"This book provides relevant theoretical frameworks and the latest empirical research findings in biomedicine information retrieval as it pertains to linguistic granularity"--Provided by publisher.
Written for researchers and practitioners in the field of biomedicine, this collection of research articles stressed the need for broader applications of natural language processing (NLP) for a more fluid exchange of information in the field. Editors Prince and Roche (computer science, U. Montpellier 2, France) have collected research studies that explore how NLP works at a lexical, sentence and segment level, especially in applications such as text mining and medical information retrieval systems. A group of papers explores the latest IR software in biomedicine, and how these applications use collective intelligence analysis and language engineering. Medical Information Science reference is an imprint of IGI Global. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)
Automatic alignment of medical terminologies; Biomedical information
extraction; Biomedical terminological resources for information retrieval;
Cross-language information retrieval; Extracting patient case profiles;
Knowledge integration in biomedicine; Lexical enrichment of biomedical
ontology; Lexical granularity for automatic indexing; Medical information
retrieval systems; Natural language processing; Ontological knowledge
management; Participative analysis and language engineering; Word sense
disambiguation in biomedical applications.
Violaine Prince is full professor at the University Montpellier 2 (Montpellier, France). She obtained her PhD in 1986 at the university of Paris VII, and her 'habilitation' (post-PhD degree) at the University of Paris XI (Orsay). Previous head of Computer Science department at the Faculty of Sciences in Montpellier, previous head of the National University Council for Computer Science (grouping 3,000 professors and assistant professors in Computer Science in France), she now leads the NLP research team at LIRMM (Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier, a CNRS research unit). Her research interests are in natural language processing (NLP) and cognitive science. She has published more than 70 reviewed papers in books, journals and conferences, authored 10 research and education books, founded and chaired several conferences and belonged to program committees as well as journals reading committees. She is member of the board of the IEEE Computer Society French Chapter. Mathieu Roche is Assistant Professor at the University Montpellier 2, France. He received a Ph. D. in Computer Science at the University Paris XI (Orsay) in 2004. With Jerome Aze, he created in 2005 the DEFT challenge ('DEfi Francophone de Fouille de Textes' meaning 'Text Mining Challenge') which is a francophone equivalent of the TREC Conferences. His current main research interests at LIRMM (Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier, a CNRS research unit) are Text Mining, Information Retrieval, Terminology, and Natural Language Processing for Schema Mapping.
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