Research of People Disambiguation by Combining Multiple knowledges

With the rapid development of Internet and many related technology, Web has become the main source of information. For many search engines, there are many different identities in the returned results of character information query. Thus the Research of People disambiguation is important. In this paper we attempt to solve this problem by combing different knowledge. As people usually have different kind of careers, so we first utilize this knowledge to classify people roughly. Then we use social context of people to identify different person. The experimental results show that these knowledge are helpful for people disambiguation.