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

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

INFORMATION FUSION WITH SUBJECT-BASED INFORMATION GATHERING METHOD FOR INTELLIGENT MULTI-AGENT MODELS

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