Structure Search Over Large Scale Heterogeneous Information Networks

异构信息网络结构搜索在网络安全、犯罪侦查、社交媒体、营销推荐、公共卫生等领域有着广泛的应用。本项目旨在为大规模HINs的高效结构搜索开发新技术，奠定科学基础。预期的结果包括新的计算范例、算法、索引、增量计算和分布式解决方案。该项目的成功将直接为大数据计算奠定科学基础。该计划亦会促进本地产业的发展，包括网络安全、社交媒体推荐、网络管理、知识图谱和电子商务。

Structure search on heterogeneous information networks (HINs) has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to develop novel techniques for efficiently conducting structure search on large scale HINs and lay the scientific foundations. The anticipated outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The success of the project will directly contribute to the scientific foundation of Big Data computation. It will also contribute to the development of local industry involving cybersecurity, social media-based recommendation, network management, knowledge graphs, and E-business.