Tutorial on Semantic Automation for Data Discovery

Abstract

Data discovery is a multi-dimensional field encompassing information extraction, information retrieval, exploratory data analysis, visualization and recommendations among other things. Data Marketplaces are platforms where users discover and shop for data products. These products themselves are produced by modern data stacks governed by frameworks like Data Fabric. Knowledge Graphs and semantic technologies already form a core part of Data Fabric and hence could be leveraged for data discovery. In this tutorial, we'll present state of the art semantic technologies that enable automation of various tasks in data discovery. In particular, we'll focus on data enrichment, datasets search and recommendations, and explorations within a dataset.