FOAF user classification based on SVM

Different from the user low level data information analysis, such as basic FOAF information: name, email, address, etc., semantic analysis can be turned such low level information into a high-level knowledge representation. Combined with the user FOAF file and semantic knowledge representation mechanism can form the user unified information framework. Through the FOAF semantic analysis, the businessman can not only recommended products efficiently according to the user´s static registration information, but also quickly and easily reuse this information, realizing the user´s interest mining and new user group found. Therefore, in view of “users interested mining for products recommendation”, “the user´s friends - new user group found”, FOAF semantic analysis is the key to solve these two problems. In user recommendation and user management, in this paper, we focus how to classify FOAF user based on SVM(Support vector Machine).