基于自我意識(shí)的WEB語義結(jié)構(gòu)研究
[Abstract]:In order to make people find the information they want to browse more quickly and accurately when they surf the Internet, this paper combines dynamic ontology and agent's self-consciousness theory on the basis of semantic web. This paper puts forward the concept of mesh agent and the basic idea and overall framework of semantic web based on self-awareness, describes its work flow, and describes the composition and structure of its three basic elements, website agent, mesh agent and customer agent. Mesh agent is the core of semantic web based on self-consciousness. It has the habit preference of users browsing web information when they surf the Internet, and has a comprehensive understanding of the current state of the dynamic ontology of the Internet, which is composed of many websites agent. Therefore, Mesh agent can provide personalized services for users according to user preferences and the current state of the Internet, so that users can access the Internet more conveniently and effectively. The cognition of mesh agent to the current state of the Internet is the semantic structure of web, which mainly includes the information object owned by mesh agent to the website agent, and the classification relationship of the website. In order to explore the classification relationship of websites in the Internet and design the semantic structure of web, this paper proposes a classification clustering algorithm of website eigenvalues based on subject words. Through this algorithm, more than 30,000 websites are randomly divided into 300 categories. The algorithm can be divided into three stages. In the subject word collection stage, the crawler crawls millions of web pages, grabs the subject words on it and optimizes them. In the stage of obtaining the eigenvalues of the website, the structure of the eigenvalues of the website is designed, the subject words are located and assigned, and the eigenvalues of each website are obtained one by one for file storage. In the stage of website classification, the idea of cardinality sorting is used to sort the website, and then the distance between adjacent websites is calculated, and the website is classified according to the distance value. Finally, according to the results of website clustering, the semantic structure of WEB is designed.
【學(xué)位授予單位】:西安工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP393.0
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