Information Fusion With Subject-Based Information Gathering Method for Intelligent Multi-Agent Models

نویسندگان

  • Xiaohui Tao
  • John D. King
  • Yuefeng Li
چکیده

This paper addresses the problem of information fusion using a multi-agent information gathering system. We present a hierarchical subject-based query expansion method, followed by a cooperative fusion algorithm for unstructured documents. We evaluate the performance using the traditional methods of precision and recall. The results show that the subject-based fusion method is promising and efficient.

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تاریخ انتشار 2005