Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

At the root of applications for substructure and similarity searching, reaction retrieval,
synthesis planning, drug discovery, and physicochemical property prediction is the need for …

Objectives To provide typical examples of biomedical ontologies in action, emphasizing the
role played by biomedical ontologies in knowledge management, data integration and …

Background Biomedical knowledge bases (KB's) have become important assets in life
sciences. Prior work on KB construction has three major limitations. First, most biomedical …

Motivation: From the scientific community, a lot of effort has been spent on the correct
identification of gene and protein names in text, while less effort has been spent on the …

A drug–drug interaction (DDI) occurs when one drug influences the level or activity of
another drug. Information Extraction (IE) techniques can provide health care professionals …

Motivation: Chemical compounds like small signal molecules or other biological active
chemical substances are an important entity class in life science publications and patents …

Exploring the chemical and biological space covered by patent applications is crucial in
early-stage medicinal chemistry activities. Patent analysis can provide understanding of …

The biomedical literature holds our understanding of pharmacogenomics, but it is dispersed
across many journals. In order to integrate our knowledge, connect important facts across …

Drug name recognition (DNR), which seeks to recognize drug mentions in unstructured
medical texts and classify them into pre-defined categories, is a fundamental task of medical …