Knowledge base construction (KBC) is the process of populating a knowledge base, ie, a
relational database together with inference rules, with information extracted from documents …

While there has been tremendous progress in automatic database population in recent
years, most of human knowledge does not naturally fit into a database form. For example …

Many pressing questions in science are macroscopic: they require scientists to consult
information expressed in a wide range of resources, many of which are not organized in a …

Populating a database with information from unstructured sources—also known as
knowledge base construction (KBC)—is a long-standing problem in industry and research …

Creating a knowledge base that is accurate, up-to-date and complete remains a significant
challenge despite substantial efforts in automated knowledge base construction. In this …

RuDiK is a system for the discovery of declarative rules over knowledge-bases (KBs). RuDiK
discovers both positive rules, which identify relationships between entities, eg," if two …

This tutorial gives an overview on state-of-the-art methods for the automatic construction of
large knowledge bases and harnessing them for data and text analytics. It covers both big …

Data mining techniques for extracting knowledge from text have been applied extensively to
applications including question answering, document summarisation, event extraction and …

Background Biomedical knowledge bases (KB's) have become important assets in life
sciences. Prior work on KB construction has three major limitations. First, most biomedical …

We present an end-to-end (live) demonstration system called DeepDive that performs
knowledge-base construction (KBC) from hundreds of millions of web pages. DeepDive …