Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research Oliver Karras∗, Eduard C. Groenyz, Javed Ali Khanx, Sören Auer∗ ∗Leibniz Information Centre for Science and Technology, Germany, {oliver.karras, soeren.auer}@tib.eu yFraunhofer IESE, Germany,
[email protected] zDepartment of Information and Computing Sciences, Utrecht University, Netherlands xDepartment of Software Engineering, University of Science and Technology Bannu, Pakistan,
[email protected] Abstract—In recent decades, there has been a major shift while this representation is easy for humans to process, it is towards improved digital access to scholarly works. However, poorly interlinked and not machine-actionable [3]. The next step even now that these works are available in digital form, they in the digital transformation of scholarly knowledge requires remain document-based, making it difficult to communicate the knowledge they contain. The next logical step is to extend a more flexible, fine-grained, semantic, and context-sensitive these works with more flexible, fine-grained, semantic, and representation that allows humans to quickly compare research context-sensitive representations of scholarly knowledge. The results, and machines to process them. This representation can Open Research Knowledge Graph (ORKG) is a platform that hardly be created automatically, but requires domain experts [1] structures and interlinks scholarly knowledge, relying on crowd- and an infrastructure for acquiring,