2008), Distributed Suffix Tree Overlay for Peer-to-Peer Search, IEEE Transactions on Knowledge and Data Engineering, 20, no.2, pp.276-285.
226. Zhuge, H. (2008). The Knowledge Grid Environment, IEEE Intelligent Systems, 23, no. 6, pp.63-71.
227. Zhuge, H. and Sun, X. (2008). A Virtual Ring Method for Building Small-World Structured P2P Overlays, IEEE Transactions on Knowledge and Data Engineering, 20, no.12, pp.1712-1725.
228. Zhuge, H., Xing, Y. and Shi, P. (2008). Resource Space Model, OWL and Database: Mapping and Integration, ACM Transactions on Internet Technology, 8, no.4.
229. Zhuge, H., Chen, X., Sun, X. and Yao, E. (2008), HRing: A Structured P2P Overlay Based on Harmonic Series, IEEE Transactions on Parallel and Distributed Systems, 19, no.2, pp.145-158.
230. Zhuge, H. and Feng, L. (2008). Distributed Suffix Tree Overlay for Peer-to-Peer Search, IEEE Transactions on Knowledge and Data Engineering, 20, no.2, pp.276-285.
231. Zhuge, H. (2009), Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning, IEEE Transactions on Knowledge and Data Engineering, 21, no.6, pp.785-799.
232. Zhuge, H. and Sun, Y. (2010) The schema theory for semantic link network. Future Generation Computer Systems, 26, no.3, pp. 408-420.
233. Zhuge, H. (2010) Interactive Semantics, Artificial Intelligence, 174, no.2, pp.190-204.
234. Zhuge, H. (2011) Semantic linking through spaces for cyber-physical-socio intelligence: A methodology, Artificial Intelligence, 175, pp.988-1019.