Before undertaking new biomedical research, identifying concepts that have already been
patented is essential. A traditional keyword-based search on patent databases may not be …

Background Biobanking necessitates extensive integration of data to allow data analysis
and specimen sharing. Ontologies have been demonstrated to be a promising approach in …

Biomedical ontologies provide essential domain knowledge to drive data integration,
information retrieval, data annotation, natural-language processing and decision support …

Background Neuroscientists often need to access a wide range of data sets distributed over
the Internet. These data sets, however, are typically neither integrated nor interoperable …

Linked Data (LD) aims to achieve interconnected data by representing entities using Unified
Resource Identifiers (URIs), and sharing information using Resource Description …

Background Understanding research activity within any given biomedical field is important.
Search outputs generated by MEDLINE/PubMed are not well classified and require lengthy …

The ability to retrieve relevant information is at the heart of every aspect of research and
development in the life sciences industry. Information is often distributed across multiple …

A critical component of the Neuroscience Information Framework (NIF) project is a
consistent, flexible terminology for describing and retrieving neuroscience-relevant …

The NCI Thésaurus is a public domain description–logic-based terminology produced by the
National Cancer Institute, and distributed as a component of the NCI Center for …

A scientific ontology is a formal representation of knowledge within a domain, typically
including central concepts, their properties, and relations. With the rise of computers and …