Heiko Paulheim is a computer scientist and a full professor for Data Science at the University of Mannheim. His group conducts various projects around knowledge graphs, yielding, among others, the public knowledge graphs Web Is ALOD, Ca Li Graph, and DBk Wik. Moreover, his group is concerned with using knowledge graphs in machine learning, which has lead to the development of the widespread RDF2vec method for knowledge graph embeddings. In the recent past, Heiko Paulheim also leads projects which are concerned with ethical, societal, and legal aspects of AI, including Kare Ko KI, which deals with the impact of price-setting AIs on antitrust legislation, and the Re New RS project on ethical news recommenders.
Petar Ristoski is an applied researcher at e Bay in San Jose, CA.
Jan Portisch is a Ph D student at the University of Mannheim in cooperation with SAP SE – Business Technology Platform – One Domain Model.
2 Ebooks tarafından Petar Ristoski
Mehwish Alam & Pierre-Antoine Champin: Semantic Web
This book constitutes the refereed proceedings of the 18th International Semantic Web Conference, ESWC 2021, held virtually in June 2021.The 41 full papers and 2 short papers presented were carefully …
EPUB
İngilizce
DRM
€114.58
Heiko Paulheim & Petar Ristoski: Embedding Knowledge Graphs with RDF2vec
This book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to compute vector representations from a graph, known as RDF2vec. The authors d …
PDF
İngilizce
€48.14