The Technology of Web Information Extraction and Its Application in the TBT Early-Warning System
网络信息抽取技术及其在TBT预警中的应用*

This paper researches into an information technology, which could real-timely extract the interested information from data-type Web pages. The technology we employ could intelligently identify table structures, and automatically separate different kinds of data. In the process of analyzing and classifying data, it adopts the combination of sorting by words and dividing by table structure, which depends on the idea of ontology and aggregates a series of mature models, such as SVM and HMM. The technology, which has passed the test, is applied into a dynamic information gathering system of a TBT early-warning system and does a good work.