Metasearch Engines, Web Database Integration, Internet-based Information Retrieval, Web Information Extraction, Information Truthfulness Analysis, Sentiment Change Analysis, Database Management Systems
Weiyi Meng is currently a professor in the Department of Computer Science, State University of New York at Binghamton. He received his Ph.D. in computer science from University of Illinois at Chicago in 1992. In the same year, he joined his current department as a faculty member. His research interests include metasearch engines, Web database integration, Internet-based information retrieval, web information extraction, topic sentiment change analysis, information trustworthiness analysis, and database management systems. He is the co-author of three books (Principles of Database Query Processing for Advanced Applications, Advanced Metasearch Engine Technology, and Deep Web Query Interface Understanding and Integration). He has published over 120 papers and many of them in top conferences and journals in his research areas, including ACM SIGMOD, VLDB, IEEE ICDE, WWW, KDD, ACM SIGIR, ACM TODS, ACM TOIS, and IEEE TKDE. His publications have been cited by other researchers more than 3,000 times. He has done pioneering work in large-scale metasearch engines.