Download Data Mining in Biomedicine Using Ontologies (Artech House by Mihail Popescu, Dong Xu PDF

By Mihail Popescu, Dong Xu

An ontology is a suite of vocabulary phrases with explicitly said meanings and kin with different phrases. shortly, increasingly more ontologies are being equipped and used for annotating info in biomedical examine. due to the super volume of information being generated, ontologies are actually getting used in different methods, together with connecting assorted databases, refining seek services, examining experimental/clinical facts, and inferring wisdom. This state of the art source introduces researchers to most up-to-date advancements in bio-ontologies. The e-book offers the theoretical foundations and examples of ontologies, in addition to functions of ontologies in biomedicine, from molecular degrees to scientific degrees. Readers additionally locate info on technological infrastructure for bio-ontologies. This entire, one-stop quantity offers a variety of sensible bio-ontology details, supplying execs distinct suggestions within the clustering of organic information, protein class, gene and pathway prediction, and textual content mining.

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Extra resources for Data Mining in Biomedicine Using Ontologies (Artech House Series Bioinformatics & Biomedical Imaging)

Example text

Such knowledge can be accessed and applied in many research scenarios, such as the data-mining applications described in this book. In essence, in order to successfully mine data, it is necessary to know what the data represents; that is the basic role of ontology within the life sciences. The descriptions that these ontologies provide need to be consistent across the many available data sources and ideally need to be helpful to both humans and computers. With the vast quantity of data now being generated and mined within biology, the need for ontologies has never been greater.

This is a mistake, as the intended purpose is different from that of ontologically formal resources. 5 Reference Ontologies A distinction can be made between reference and application ontologies [54]. Reference ontologies attempt to be definitive representations of a domain, and are usually developed without any particular application in mind. Reference ontologies will often use an upper-level ontology to make formal (philosophical) ontological distinctions about the domain. They also usually describe one aspect of a domain.

2] Oxford English Dictionary: The Definitive Record of the English Language, http://www. com/, last accessed December 4, 2008. , “Formal Ontology in Information Systems,” Proc. of FOIS ‘98, Trento, Italy, June 6–8, 1998, pp. 3–15. , “Modeling for Decision Support,” Handbook of Medical Informatics, J. v. Bemmel and M. A. ), 1997. [5] Gruber, T. , “The Role of Common Ontology in Achieving Sharable, Reusable Knowledge Bases,” Proceedings of KR 1991: Principles of Knowledge Representation and Reasoning, J.

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