2012年5月16日下午，北京师范大学-香港浸会大学联合国际学院苏伟峰博士访问重点实验室。苏博士现任北京师范大学-香港浸会大学联合国际学院计算机系主任，香港浸会大学博士生导师。苏博士在成功楼603做了题为“Domain-based Data Integration for Web Databases”的报告，围绕着Web数据库数据集成问题，与实验室研究人员展开了讨论；张教授的学术报告和回答深入浅出，生动直观，获得了听众的热情回应，报告会始终气氛活跃。

报告摘要:

    An important part  of today’s Web is Web databases, in which 80% of the databases are structured  databases. To facilitate a user to retrieve relevant records from different Web  databases simultaneously, we propose a simultaneous querying system, called  SIM-querying, which is comprised of three components: query interface  integrator, data extractor and result integrator. In each component, a novel  method is presented that performs its function automatically. In the query  interface integrator, a holistic schema matching method, HSM, is presented that  takes advantage of the attribute occurrence patterns in multiple query  interfaces to find the attributes that match in different interfaces within a  domain. In the data extractor, a domain-based data extraction method, ODE, is  presented. In ODE, a domain ontology is first learned from the information  overlap and schema matching in the query results and query interfaces from  different Web databases within the domain and the ontology is then used to  extract the data encoded in the result HTML pages automatically. In the result  integrator, a new duplicate detection method, UDD, is presented to identify the  duplicates that exist in the query results from different Web databases. In  UDD, a set of negative records is first constructed based on two observations  about the query results of Web databases and then, starting from the negative  records, an iterative algorithm identifies the duplicates from different Web  databases. Experimental results show that each of these novel methods can  achieve very high precision and outperform existing methods in the context of  Web databases.

专家介绍 ：

       苏伟峰，现为北京师范大学-香港浸会大学 联合国际学院计算机系主任，副教授, 博士生导师。2007年香港科技大学计算机科学与工程系博士，苏博士以第一作者身份于世界顶级期刊与会议中发表了论文10余篇，包括ACM TRANSACTION ON DATABASE SYSTEM (TODS)，IEEE Transaction on Knowledge and Data Engineering (TKDE),论文它引超过200次，论文多次被多个大学引入课程教学，苏博士担任多个世界一流期刊和著名的国际会议的审稿人。近年来，主持国家自然科学基金面上项目等项目4项。