An Intelligence Searching Method Of Scinetific Articles

In this paper we represent a new idea of searching related text information on web. The syntactical characters of related keywords and texts are described detail,which do not involve semantics of the keywords. So computers can find related keywords and texts without understanding their meanings. For future information search, we propose scientific articles in the Selected keywords, keyword articles of the weight to be calculated, and the corresponding weight of each keyword flagged. Key words can be summarized in this article means the ability of the higher, the higher its weight, and vice versa reduced. Keywords computer by calculating the relevance and weight, can be more convenient and more accurate to help us find the necessary articles, and even many traditional methods can not find the article. On this basis, we propose a search for scientific articles in the intelligent search methods.Intelligent search method for this paper provides the algorithm. We did a number on the Internet corresponding experimental and contrast, found that the thought has high feasibility and effectiveness. We conclude that the experimental results from a comprehensive analysis, the goal is to more accurately identify the more scientific papers. In the paper we had a very strict definition of the concepts required, in particular, the definition is based on the relevance of grammatical features of the concept.Thesis proposed method does not require a computer to understand the word meanings, than the traditional method can search for more and better scientific articles. Therefore, the search technology for our research paper is of great significance.