摘要
组织专家的检索是当前垂直信息检索研究的热门领域,也是组织信息检索研究的重要内容。本文总结了目前国内外组织专家的检索研究现状,分析了构建组织专家的检索系统的需求和挑战,采用基于相关文档集的归并排序法,利用组织内外的网页和期刊数据库等信息智能识别专家的专长,并基于此设计了从数据资源采集、规整、索引、检索到可视化等整个过程的组织专家的检索系统模型及以武汉大学为例的检索系统平台。
As an important part of Organization Information Retrieval, Organization Expert Search is the current hot area in Vertical Information Retrieval research. Based on the analysis of the requirement and challenges, this paper summarizes the current development of the expert search, and proposes a general architecture of the organization expert search system, which contains data collections, sorting, indexing, retrieving, visualizing and so on, by using the relevant web pages and academic database as the data collections. At last, we construct an expert search system taking Wuhan University as an example.
出处
《情报学报》
CSSCI
北大核心
2008年第5期657-663,共7页
Journal of the China Society for Scientific and Technical Information
基金
本文为国家社科基金项目(编号:06CTQ006)成果之一.
关键词
专家检索
专长识别
组织检索
专家聚类
expert search, expertise recognition, organization search, expert clustering