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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 2023 (ISWC 2023) 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.
Muhammad Saleem, Universität Paderborn Axel-Cyrille Ngonga Ngomo, Universität Paderborn
Alexander Bigerl, University of Paderborn Data Science Group Enrico Daga, The Open University Carlos Buil Aranda, Universidad Técnica Federico Santa María Stefan Schlobach, Vrije Universiteit Amsterdam Peter Haase, metaphacts Stasinos Konstantopoulos, NCSR Demokritos Axel Polleres, Vienna University of Economics and Business - WU Wien Olaf Hartig, Linköping University Pascal Molli, University of Nantes - LS2N Hala Skaf-Molli, University of Nantes - LS2N Paulo Ricardo Viviurka Do Carmo, HTWK Leipzig Aidan Hogan, DCC, Universidad de Chile Gong Cheng, Nanjing University Andre Valdestilhas, AKSW, University Leipzig Stefan Decker, RWTH Aachen University Hashim Khan, Dice, University of Paderborn
There is a vast and rapidly increasing quantity of scientific, corporate, governmental, and crowdsourced data openly published on the Web. Open Data plays a catalyst role in the way structured information is exploited on a large scale. A traditional view of digitally preserving these datasets by “pickling and locking them away” for future use, like groceries, conflicts with their evolution. There are several approaches and frameworks (e.g. Linked Data Stack, PoolParty Suite, Metaphactory, etc.) targeted at managing the life-cycle of the Data Web. More specifically, these solutions are expected to tackle major issues such as the synchronisation problem (monitoring changes), the curation problem (repairing data imperfections), the appraisal problem (assessing the quality of a dataset), the citation problem (how to cite a particular version of a dataset), the archiving problem (retrieving a specific version of a dataset), and the sustainability problem (preserving at scale, ensuring long-term access).
The ninth edition of this workshop was organised for the fourth time at the International Semantic Web Conference (ISWC) and followed the structure of the previous editions. We invited a number of experts in the field of Linked Data and Data Evolution & Preservation in order to suggest and advise on the different topics that our workshop covered this year. This year, at ISWC 2023, we gathered four academic articles and a keynote by David Chaves-Fraga (University of Santiago de Compostela, Spain) for our half-day event.
We thank the authors for their submissions and the program committee for their hard work.
Damien Graux, Huawei Ltd., UK Fabrizio Orlandi, ADAPT Centre, Trinity College Dublin, Ireland Emetis Niazmand, TIB & Leibniz Universität Hannover, Germany Gabriela Ydler, L3S Forshungszentrum, Research Center, Germany Maria-Esther Vidal, TIB & Leibniz Universität Hannover, Germany
Pieter Colpaert, Ghent University, Belgium Marcos Da Silveira, LIST, Luxembourg Christophe Debruyne, Trinity College Dublin, Ireland Javier D. Fernández, F. Hoffmann-La Roche AG, Switzerland Pierre Maillot, Inria, France Harshvardhan J. Pandit, ADAPT Centre - Trinity College Dublin, Ireland George Papastefanatos, IMIS / RC "Athena", Greece Iliana Petrova, Inria, France Philipp D. Rohde, TIB, Germany Ruben Taelman, Ghent University – imec, Belgium