Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates
Seismological observatories archive volumes of heterogeneous types of earthquake data. These organizations, by virtue of their geographic operations, handle complicated hierarchical data structures. In order to effectively and efficiently perform seismological observatories business activities, the...
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| Format: | Conference Paper |
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INDIN
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/3838 |
| _version_ | 1848744340889796608 |
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| author | Nimmagadda, Shastri Dreher, Heinz |
| author2 | Dietrich, D. |
| author_facet | Dietrich, D. Nimmagadda, Shastri Dreher, Heinz |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Seismological observatories archive volumes of heterogeneous types of earthquake data. These organizations, by virtue of their geographic operations, handle complicated hierarchical data structures. In order to effectively and efficiently perform seismological observatories business activities, the flow of data and information must be consistent and information is shared among its units, situated at differentgeographic locations. In order to improve information sharing among observatories, heterogeneous nature of earthquake data from various sources are intelligently integrated. Data warehouse is a solution, in which, earthquake data entities are modeled using ontology-base multidimensional representation.These data are structured and stored in multi-dimensions in a warehousing environment to minimize the complexity of heterogeneous data. Authors are of the view that data integration process adds value to knowledge building and information sharing among different observatories. Authors suggest that warehoused data modeling facilitates earthquake prediction analysis more effectively. |
| first_indexed | 2025-11-14T05:59:55Z |
| format | Conference Paper |
| id | curtin-20.500.11937-3838 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:59:55Z |
| publishDate | 2007 |
| publisher | INDIN |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-38382017-08-23T07:01:27Z Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates Nimmagadda, Shastri Dreher, Heinz Dietrich, D. Hancke, G. Palensky, P. earthquake data geographic operations ontology-base knowledge building heterogeneous Seismological observatories archive volumes of heterogeneous types of earthquake data. These organizations, by virtue of their geographic operations, handle complicated hierarchical data structures. In order to effectively and efficiently perform seismological observatories business activities, the flow of data and information must be consistent and information is shared among its units, situated at differentgeographic locations. In order to improve information sharing among observatories, heterogeneous nature of earthquake data from various sources are intelligently integrated. Data warehouse is a solution, in which, earthquake data entities are modeled using ontology-base multidimensional representation.These data are structured and stored in multi-dimensions in a warehousing environment to minimize the complexity of heterogeneous data. Authors are of the view that data integration process adds value to knowledge building and information sharing among different observatories. Authors suggest that warehoused data modeling facilitates earthquake prediction analysis more effectively. 2007 Conference Paper http://hdl.handle.net/20.500.11937/3838 INDIN fulltext |
| spellingShingle | earthquake data geographic operations ontology-base knowledge building heterogeneous Nimmagadda, Shastri Dreher, Heinz Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates |
| title | Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates |
| title_full | Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates |
| title_fullStr | Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates |
| title_full_unstemmed | Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates |
| title_short | Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates |
| title_sort | ontology based data warehouse modeling and mining of earthquake data: prediction analysis along eurasian-australian continental plates |
| topic | earthquake data geographic operations ontology-base knowledge building heterogeneous |
| url | http://hdl.handle.net/20.500.11937/3838 |