[Back]


Talks and Poster Presentations (with Proceedings-Entry):

P. Atzeni, L. Bellomarini, D. Benedetto, E. Sallinger:
"Traversing Knowledge Graphs with Good Old (and New) Joins";
Talk: KR4L 2020 - International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020, Santiago de Compostela, Spain; 2020-08-29 - 2020-09-08; in: "Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence {(ECAI} 2020), Virtual Event, September, 2020},", (2020), 3 - 9.



English abstract:
Knowledge Graphs (KGs) provide a concise and intuitive abstraction for a variety of domains where edges capture the (potentially recursive) relationships between the entities [9]. This is leading to the rise of systems and tools able to facilitate graph data modeling, processing and analysis, with prominent AI companies developing core systems based on the property graph model


Related Projects:
Project Head Reinhard Pichler:
KnowledgeGraph


Created from the Publication Database of the Vienna University of Technology.