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 relatives with different phrases. almost immediately, more and more ontologies are being equipped and used for annotating information in biomedical learn. due to the great volume of information being generated, ontologies at the moment are getting used in different methods, together with connecting diversified databases, refining seek features, reading experimental/clinical information, and inferring wisdom. This state-of-the-art source introduces researchers to most up-to-date advancements in bio-ontologies. The publication presents the theoretical foundations and examples of ontologies, in addition to functions of ontologies in biomedicine, from molecular degrees to scientific degrees. Readers additionally locate information on technological infrastructure for bio-ontologies. This complete, one-stop quantity offers quite a lot of sensible bio-ontology info, delivering pros designated suggestions within the clustering of organic info, protein type, gene and pathway prediction, and textual content mining.

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Mol. , Vol. 1, 1993, pp. 207–215. [8] Keseler, I. , “EcoCyc: A Comprehensive Database Resource for Escherichia Coli,” Nucl. , Vol. 33, Supplement 1, 2005, pp. D334–D337. [9] Goble, C. , “Transparent Access to Multiple Bioinformatics Information Sources,” IBM Systems J. Special Issue on Deep Computing for the Life Sciences, Vol 40, No. 2, 2001, pp. 532–552. , “A Strategy for Database Interoperation”, J. of Computational Biology, Vol. 2, No. 4, 1995, pp. 573–586. , “Integrating and Exploiting Large-Scale, Heterogeneous, and Autonomous Databases with an Ontology for Molecular Biology,” in Molecular Bioinformatics, Sequence Analysis—The Human Genome Project, R.

10) where N1 is the length (in number of nodes) of the path from c1 to c3, N2 is the length of the path from c2 to c3, and N3 is the length of the path from c3 to the root of the hierarchy, or, in other words, the global depth in the hierarchy. 11) In this equation, it is easy to see how an increase of depth decreases the distance between the two concepts. Another proposal [21] incorporated all relation types in WordNet and, thus, is considered a measure of semantic relatedness. It also incorporated the direction of the link between the two nodes.

For example, organism might be mapped to some kind of upper-level class, such as continuant, and glucose metabolism, in contrast, might be mapped to occurrant (a process). 3 Formal Ontologies Formality is a much over-used term. It has two meanings in the ontology world. A formal ontology, on the one hand, is one that consistently makes stylistic ontological distinctions based on a philosophical world view, usually with respect to a particular upper-level ontology. On the other hand, formal means to encode meaning with logic-based semantic strictness in the underlying representation in which the ontology is captured [23], thereby allowing computational inferences to be made through the use of automated reasoning.

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