Title :
Ontology algebra for composition of protein data sources
Author :
Sidhu, Amandeep S. ; Dillon, Tharam S. ; Chang, Elizabeth
Author_Institution :
Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia
Abstract :
Most biological resources available today on the web provide a good number of cross-links to other resources with relevant information. However, in our opinion, what is still lacking is an integrated view that provides complete coverage of information through a single entry point. The main problem lies in interpreting biological nomenclature because the underlying data sources are inconsistent. In this paper we discuss Protein Ontology (PO) Algebra that we use for composition and interoperability of protein data sources. We outline the existing research in interoperability of biological data sources, before discussing our semantic interoperability approach in detail. The actual implementation of Protein Ontology is also discussed briefly in this paper, which depends on the strength of the Protein Ontology Algebra.
Keywords :
algebra; biology computing; molecular biophysics; ontologies (artificial intelligence); open systems; proteins; semantic Web; biological nomenclature; protein data source; protein ontology algebra; semantic interoperability; Algebra; Bioinformatics; Biological information theory; Data analysis; Databases; Ecosystems; Engines; Information management; Ontologies; Proteins;
Conference_Titel :
Bioinformatics and Biomedicine Workshops, 2007. BIBMW 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-1-4244-1604-2
DOI :
10.1109/BIBMW.2007.4425412
