Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book.Gennari, J. H., et al., aThe Evolution of ProtAcgAc: An Environment of Knowledge- Based Systems Development, a Intl. J. Hum. ... Science, aSICS Quintus Prolog Manual, a http://www.sics. se/isl/quintus/qp/frame.html: Swedish Institute of Computer Science, 1999apresent. Yang ... Hirtel, D., et al., aSchema Specification of RuleML 0.91, a http://www.ruleml.org/spec: W3C, 2006. ... aReference Description of the DAML+OIL Ontology Markup Language (March 2001), a http:// www.daml.org/2001/03/anbsp;...
|Title||:||Data Mining in Biomedicine Using Ontologies|
|Author||:||Mihail Popescu, Dong Xu|
|Publisher||:||Artech House - 2009|