III: Medium: Collaborative Research: Towards On-Line Analytical Mining of Heterogeneous Information Networks

该奖项是根据2009年《美国复苏和再投资法案》(公法111-5)提供资金的。这项建议旨在解决涉及OLAP(在线分析处理)的广泛研究挑战。这个合作项目关注的是提高信息网络的分析处理能力。信息网络一直在迅速扩张，并吸引了从入侵模式检测到社会社区发现的广泛学术兴趣。典型的信息网络包括通信网络、社交网络、Web和生物网络。与日益普及和规模越来越大的信息网络形成对比的是，缺乏利用网络中所含信息的一般分析处理框架。缺乏这样的框架阻碍了个性化导航和交互式知识探索。这项工作通过扩展底层网络的结构发现、网络总结和自我质量保证的方法来支持INFONET-OLAP框架。如果成功，这些技术将简化信息网络分析处理，并将现有的即席图形探索工作转变为一个统一的框架，就像传统的OLAP对多维数据分析所做的那样。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). This proposal seeks to address a wide range of research challenges involving OLAP (OnLine Analytical Processing). This collaborative project is concerned with increasing the ability for analytical processing for information networks. Information networks have been expanding rapidly and attract broad scholarly interest ranging from intrusion pattern detection to social community discovery. Typical information networks include communication networks, social networks, the Web, and biological networks. In contrast to the rising popularity and increasing scale of information networks, there is a lack of general analytical processing frameworks for exploiting the information contained in the networks. The lack of such frameworks inhibits personalized navigation and interactive knowledge exploration. The work supports the Infonet-OLAP framework by extending methods for structure discovery, network summarizations, and self quality assurance of underlying networks. If successful, the techniques would simplify information network analytical processing and transform existing ad hoc graph exploratory work into a unified framework as traditional OLAP does to multidimensional data analysis.