Information Extraction from Text for Improving Research on Small Molecules and Histone Modifications [Elektronische Ressource] / Corinna Klein

Information Extraction from Text forImproving Research on Small Molecules andHistone ModificationsDissertationzur Erlangung des Doktorgrades (Dr. rer. nat.)derMathematisch-Naturwissenschaftlichen FakultätderRheinischen Friedrich-Wilhelms-Universität Bonnvorgelegt vonCorinna Kleingeb. KolárikˇausZittauBonn 2011Angefertigt mit Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultätder Rheinischen Friedrich-Wilhelms-Universität Bonn1. Gutachter: Prof. Dr. rer. nat. Martin Hofmann-Apitius2. Prof. Dr. rer. nat. Holger FröhlichTag der Promotion: 10. Juni 2011Erscheinungsjahr: 2011AbstractThe cumulative number of publications, in particular in the life sciences, requires efficientmethods for the automated extraction of information and semantic information retrieval. Therecognition and identification of information-carrying units in text – concept denominationsand named entities – relevant to a certain domain is a fundamental step. The focus ofthis thesis lies on the recognition of chemical entities and the new biological named entitytype histone modifications, which are both important in the field of drug discovery. As theemergence of new research fields as well as the discovery and generation of novel entitiesgoes along with the coinage of new terms, the perpetual adaptation of respective namedentity recognition approaches to new domains is an important step for information extraction.