Data Provenance Techniques and Semantics Using W7 model-A Review
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Abstract
Data Provenance means tracing the lineage of the source of data, who performed manipulation on data, how it came to existence, Tracking data provenance helps in ensuring that the data which is being provided by many different providers and sources can be fully trusted and used significantly The area of data provenance is becoming very useful for scientific research work. Although data provenance can be extremely important for different applications, research on data provenance has started and there is still a lot of work that needs to be done. One of the main objective of this paper is to investigate the semantics or meaning of data provenance. In this paper we discuss with some data provenance categories like provenance granularity, data status, provenance computing, semantics of provenance, provenance storage and applications which are proposed to analyze present provenance techniques. We also review a W7 model for managing data for data provenance system.
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