摘要
异质知识网络是Web2.0的基础,其中的相关度算法是实现通过信息检索人、资源或通过人检索信息、资源的关键。然而目前的相关度算法研究大多局限于同质知识网络,忽略了在异质知识网络中的研究。因此,本文结合异质知识网络所具有的特性,明确异质知识网络相关度的定义,进而对现有的相关度算法分析的基础上,总结并归纳适用于异质知识网络的相关度算法,并根据Web2.0环境下产生的社会性信息检索需求,进一步说明其未来的发展趋势。
Heterogeneous knowledge network is the foundation of Web 2.0.Relatedness algorithms in those networks are critical for retrieving people,resources through information or retrieving information through people,resources.But the current research is limited to homogeneous knowledge networks and ignores that in heterogeneous knowledge networks.For the above,this paper puts forward the definition of the relatedness of heterogeneous knowledge network,summarizes the relatedness algorithms for heterogeneous knowledge networks,and shows its future trends,based on the analysis of existing relatedness algorithms and social information search requirements caused by Web 2.0.
出处
《情报学报》
CSSCI
北大核心
2011年第5期495-502,共8页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金（批准号：07CTQ006）
关键词
异质知识网络
同质知识网络
相关度算法
heterogeneous knowledge networks
homogeneous knowledge networks
relatedness algorithm
