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    Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates

    20570_downloaded_stream_26.pdf (1.039Mb)
    Access Status
    Open access
    Authors
    Nimmagadda, Shastri
    Dreher, Heinz
    Date
    2007
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Nimmagadda, Shastri and Dreher, Heinz. 2007. Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates, in Dietrich, D. and Hancke, G. and Palensky, P. (ed), INDIN 2007, 23 Jul 2007, pp. 597-602. Vienna, Austria: INDIN.
    Source Title
    INDIN 2007 - 5th IEEE international conference on industrial informatics
    Source Conference
    INDIN 2007
    Faculty
    Curtin Business School
    School of Information Systems
    URI
    http://hdl.handle.net/20.500.11937/3838
    Collection
    • Curtin Research Publications
    Abstract

    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.

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