Foundations of Database Systems for Text Analytics

Benny Kimelfeld

Résumé: 

Contemporary technological and social trends, such as mobile computing devices and social networking, result in an enormous amount of publicly available data with a high potential value within, known as “Big Data.” This phenomenon is complemented by modern business models, such as cloud computing and crowd sourcing, that provide a broad spectrum of consumers with the means to analyze the data. But that data have characteristics that introduce new challenges to data management systems; in particular, much of the data is free text in informal natural language. In this talk, I will discuss some fundamental topics in database systems tailored to text analytics, while focusing on my past work and visionary agenda; these topics include formal data and query models, related algorithmic problems, and the management of imprecision and uncertainty.

Biographie: 

Benny Kimelfeld is an Associate Professor of the Computer Science Faculty at Technion - Israel Institute of Technology. After receiving his Ph.D. in Computer Science from The Hebrew University of Jerusalem, he has been a Research Staff Member at IBM Research – Almaden, and a Computer Scientist at LogicBlox. Benny’s research spans a spectrum of both foundational and systems aspects of data management, such as probabilistic databases, information retrieval over structured data, view updates, semistructured data, graph mining, and infrastructure for text analytics. Benny was an invited tutorial speaker at PODS 2014, a co-chair of the first SIGMOD/PODS workshop on Big Uncertain Data (BUDA), and currently serves as an associate editor in the Journal of Computer and System Sciences (JCSS).