Angles, R., Gottlob, G., Pavlović, A., Pichler, R., & Sallinger, E. (2023). SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog. Proceedings of the VLDB Endowment, 16(13), 4240–4253. https://doi.org/10.14778/3625054.3625061
Over the past decade, Knowledge Graphs have received enormous interest both from industry and from academia. Research in this area has been driven, above all, by the Database (DB) community and the Semantic Web (SW) community. However, there still remains a certain divide between approaches coming from these two communities. For instance, while languages such as SQL or Datalog are widely used in the DB area, a different set of languages such as SPARQL and OWL is used in the SW area. Interoperability between such technologies is still a challenge. The goal of this work is to present a uniform and consistent framework meeting important requirements from both, the SW and DB field.
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Project title:
Scalable Reasoning in Knowledge Graphs: VRG18-013 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) Knowledge Graph-driven Tour Management for Sustainable Waste Processing: NXT22-018 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds)
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Project (external):
Vienna Science and Technology Fund (WWTF) ANID FONDE- CYT Chile Royal Society
CC BY-NC-ND 4.0
