RWTH Aachen University
Semantically annotating and interlinking open data results in linked open data which concisely and unambiguously describes a knowledge domain. However, the uptake of the linked data depends on its usefulness to non-semantic web experts. Failing to support data consumers to understand the added-value of linked data and possible exploitation opportunities could inhibit its diffusion. In this paper, the authors propose an interactive visual workflow for discovering and exploring linked open data. They implemented the workflow considering academic library metadata and carried out a qualitative evaluation.