Integration of protein data sources through PO
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 be...
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| Format: | Conference Paper |
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Springer-Verlag
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/20823 |
| _version_ | 1848750417322704896 |
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| author | Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth |
| author_facet | Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth |
| author_sort | Sidhu, Amandeep |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:36:30Z |
| format | Conference Paper |
| id | curtin-20.500.11937-20823 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:36:30Z |
| publishDate | 2006 |
| publisher | Springer-Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-208232018-10-02T05:14:56Z Integration of protein data sources through PO Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth ontologies protein data protein data sources ontology data source PO protein ontology databases semantic relationships semantic protein data semantic heterogeneity 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. 2006 Conference Paper http://hdl.handle.net/20.500.11937/20823 10.1007/11827405_51 Springer-Verlag fulltext |
| spellingShingle | ontologies protein data protein data sources ontology data source PO protein ontology databases semantic relationships semantic protein data semantic heterogeneity Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth Integration of protein data sources through PO |
| title | Integration of protein data sources through PO |
| title_full | Integration of protein data sources through PO |
| title_fullStr | Integration of protein data sources through PO |
| title_full_unstemmed | Integration of protein data sources through PO |
| title_short | Integration of protein data sources through PO |
| title_sort | integration of protein data sources through po |
| topic | ontologies protein data protein data sources ontology data source PO protein ontology databases semantic relationships semantic protein data semantic heterogeneity |
| url | http://hdl.handle.net/20.500.11937/20823 |