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Normalization and Matching of Chemical Compound Names Nature Precedings
Martin Golebiewski; Jasmin Šarić; Henriette Engelken; Meik Bittkowski; Ulrike Wittig; Wolfgang Müller; Isabel Rojas.
The identification of a chemical compound solely based on its name requires comprehensive chemical knowledge and often extensive searches in chemical databases. However, it is crucial for the integration of biochemical data extracted from the literature, since many publications exclusively describe a compound by its name. We have developed an application which matches synonymic names of chemical compounds and thereby facilitates the bundling of corresponding data referring to the same compound.

The tool that we have developed is based on natural language processing (NLP) methods and applies rules to systematically normalize chemical compound names. Matching of synonymous names is achieved by comparison of the normalized...
Tipo: Poster Palavras-chave: Chemistry; Bioinformatics.
Ano: 2009 URL: http://precedings.nature.com/documents/3322/version/1
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