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 …

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 …

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 …

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

The dark data extraction or knowledge base construction (KBC) problem is to populate a
SQL database with information from unstructured data sources including emails, webpages …

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 …

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

We focus on knowledge base construction (KBC) from richly formatted data. In contrast to
KBC from text or tabular data, KBC from richly formatted data aims to extract relations …

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 …

Nowadays, most openly available knowledge bases (KBs) are incomplete, since they are
not synchronized with the emerging facts happening in the real world. Therefore, knowledge …