An Information Update Method Towards Internal Search Engine
Zhifan Bian, Yukun Li, Tinghai Yue, Pengfei Lei, Dexin Zhao, Yingyuan Xiao · 2015
To enterprises or other organizations, how to efficiently manage unstructured and semi-structured data on the web becomes an important problem. Internal search engine is well-used to deal with it, but how to efficiently find the latest updates of web sources is still a research issue. In this paper, we proposed a graph-based method to efficiently locate the updated information of an organization's web resources, which is based on modeling an organization's information resources with a graph and marking each web page with a parameter "update cycle" that represents the possibility of a web page to be updated and is taken as a factor to tune the algorithm of update identification. By this method, the latest updated information can be located in time. The experiments' results show the effectiveness of our method.