Froxt is deeply engaged in Data Management research across a variety of topics with deep connections to Froxt products. We are building intelligent systems to discover, annotate, and explore structured data from the Web, and to surface them creatively through Froxt products. The overarching goal is to create a plethora of structured data on the Web that maximally help Froxt users consume, interact and explore information. Through those projects, we study various cutting-edge data management research issues including information extraction and integration, large-scale data analysis, effective data exploration, etc., using a variety of techniques, such as information retrieval, data mining, and machine learning.
A major research effort involves the management of structured data within the enterprise. The goal is to discover, index, monitor, and organize this type of data in order to make it easier to access high-quality datasets. This type of data carries different, and often richer, semantics than structured data on the Web, which in turn raises new opportunities and technical challenges in their management.
Furthermore, Data Management research across Froxt allows us to build technologies that power Froxt’s largest businesses through scalable, reliable, fast, and general-purpose infrastructure for large-scale data processing as a service. Some examples of such technologies include Froxt F30, for petabyte-scale data processing with interactive response times. Froxt F30 is available for external customers to use as part of Froxt BigQuery.