DrugNer Corpus: a corpus annotated with generic drug names and other biomedical concepts by ISABEL SEGURA-BEDMAR is licensed under a Creative Commons Reconocimiento-No comercialCompartir bajo la misma licencia 3.0 Unported License. http://labda.inf.uc3m.es/DrugDDI/.

DrugNer is an XML database. An XML database allows data to be stored in XML format. This data can then be queried, exported and serialized into the desired format. An XML database defines a logic model from an XML document and stores and retrieves information according to this model. An XML database does not use SQL like query language. The XML database supports at least one form of querying syntax. Minimally, just about all of them support XPath for performing queries against documents or collections of documents. XPath provides a simple pathing system that allows users to identify nodes that match a particular set of criteria. In addition, it supports XSLT as a method of transforming documents or query-results retrieved from the database. XSLT provides a declarative language written using an XML grammar. The main systematic criteria and methodology for ordering the data are the attributes ID for each element in XML format. Also, every element or attribute can be queried by some queryng language.

This is the first biomedical corpus annotated with drug and their pharmacological families. DrugNer, could encourage research on automatic extraction information of drug interactions, adverse drug events and other drug information, occurring in biomedical and pharmacological texts.

This corpus was part of the thesis “Application of information extraction techniques to pharmacological domain: extracting drug-drug interactions” Isabel Segura-Bedmar, Advisor: Paloma Martínez. Recently, this thesis has been granted with the Extraordinary PhD award 2011. This work has been partially supported by the Spanish research projects: MA2VICMR consortium (S2009/TIC-1542, www.mavir.net), a network of excellence funded by the Madrid Regional Government and TIN2007-67407-C03-01 (BRAVO: Advanced Multimodal and Multilingual Question Answering).

• Isabel Segura-Bedmar, Paloma Martínez, María Segura-Bedmar, (2008). Drug Name Recognition and classification in biomedical texts. , September, 2008, Drug Discovery Today, Elsevier Science, ISSN: 1359-6446, Volumen: 13, Número: 17-18, Páginas: 816-823, url.
• Isabel Segura-Bedmar, Paloma Martínez, Doaa Samy, (2008). Detección de fármacos genéricos en textos biomédicos., March, 2008, Revista Española para el procesamiento del lenguaje natural (SEPLN), ISSN: 1135-5948, Páginas: 27-34, pdf.
• Isabel Segura-Bedmar, Paloma Martínez, Doaa Samy, (2008). A preliminary approach to recognize generic drug names by combining UMLS resources and USAN naming conventions., Ohio, USA, June, 2008, Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP), Association for Computational Linguistics, ISBN: 978-1-932432-, Páginas: 100-10