Integration of protein data sources through PO
MetadataShow full item record
Resolving heterogeneity among various protein data sources is a crucial problem if we want to gain more information about proteomics process. Information from multiple protein databases like PDB, SCOP, and UniProt need to integrated to answer user queries. Issues of Semantic Heterogeneity haven?t been addressed so far in Protein Informatics. This paper outlines protein data source composition approach based on our existing work of Protein Ontology (PO). The proposed approach enables semi-automatic interoperation among heterogeneous protein data sources. The establishment of semantic interoperation over conceptual framework of PO enables us to get a better insight on how information can be integrated systematically and how queries can be composed. The semantic interoperation between protein data sources is based on semantic relationships between concepts of PO. No other such generalized semantic protein data interoperation framework has been considered so far.
The original publication is available at http://www.springerlink.com
The link to this article is:
Showing items related by title, author, creator and subject.
Ashraf, Jamshaid (2013)The Semantic Web envisions a Web where information is accessible and processable by computers as well as humans. Ontologies are the cornerstones for realizing this vision of the Semantic Web by capturing domain knowledge ...
Sidhu, Amandeep; Dillon, Tharam S.; Chang, Elizabeth (2006)Several approaches for data interoperation identified by Karp have been implemented for biological databases. We extend Karp's approach for interoperation not only to protein databases but also to knowledge bases and other ...
Sidhu, Amandeep; Dillon, Tharam S.; Hussain, Farookh Khadeer; Chang, Elizabeth (2006)Recent progress in proteomics, computational biology, and ontology development has presented an opportunity to investigate protein data sources from unique perspective that is, examining protein data sources through ...