Study of information extraction for agri-topic search engine
QI Yun-yun · Jisuanji gongcheng yu sheji · 2009
Auto-text information extraction is a important research field of the topic search engine. A presentation and extraction model is put forward for spatio-temporal information based on the research of the agricultural page including trade information. The model de- fines the data by three vectors that not only represents the current status of data object but also reflect the history status and space status and designs the K-EA algorithm. The test shows that the algorithm has a good recall ratio and precision degree for the spatio-temporal data.