Application of Information Extraction in Oil Search Engine

With the advancement of internet technology, data on internet have become increasingly huge. Therefore, how to find out the valuable pages from a magnitude of information has been an urgent problem, which should be followed upright. Tradition search engines, based on the query of keywords, have no ability of understanding user demand well. To make up with its deficiency, the concept in which it is combined with technology of information exaction, which adopts simple technology of nature language including technologies of Named Entity Recognition and Hidden Markov Model, syntax analysis, tempo analysis and reasoning technology, is implemented in our search engine for the Oil field is introduced in the paper. Thereby, the vertical search engine is just in possession of the ability of discovering user demand so that it can give back the exact result to users. Besides, it makes use of Regular Expression technology to deal with those which are simple and have no need to make more reasoning to reduce the complicacy of algorithm.