The Face Database Development of Science and Technology Expects Based on Web Mining

Abstract

For the Face database system by Web mining of science and technology experts, the Web mining data include the faces of science and technology experts, name, gender, title, schools and other properties. The Python programming language and the establishment of the Django framework are used in the proposed system. According to the Web extracting, the basic information of science and technology experts is extracted by the URL filtering. The face data of science and technology experts extracting is obtained by OpenCV libraries. As a result, it can detect face and cut them out. The extraction also adopts the semantic analysis method which uses predefined keywords segmented in the web page text to calculate the shortest distance. The face date of science and technical experts downloaded are deposited in local folder, and then the absolute path got by means of folder traversal is stored in the MySQL database system which can achieve the query and statistics of basic information of science and technical experts.