Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/eswc2016/paper/demo/21> ?p ?o. }
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- 21 creator antoine-pultier.
- 21 creator arnej-berre.
- 21 creator bill-roberts.
- 21 creator dina-sukhobok.
- 21 creator dumitru-roman.
- 21 creator nikolay-nikolov.
- 21 creator nivethika-mahasivam.
- 21 creator rick-moynihan.
- 21 creator xianglin-ye.
- 21 creator brian-elves%C3%A6ter.
- 21 type InProceedings.
- 21 label "Tabular Data Cleaning and Linked Data Generation with Grafterizer".
- 21 sameAs 21.
- 21 abstract "Over the past several years the amount of published open data has increased significantly. The majority of them are tabular data and transforming them to linked data requires powerful and flexible approaches for data cleaning, preparation and RDF-ization. This paper introduces Grafterizer --- a software framework developed to support data workers and data developers in the process of converting raw tabular data into linked data. Its main components include a powerful software library and DSL for data cleaning and RDF-ization, a front-end framework for interactive specification of data transformations and a back-end for management and execution of data transformations. The proposed demonstration will focus on Grafterizer's powerful features for data cleaning and RDF-ization in a scenario using data about the risk of failure of transport infrastructure components due to natural hazards.".
- 21 hasAuthorList authorList.
- 21 isPartOf proceedings.
- 21 title "Tabular Data Cleaning and Linked Data Generation with Grafterizer".