Most bio text-mining efforts so far have focused on identification of biological, molecular and
chemical entities from the literature to support knowledge acquisition and discovery in the …

One of the main challenges in biomedical text mining is the identification of terminology,
which is a key factor for accessing and integrating the information stored in literature …

Collection of documents annotated with semantic entities and relationships are crucial
resources to support development and evaluation of text mining solutions for the biomedical …

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

A number of projects (myGrid, BioMOBY, etc.) have recently been initiated in order to
organise emerging bioinformatics Web Services and provide their semantic descriptions …

Objective We present a combined terminological resource for text mining over biomedical
literature. The purpose of the resource is to allow the detection of mentions of specific …

Background There have been a number of recent efforts (eg BioCatalogue, BioMoby) to
systematically catalogue bioinformatics tools, services and datasets. These efforts rely on …

The abundance and unstructured nature of biomedical texts, be it clinical or research
content, impose significant challenges for the effective and efficient use of information and …

BioTextQuest combines automated discovery of significant terms in article clusters with
structured knowledge annotation, via Named Entity Recognition services, offering interactive …

The volume of biomedical literature is increasing at such a rate that it is becoming difficult to
locate, retrieve and manage the reported information without text mining, which aims to …