DocumentCode :
2702382
Title :
Mediated taxonomy system for bioinformatics data integration
Author :
Feng Ji ; Fu, Jack ; Elmasri, Ramez ; Stojanovic, Nikola ; Grant, Geoffrey
Author_Institution :
Department of Computer Science and Engineering, University of Texas at Arlington P.O.Box 19015, 76019, USA
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
123
Lastpage :
130
Abstract :
In biomedical/biological research fields, scientists usually face the problem of information explosion. Once a query is issued, a collection of data instance IDs such as protein accession numbers are returned. Each protein must be checked for the features of interest. This paper addresses the characterization and differentiating of biological data in the context of mediated domain ontology based on the multilevel abstraction framework. Our mediator system features hybrid ontologies (internal core ontology concept and external classification/annotation concepts) for the interpretation of protein and gene instance data in the context of interaction, pathway and process, which achieve the goal of data integration at the instance level.
Keywords :
biology computing; classification; data integrity; genetics; ontologies (artificial intelligence); proteins; bioinformatics; data integration; external classification/annotation concepts; gene instance data; information explosion; internal core ontology concept; mediated domain ontology; mediated taxonomy system; multilevel abstraction framework; protein; Bioinformatics; Computer science; Data analysis; Data warehouses; Databases; Intrusion detection; Mediation; Ontologies; Proteins; Taxonomy; bioinformatics; data integration; mediator system; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine Workshops, 2007. BIBMW 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-1-4244-1604-2
Type :
conf
DOI :
10.1109/BIBMW.2007.4425410
Filename :
4425410
Link To Document :
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