Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries
Several issues of database organization of petroleum industries have been highlighted. Complex geo-spatial heterogeneous data structures complicate the accessibility and presentation of data in petroleum industries. Objectives of the current research are to integrate the data from different sources...
| Main Authors: | , |
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| Format: | Book Chapter |
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Information Science Reference (an imprint of IGI Global)
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/40212 |
| _version_ | 1848755806012440576 |
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| author | Nimmagadda, Shastri Dreher, Heinz |
| author_facet | Nimmagadda, Shastri Dreher, Heinz |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Several issues of database organization of petroleum industries have been highlighted. Complex geo-spatial heterogeneous data structures complicate the accessibility and presentation of data in petroleum industries. Objectives of the current research are to integrate the data from different sources and connecting them intelligently. Data warehousing approach supported by ontology, has been described for effective data mining of petroleum data sources. Petroleum ontology framework, narrating the conceptualization of petroleum ontology and methodological architectural views, has been described. Ontology based data warehousing with fine-grained multidimensional data structures, facilitate to mining and visualization of data patterns, trends, and correlations, hiddenunder massive volumes of data. Data structural designs and implementations deduced, through ontology supportive data warehousing approaches, will enable the researchers in commercial organizations, such as, the one of Western Australian petroleum industries, for knowledge mapping and thus interpret knowledge models for making million dollar financial decisions. |
| first_indexed | 2025-11-14T09:02:09Z |
| format | Book Chapter |
| id | curtin-20.500.11937-40212 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:02:09Z |
| publishDate | 2007 |
| publisher | Information Science Reference (an imprint of IGI Global) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-402122017-01-30T14:40:31Z Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries Nimmagadda, Shastri Dreher, Heinz correlations methodological architectural views ontology Complex geo-spatial heterogeneous Several issues of database organization of petroleum industries have been highlighted. Complex geo-spatial heterogeneous data structures complicate the accessibility and presentation of data in petroleum industries. Objectives of the current research are to integrate the data from different sources and connecting them intelligently. Data warehousing approach supported by ontology, has been described for effective data mining of petroleum data sources. Petroleum ontology framework, narrating the conceptualization of petroleum ontology and methodological architectural views, has been described. Ontology based data warehousing with fine-grained multidimensional data structures, facilitate to mining and visualization of data patterns, trends, and correlations, hiddenunder massive volumes of data. Data structural designs and implementations deduced, through ontology supportive data warehousing approaches, will enable the researchers in commercial organizations, such as, the one of Western Australian petroleum industries, for knowledge mapping and thus interpret knowledge models for making million dollar financial decisions. 2007 Book Chapter http://hdl.handle.net/20.500.11937/40212 Information Science Reference (an imprint of IGI Global) restricted |
| spellingShingle | correlations methodological architectural views ontology Complex geo-spatial heterogeneous Nimmagadda, Shastri Dreher, Heinz Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries |
| title | Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries |
| title_full | Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries |
| title_fullStr | Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries |
| title_full_unstemmed | Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries |
| title_short | Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries |
| title_sort | ontology-based data warehousing and mining approaches in petroleum industries |
| topic | correlations methodological architectural views ontology Complex geo-spatial heterogeneous |
| url | http://hdl.handle.net/20.500.11937/40212 |