DocumentCode
2967589
Title
Development Approach for e-Science Ontology: A Case Study in Biological Domain
Author
Palazzi, Daniele ; Matos, Ely Edison ; Campos, Fernanda ; Braga, Regina
Author_Institution
Master Program in Comput. Modeling, Fed. Univ. of Juiz de Fora, Juiz de Fora, Brazil
fYear
2010
fDate
25-29 Oct. 2010
Firstpage
293
Lastpage
300
Abstract
This paper describes QDA ontology - Quality Driven Approach for e-Science Ontologies, composed of stages, activities, participants, artifacts and quality criteria. The development process is centered in an evolutionary model, therefore, cycles can be repeated at each ontology evolution. The proposal approach is illustrated with artifacts from Cell Component Ontology (CelO) construction process. This ontology captures both structure of a cell model and properties of functional components. We use this ontology in a Web project (CelOWS) to describe, query and compose CellML models, using semantic web services. For e-Science applications, integration with other ontologies is always a main goal to guarantee interoperability and semantic exchange, and the proposal highlights this step, as well as documentation and quality evaluation.
Keywords
Web services; biology computing; ontologies (artificial intelligence); semantic Web; Web project; biological domain; cell component ontology; cell model; documentation; e-science application; e-science ontology; evolutionary model; interoperability; ontology evolution; quality criteria; quality driven approach; quality evaluation; semantic Web service; semantic exchange; Biological system modeling; Computational modeling; Documentation; Mathematical model; Ontologies; Semantics; Biological Models; Development Preocess; Ontology; Quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2010 14th IEEE International
Conference_Location
Vitoria
Print_ISBN
978-1-4244-7965-8
Type
conf
DOI
10.1109/EDOCW.2010.33
Filename
5629068
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