SNSearch：一个社交网络数据搜索引擎

With the rapid growth of social networks, the amount of social data created by end-users becomes huge. Users feel difficult to find interested data through the use of traditional search engines. This paper introduce a novel search engine for social data - SNSearch, this engine collects data from various social network, and provide search service for heterogeneous social data under a data visibility model. The contribution of this system lies on: 1) the system uses an ontology in the process of data integration; 2) in the search process, a k-step visibility model is introduced to characterize the access control policy of different social networks.