关键词: 检索, 网页特征表, 倒排文件, 实时性

Abstract: The paper studies fast retrieval technique of Chinese webpage based on inverted keywords.Under the premise of establishing a large of webpage corpus，the webpage keyword feature vectors are generated by using the keyword dictionary and the optimized forward largest segmentation algorithm in the status of offline.Then a compressed format of the webpage feature table is produced by dimension reducing on the feature vectors.Finally，an inverted keyword file is established according to the frequency of the keywords reference in all of the webpage and the webpage feature table.In the experiment，by contrastively accessing three data sources，namely the original webpage database，the feature table and the inverted file，the retrievals of the Chinese webpage keywords are implemented respectively，and comparison of the three retrieval methods are given on testing the real-time ability.The experiment shows that，the inverted file retrieval algorithm based on keywords is enormously superior on real-time to the other two methods.

Key words: retrieval, webpage feature table, inverted file, real-time