Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

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

This paper describes Jaql, a declarative scripting language for analyzing large
semistructured datasets in parallel using Hadoop's MapReduce framework. Jaql is currently …

Data scientists face a steep learning curve in understanding a new domain for which they
want to build machine learning (ML) models. While input from domain experts could offer …

There are major trends to advance the functionality of search engines to a more expressive
semantic level. This is enabled by the advent of knowledge-sharing communities such as …

Objectives The role of social media in biomedical knowledge mining, including clinical,
medical and healthcare informatics, prescription drug abuse epidemiology and drug …

An intrinsic part of information extraction is the creation and manipulation of relations
extracted from text. In this article, we develop a foundational framework where the central …

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 …

The challenges of data collection in nonprofits for performance and funding reports are well-
established in HCI research. Few studies, however, delve into improving the data collection …

Many aspects of macroevolutionary theory and our understanding of biotic responses to
global environmental change derive from literature-based compilations of paleontological …