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Management of Data Provenance through Shrewdness Schema in Geosciences Application


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1 Annamalai University, Annamalai Nagar, TN, India
     

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Development of shrewdness Scheme for geo science application is to efficiently store the geo science tracing data and perform management of data provenance. Data provenance provides information about the origin of data. Shrewdness scheme includes both Workflow provenance and Fine grained Data provenance. Workflow provenance provides information about the reproducibility of the data product and Fine grained provenance is for creating the data product from its input value. Data preprocessing is applied to geo science data which includes data cleaning, data integration and transformation and data reduction. To trace the process of output data from geo-data measurements, classification and clustering techniques are applied to produce fine-grained data. Shrewdness scheme results in fine-grained data repertory based on workflow provenance with minimum storage space. The framework that obtained from shrewdness schema is self adaptable to any scientific model. User interaction of the framework is performed by using spatial inverted index list algorithm which acts as a search engine.

Keywords

Shrewdness Schema, Geospatial, Data Provenance, Geographical Information System (GIS).
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  • Management of Data Provenance through Shrewdness Schema in Geosciences Application

Abstract Views: 265  |  PDF Views: 5

Authors

K. S. Kannan
Annamalai University, Annamalai Nagar, TN, India

Abstract


Development of shrewdness Scheme for geo science application is to efficiently store the geo science tracing data and perform management of data provenance. Data provenance provides information about the origin of data. Shrewdness scheme includes both Workflow provenance and Fine grained Data provenance. Workflow provenance provides information about the reproducibility of the data product and Fine grained provenance is for creating the data product from its input value. Data preprocessing is applied to geo science data which includes data cleaning, data integration and transformation and data reduction. To trace the process of output data from geo-data measurements, classification and clustering techniques are applied to produce fine-grained data. Shrewdness scheme results in fine-grained data repertory based on workflow provenance with minimum storage space. The framework that obtained from shrewdness schema is self adaptable to any scientific model. User interaction of the framework is performed by using spatial inverted index list algorithm which acts as a search engine.

Keywords


Shrewdness Schema, Geospatial, Data Provenance, Geographical Information System (GIS).



DOI: https://doi.org/10.36039/ciitaas%2F6%2F1%2F2014%2F106796.