Lab: Semantic Lifting - CSV: Difference between revisions
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Today's topic involves lifting the data in CSV format into RDF. | Today's topic involves lifting the data in CSV format into RDF. | ||
The goal is for you to learn an example of how we can convert unsemantic data into RDF. | The goal is for you to learn an example of how we can convert unsemantic data into RDF. | ||
CSV stands for Comma Seperated Values, meaning that each point of data is seperated by a column. | CSV stands for Comma Seperated Values, meaning that each point of data is seperated by a column. | ||
Fortunately, CSV is already structured in a way that makes the creation of triples relatively easy. | Fortunately, CSV is already structured in a way that makes the creation of triples relatively easy. | ||
Revision as of 18:51, 12 March 2020
Lab 9: Semantic Lifting - CSV
Topics
Today's topic involves lifting the data in CSV format into RDF. The goal is for you to learn an example of how we can convert unsemantic data into RDF.
CSV stands for Comma Seperated Values, meaning that each point of data is seperated by a column.
Fortunately, CSV is already structured in a way that makes the creation of triples relatively easy.
Relevant Libraries
- Pandas
