Research And Design Of Internet-based People Resume Q & A System

Since the 20th century,90 years, the Internet has quickly penetrated into people's lives and works and information on the Internet has became more and more. how to get information needed by people from the mass information on the internet fast and accurate has became an urgent problems needed to be addressed. Although current search engines such as Baidu,Google,Yahoo, has made a great success to retrieval the online information, but these search engines are designed to describe the problem with keyword combinations, which leads users sometimes can not be accurately representation of their needs.In addition, the search engine returns a large number of web pages associated with the query keywords,in these pages list information is often only a few actually needed by user. Traditional search engines lack in these areas has attracted the attention of information technology researchers, in the current Q&A search engine based on natural language has become an important trend of next-generation search engine. Resent years, the Automatic Question Answering technique has become a popular research field in Natural Language Processing.The knowledge base of the traditional Q&A system is generally based on the set of fixed texts, while the abundant information in the Web provides the Q&A system with another kind of resources.Nowadays, there are a lot of researchs about open domain question-answering(Q&A) system, including the questions about people information, time, location, historical events and professional technology. Moreover, the research and application about the strict domains Q&A system which face the questions above will accelerate the development of the open domains Q&A system. This paper focus on the biography answer extracion solution and the design of the Q&A system.This paper develops a Web-based Restricted Chinese QA system, Testing with a small set of queries on people resume, and improving high precision of the system. The knowledge base of the traditional Q&A system is generally based on the set of fixed texts,it does not meet the variety of needs of the users.If we can combine the rich network resources and the Q&A system,we can solve the question and answer system knowledge and the search engine returns the bottleneck problem of information overload.including some of the following:Firstly, the paper analyzes the current status of domestic and foreign research on the Q&A system and clear the development path of the Q&A system and technical features; Secondly, This paper analyzes the general structure of the Q&A and determine the Q&A system should include at least three functional modules:analysis problem module, retrieval information module, extraction answer module; Finally, This paper devises the structure and database of the people resume Q&A system based on the general structure of the Q&A system, obtains the data flow, the characters resume templates, data sheets and system E-R model.