The volume of published biomedical research, and therefore the underlying biomedical
knowledge base, is expanding at an increasing rate. Among the tools that can aid …

Sophisticated information technologies are needed for effective data acquisition and
integration from a growing body of the biomedical literature. Successful term identification is …

The newly emerging field of systems biology involves a judicious interplay between high‐
throughput 'wet'experimentation, computational modelling and technology development …

This paper discusses a method for corpus-driven ontology design: extracting conceptual
hierarchies from arbitrary domain-specific collections of texts. These hierarchies can form …

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

Background We present an effective, rapid, systematic data mining approach for identifying
genes or proteins related to a particular interest. A selected combination of programs …

Biology can be regarded as a science of networks: interactions between various biological
entities (eg genes, proteins, metabolites) on different levels (eg gene regulation, cell …

This paper presents a novel approach to discourse analysis within information extraction
systems. It makes use of DRT as formal representation of the linguistic context as well as of a …

Biomedical terminologies and ontologies are frequently described as enabling resources in
text mining systems [1–3]. These resources are used to support tasks such as entity …

Background Text mining has spurred huge interest in the domain of biology. The goal of the
BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We …