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Modeling Data Set Versioning Operations

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Presentation on theme: "Modeling Data Set Versioning Operations"— Presentation transcript:

1 Modeling Data Set Versioning Operations
Benno Lee1 Peter Fox1 (1Rensselaer Polytechnic Institute 110 8th St., Troy, NY, United States) Introduction Data sets do not remain stagnant after collection.  They must often be corrected and grown to ensure data quality and coverage.  Popular version naming methods do not capture the magnitude of change a data set undergoes. To better understand the manner in which data sets change, we experiment with the combination of a variety of Semantic Web technologies to automate change information documentation. Detect changes in mappings from Version 1 to Version 2 Use the versioning concept model to categorize the changes made to the files Instantiate relationships into a machine-readable semantic graph Use Resource Description Framework in Attributes (RDFa) to embed machine-readable change information into the change log 2. Concept Model Addition Invalidation 3. RDF Graph The graph displays a selection of modifications made in the data set that correspond to the Addition, Invalidation, and Modification operations in the concept model, respectively. Modification 4. RDF Embedded Changelog Conclusion Conclusion Conclusion This process demonstrates that autonomous systems can collect and encode detailed change information to provide better insight into the transformation of data. The production of change logs into a web accessible format increases the transparency and availability of change information to data consumers. RDFa embedded change logs also provide a means for machines to assist consumers in adapting to data evolution. Further work needs to be completed to ensure the model fully extends to capturing database and web ontology evolution. The graph structure of linked data also reveals a potential to transform the graph into a flow and provide a quantitative measure for data change. Embedding the change information using RDFa keeps the change log human readable, while also allowing for machine consumptions Sponsors: National Science Foundation Poster: MT15A-08 Glossary: RPI – Rensselaer Polytechnic Institute TWC – Tetherless World Constellation at Rensselaer Polytechnic Institute Acknowledgments: Person1 and Person2 from the Tetherless World Constellation at RPI


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