Research On Web Information Extraction Technology Based On Frame Semantic Tagging

With the rapid development of Internet, web has becomed the global information source, which provides an ideal place for sharing and communication information. However, it's hard for user to get access to the needed and useful information quickly and correctly by traditional search engine. A new technical-information extraction has been put forword. Information extraction can extract auto-matically useful information from web (text) . It has been became an important research topic in the intelligent information processing field. These information extracted from the web site can not only provide the user but also be a foundation resource of the intelligent query system and data mining system. Information extraction has very broad application . prospects.This paper presents the background, history of information extraction, reviews the information extraction state of Internet, analysis several important tools of information extraction. And we analysis some disadvantages of current information extraction techniques. Bacause of the advantages of frame sematics in sematics information indicated, a new method of information extraction base on frame sematics tagging was put forword to resolve this issue of losing sematics or too brief sematics information in the results of information extraction, frame sematiocs have some advantages in sematics indicated .This paper explain the thinking of information extraction technical based on frame semantic tagging to constructing the web's book information extraction system based on frame semantic tagging—intergrating frame semantic network technology, domain ontology and information extraction technology. when text's information extracted , firstly,it was tagginged. then summarized the rules of extraction according to the results of tagging and domail ontology's knowledge . The method's character lies in frame sematics tagging as basis fo the building information extraction rules in extraction process, and guide the information extraction process by an unified method which building information model as core of sematics role,the model of information rise to the semantic role ,so as to achieve the information extracted with a clear semantic informaiton.The system is of great importance on information extraction based on semantic. Furthermore, the architecture of the system and design of the main components are also valuable for other IE Systems.