互联网科技专家搜索系统

摘要

提出和设计了一个为用户自动收集、分析和整理科技专家信息的科技专家搜索系统.描述了互联网科技专家搜索系统的体系结构、主要特征和关键技术.系统采用基于特征向量的分类算法,设计了一种适合于互联网大规模科技专家信息抽取的方法,利用互联网上的信息资源高效的抽取专家信息、挖掘专家学术关系,为科技专家发现和搜索研究提供了一种新的思路.%This paper proposes and designs a technology experts searching system which can automatically collect,analysis and access information of technology expert.It describes the system's structure,main function and key technology.Based on the classification algorithm of feature vector,this paper addresses to design a kind of method suitable for large-scale information extraction,it can effectively extract and mining academic social networks from the information resources on the Intemet.It provides a new train of thought for science and technology expert information extraction research.