Towards Datasets Annotation using Semantic Technologies for further Visualization and Business Analytics
SSRN Electronic Journal
2021
- 282Usage
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This paper proposes an approach to datasets annotation using semantic networks and RDF statements in order to provide a knowledge base of best practices for begineers in business data analytics, who do not know excactly which graphs and charts better suite for visualization of their datasets.
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