=Paper=
{{Paper
|id=Vol-3279/preface
|storemode=property
|title=Preface: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs
|pdfUrl=https://ceur-ws.org/Vol-3279/preface.pdf
|volume=Vol-3279
|authors=Muhammad Saleem,Axel-Cyrille N. Ngomo
|dblpUrl=https://dblp.org/rec/conf/semweb/X22
}}
==Preface: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs==
<pdf width="1500px">https://ceur-ws.org/Vol-3279/preface.pdf</pdf>
<pre>
Muhammad Saleem
Axel-Cyrille Ngonga Ngomo
(Eds.)




Proceedings of
QuWeDa 2022: 6th Workshop on
         Storing, Querying and Benchmarking Knowledge Graphs


co-located with 21st International Semantic Web Conference (ISWC 2022)
virtual, 23-27 October 2022, Hangzhou, China
Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the
volume as a collection by its editors. This volume and its papers are published under the
Creative Commons License Attribution 4.0 International (CC BY 4.0).



Primary Editors’ address:
University of Leipzig
Augustusplatz 10 04109 Leipzig, Germany
saleem@informatik.uni-leipzig.de
Preface

The constant growth of Knowledge Graphs (KGs) on the Web raises new challenges for
querying and integrating massive amounts of data across multiple KGs. Such KGs are available
through various interfaces, such as data dumps, Linked Data Platform, SPARQL endpoints and
Triple Pattern Fragments. In addition, various sources produce streaming data. Efficiently
querying these sources is of central importance for the scalability of Linked Data and Semantic
Web technologies. To exploit the massive amount of data to its full potential, users should be
able to query and combine this data easily and effectively. This workshop at the International
Semantic Web Conference 2022 (ISWC 2022) seeks original articles describing theoretical and
practical methods and techniques for fostering, querying, and consuming the Data Web.
The workshop brought together members of the community interested in demonstrating their
latest advances in query processing systems for Knowledge Graphs. The event fostered
discussion for proposing novel RDF query processing techniques, language extension, and
benchmarking and experimental evaluation of the engines.

We thank the authors for their submissions and the program committee for their hard work.




November 2022                         Muhammad Saleem, Axel-Cyrille Ngonga Ngomo




QuWeDa 2022 Organizing Committee
Muhammad Saleem, Universität Paderborn
Axel-Cyrille Ngonga Ngomo, Universität Paderborn
QuWeDa 2022 Program Committee
Gabriela Montoya, Aalborg University
Harald Sack, FIZ Karlsruhe, Leibniz Institute for Information Infrastructure & KIT Karlsruhe
Gong Cheng, Nanjing University
Stefan Schlobach, Vrije Universiteit Amsterdam
Pascal Molli, University of Nantes - LS2N
Enrico Daga, The Open University
Hala Skaf-Molli, University of Nantes - LS2N
Aidan Hogan, DCC, Universidad de Chile
Peter Haase, metaphacts
Carlos Buil Aranda, Universidad Técnica Federico Santa María
Vanessa Lopez, IBM
Angelos Charalambidis, University of Athens
Olaf Hartig, Linköping University
Alexander Bigerl, Universität Paderborn
Ghislain Atemezing, Mondeca
Milos Jovanovik, Ss. Cyril and Methodius University in Skopje
Adrian Wilke, University of Paderborn
Hashim Khan, University of Paderborn

</pre>