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

Populating a database with unstructured information is a long-standing problem in industry
and research that encompasses problems of extraction, cleaning, and integration. Recent …

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 …

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 …

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 …

End-to-end knowledge base construction systems using statistical inference are enabling
more people to automatically extract high-quality domain-specific information from …

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 …

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

Recent years have seen a drastic rise in the construction of web knowledge bases (eg,
Freebase, YAGO, DBPedia). These knowledge bases store structured information about real …

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 …