SBIR Phase I: SBIR EI-IS2: Automated People Information Discovery and Mining

该SBIR项目的创新包括有效和高效的大数据分析和挖掘技术，从海量互联网数据中提取社会和人员相关信息。在姓名消歧义、联系推理、信息分类等方面的先进分析算法，能够实时快速捕获和分析与人相关的信息，帮助组织建立、加强和加速客户关系，促进业务交易。该工具从整个互联网的广泛数据中提取和推断信息，以补充用户自己在Linkedin等社交网站上自愿提供的有限和主观数据。更广泛的商业影响包括使商业人士节省宝贵的时间来研究新的前景和确定与人联系的最佳方式，并最终通过在更短的时间内更好地了解他们的前景来完成更多的交易。换句话说，它简化了销售、招聘等业务功能，使其更加高效。

The innovation of this SBIR project includes effective and efficient big data analytics and mining techniques to extract social and people related information from massive amount of Internet data. The advanced analysis algorithms in name dis-ambiguity, connection inference, information categorization, etc. can quickly capture and analyze people related information in real time to help organizations to establish, strengthen and accelerate their customer relationships and facilitate business deals. The tool extracts and infers information from a wide spectrum of data from the whole Internet to complement the limited and subjective data volunteered by users themselves in social network websites like Linkedin.The broader/commercial impact includes enabling business people save valuable time in researching new prospects and identifying the best ways to connect with people, and ultimately close more deals by better understanding their prospects in less time. In other words, it simplifies business functions such as sales, recruiting, etc to be more efficient and effective.