The drug discovery enterprise provides strong drivers for data integration. While attention in
this arena has tended to focus on integration of primary data from omics and other large …

In order for organisations to remain competitive in times of ambiguity and uncertainty, there
is a need to detect and anticipate unknown unknowns, also called 'black swans'. When …

The biomedical community makes extensive use of text mining technology. In the past
several years, enormous progress has been made in developing tools and methods, and the …

Biologists often pose queries to search engines and biological databases to obtain answers
related to ongoing experiments. This is known to be a time consuming, and sometimes …

Abstract Background Information Extraction (IE) is a component of text mining that facilitates
knowledge discovery by automatically locating instances of interesting biomedical events …

This paper studies the discovery of communities from social network documents produced
over time, addressing the discovery of temporal trends in community memberships. We first …

Background Due to the rapidly expanding body of biomedical literature, biologists require
increasingly sophisticated and efficient systems to help them to search for relevant …

Event-based search systems have become of increasing interest. This paper provides an
overview of recent advances in event-based text mining, with an emphasis on biomedical …

To reduce the increasing amount of time spent on literature search in the life sciences,
several methods for automated knowledge extraction have been developed. Co-occurrence …

The Semantic Web can be conceived as an extension of the current Web where information
is given well-defined meaning. In this scenario ontologies are crucial since they provide …