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