View Item 

Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries

Access Status
Fulltext not available
Authors
Nimmagadda, Shastri
Dreher, Heinz
Date
2007
Type
Book Chapter

Metadata
Show full item record
Citation
Nimmagadda, 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).
Source Title
Data Mining with Ontologies: implementations, findings and frameworks
Faculty
Curtin Business School
School of Information Systems
Remarks

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.

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

URI
Collection
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.