The Semantic Business Unit (SEMBU) in NTT DATA aims to increase the semantic interoper ability and accessibility of European institutions’ data projects by following Linked Open Data (LOD) principles to build controlled vocabularies and produce Knowledge Graphs (KGs). One of its most notable projects revolves around the CORDIS portal1, which publishes information about research and innovation projects funded by the European Commission. SEMBU pursues two main goals: (i) expose semantic data related to CORDIS via a SPARQL endpoint that facilitates access and reuse of quality scientific-related data, and (ii) design an efficient, incremental, and automated KG lifecycle to be used as a reference in other data projects. To that end, we have adopted state-of-the-art semantic technologies to support the creation and management of the KG with the goal of centralizing knowledge and providing an overall view of data assets that improve data governance, maintenance, and external interaction by data consumers. We have also identified some of their limitations which are tackled via an industrial PhD. This paper reports our experience, the obstacles, and proposals for generating and maintaining the CORDIS KG.This work was partly funded by the Spanish Ministerio de Ciencia e Innovación under project PID2020-117191RBI00 (DOGO4ML). Javier Flores is supported by contract 2020-DI-027 of the Industrial Doctorate Program of the Government of Catalonia and CONACYT’s scholarship. Sergi Nadal is partly supported by the Spanish Ministerio de Ciencia e Innovación, as well as the European Union - NextGenerationEU, under project FJC2020-045809-I /AEI/10.13039/501100011033.Peer ReviewedPostprint (published version
