SNSearch:一个社交网络数据搜索引擎
首发时间:2013-01-05
摘要:随着社交网络的发展,由用户创建的在线社交网络数据正在急速地增长。用户很难通过传统搜索引擎找到感兴趣的社交网络数据。本文介绍了一个新颖的社交网络数据搜索引擎SNSearch,该引擎从多个流行的社交网络中收集数据,并基于特定的数据可见性模型,向用户提供异构社交网络数据的搜索服务。SNSearch的贡献在于:1)在数据集成过程中,SNSearch通过构建本体将异构社交网络数据集成为统一的RDF数据;2)在检索过程中,通过K-步可见模型刻画了不同社交网络的访问控制策略,保证了用户的隐私。
For information in English, please click here
SNSearch: A Search Engine for Social Network Search
Abstract: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.
Keywords: Social Data Ontology Access Control
论文图表:
引用
No.****
同行评议
共计0人参与
勘误表
SNSearch:一个社交网络数据搜索引擎
评论
全部评论0/1000