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dc.contributor.authorNimmagadda, Shastri
dc.contributor.authorDreher, Heinz
dc.date.accessioned2017-01-30T14:40:30Z
dc.date.available2017-01-30T14:40:30Z
dc.date.created2008-11-12T23:36:19Z
dc.date.issued2007
dc.identifier.citationNimmagadda, Shastri and Dreher, Heinz. 2007. Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries, in Nigro, Hector Oscar and Csaro, Sandra Elizabeth Gonzlez and Xodo, Daniel Hugo (eds), Data Mining with Ontologies: implementations, findings and frameworks, pp. 211-236. Hershey PA, USA and London, UK: Information Science Reference (an imprint of IGI Global).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/40212
dc.description.abstract

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.

dc.publisherInformation Science Reference (an imprint of IGI Global)
dc.subjectcorrelations
dc.subjectmethodological architectural views
dc.subjectontology
dc.subjectComplex geo-spatial heterogeneous
dc.titleOntology-Based Data Warehousing and Mining Approaches in Petroleum Industries
dc.typeBook Chapter
dcterms.source.startPage211
dcterms.source.endPage236
dcterms.source.titleData Mining with Ontologies: implementations, findings and frameworks
dcterms.source.placeHershey PA, USA and London, UK
dcterms.source.chapter11
curtin.note

This chapter appears in Data Mining with Ontologies: implementations, findings and frameworks, edited by H.O. Nigro, S. E. G. Csaro and D. H. Xodo.

curtin.note

Copyright 2006, IGI Global, www.igi-global.com. Posted by permission of the publisher.

curtin.identifierEPR-2789
curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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