abstract
- The compressed archive contains two files: The DILS2018 use-case dataset, collected via subject matter experts to represent DILS 2018 papers as a machine readable graph model. The data is presented as a tabular format for ease of use and import. RDF representation of the primary research contribution from the ORKG TPDL2019 paper