Abstract
This paper discusses the problem of information fusion for agent-based information gathering systems. The framework of information gathering in multi-agent environments is presented firstly, and then a cooperative fusion algorithm is presented for unstructured documents. The performance is also made by the traditional methods precision and recall, and it shows that the fusion algorithm is efficient.
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References
J. P. Callan, Z. Lu and W. B. Croft, Searching distributed collections with inference networks, in Proceedings of SIGIR’95, 1995, 21–29.
O. Etzioni, Results from using the metacrawler, in Proceedings of 4th WWW Conference, F. Varela and P. Bourgine (Eds.), MIT Press, Cambridge, MA, 1995.
N. Fuhr, A decision-theoretic approach to database selection in networked IR, ACM Transactions on Information Systems, 1999, 17(3): 229–249.
A.E. Howe and D. Dreilinger, Savvy Search: a metasearch engine that learns which search engines to query; AI Magazine,1997, 18(2): 19–25.
N. R. Jennings, K. Sycara and M. Wooldridge, A Roadmap of agent research and development, Autonomous Agents and Multi-Agent Systems, 1998, 1(1): 7–38.
V. Lesser et al., BIG: an agent for resource-bounded information gathering and decision making, Artificial Intelligence, 2000, 118: 197–244.
A. Y. Levy and D. S. Weld, Intelligent Internet systems, Artificial Intelligence, 2000, 118: 1–14.
Y. Li, Modeling intelligent agents for Web-based information gathering, PhD Thesis, Deakin University, 2000.
Y. Li, C. Zhang, and J. R. Swan, An information filtering model on the Web and its application in JobAgent, Knowledge-based Systems, 2000, 13(5): 285–296.
W. Meng, K. Liu, C. Yu, X. Wang, Y. Chang, and N. Rishe, Determining text databases to search in the Internet, in Proceedings of 24th VLDB Conference, 1998. Extended version.
E. M. Voorhees, N. K. Gupta, and B. Johnson-Laird, The collection fusion problem, in Proceedings of TREC-3, 1995, 95–104.
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© 2001 Springer-Verlag Berlin Heidelberg
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Li, Y. (2001). Information Fusion for Intelligent Agent-Based Information Gathering. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_55
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DOI: https://doi.org/10.1007/3-540-45490-X_55
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