Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries

Nimmagadda, Shastri L.; Dreher, Heinz

doi:10.4018/9781599046181.ch011

Cited by 9 publications

(28 citation statements)

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“…Nimmagadda and Dreher (2008a) demonstrate the adaptability of data warehousing and mining approaches addressing mapping of multidimensional data structures and domain knowledge modelling. Data integration and mining of specific knowledge domains facilitate interpretation of business knowledge in turbulent environments.…”

Section: Problem Statement Issues and Solutionsmentioning

confidence: 99%

“…Resources data are organised in different data schema approaches, as narrated in Figure 2. Nimmagadda and Dreher (2008a) discuss a data-warehousing environment using multidimensional modelling. The star schema data models shown in Figure 2 represent how multidimensional data associate with period data attribute.…”

Section: Problem Statement Issues and Solutionsmentioning

confidence: 99%

“…These business units may be operating both locally and globally, in a distributed system environment. Data sources and requirements for conceptualising and building data models are discussed exhaustively in Nimmagadda and Dreher (2008a). For integrating the data from multiple sources, they need to be cleaned, reformatted, logically and physically organised in an intelligent storage environment.…”

Section: Problem Statement Issues and Solutionsmentioning

confidence: 99%

“…These are classical mining methods, yet to be widely tested in resources business applications. Multidimensional modelling approaches (Nimmagadda and Dreher, 2007a, 2007b, 2008a, 2008b, used for warehousing resources data, are described in Section 4. Flahive et al (2004) and Bhatt et al (2004) describe ontologies in distributed environments.…”

Section: Problem Statement Issues and Solutionsmentioning

confidence: 99%

“…An integrated framework methodology, used for managing resources data Source: Modified after Nimmagadda and Dreher (2008a) As narrated previously, exploration, drilling, production and marketing are important sub-systems within a major oil company. Data needed in each sub-system have been identified and with the best use of data acquisition and processed data (information) repositories, manager of each sub-system confidently utilises this information to perform organisational functions.…”

Section: Figurementioning

confidence: 99%

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Data warehousing and mining technologies for adaptability in turbulent resources business environments

Nimmagadda

Dreher

2011

IJBIDM

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Abstract:Resources businesses often undergo turbulent and volatile periods, due to rapid increase of resource demand and poorly organised resources data volumes. This volatile industry operates multifaceted business units that manage heterogeneous data sources. Data integration and interactive business processes, distributed across complex business environments, need attention. Historical resources data, geographically (spatial dimension) archived for decades (periodic dimension), are source of analysing past business data dimensions and predicting their future turbulences. Periodic data, modelled in an integrated and robust warehouse environment, are explored using data mining methodologies. The data models presented, will optimise future inputs in the turbulent resources business environments.

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Section: Problem Statement Issues and Solutionsmentioning

confidence: 99%

Section: Problem Statement Issues and Solutionsmentioning

confidence: 99%

Section: Problem Statement Issues and Solutionsmentioning

confidence: 99%

Section: Problem Statement Issues and Solutionsmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

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Data warehousing and mining technologies for adaptability in turbulent resources business environments

Nimmagadda

Dreher

2011

IJBIDM

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Quantitative assessment of retinoid signaling pathways in the developing eye and retina of the chicken embryo

Hoover

Gundersen

Ulven

et al. 2001

J of Comparative Neurology

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Retinoid signaling has been implicated as an important regulator of retinal development and differentiation. We have used state of the art high-pressure liquid chromatography to identify and quantitate biologically active retinoids, immunohistochemistry to localize the retinoic acid synthetic enzyme retinaldehyde dehydrogenase 2 (RALDH2), and nucleic acid assays to quantitate and localize retinoid receptor gene transcripts in the developing eye and retina of the chicken. Our results demonstrate spatial distinctions in retinoid synthesis and signaling that may be related to laminar differentiation in the developing retina. Retinoic acids (RAs) and their precursor retinols (ROHs) are the predominant retinoids in the developing eye. All-trans-RA and all-trans-3,4-didehydro-RA are present in the neuroepithelium in approximately equal amounts from early stages of neurogenesis until shortly before hatching. The retinoid X receptor (RXR) ligand 9-cis-RA is undetectable at all stages; if present, it cannot exceed a small percentage of the total RA content. RAs are not detected in the pigment epithelium. All-trans-ROH is present in the neuroepithelium and pigment epithelium, whereas all-trans-3,4-didehydro-ROH is detected only in the pigment epithelium and/or the choroid and sclera. RALDH2 immunoreactivity is intense in the choroid, low or absent in the pigment epithelium, and moderate in the neuroepithelium, where it is highest in the outer layers. Transcripts of all five chicken retinoid receptor genes are present in the neural retina and eye throughout development. During the period of neurogenesis, at least three of the receptors (RAR gamma, RXR gamma, RXRalpha), exhibit dynamic patterns of differential localization within the depths of the neural retina.

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Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management

Nimmagadda

Dreher

2008

2008 2nd IEEE International Conference on Digital Ecosystems and Technologies

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Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries

Cited by 9 publications

References 0 publications

Data warehousing and mining technologies for adaptability in turbulent resources business environments

Data warehousing and mining technologies for adaptability in turbulent resources business environments

Quantitative assessment of retinoid signaling pathways in the developing eye and retina of the chicken embryo

Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management

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