Researcher Or Crowd Member? Why Not Both! the Open Research Knowledge Graph for Applying and Communicating Crowdre Research
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, eduard.groen@iese.fraunhofer.de zDepartment of Information and Computing Sciences, Utrecht University, Netherlands xDepartment of Software Engineering, University of Science and Technology Bannu, Pakistan, engr_javed501@yahoo.com 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,
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