13th International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS 2020)

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At the 19th International Semantic Web Conference (ISWC2020), Athens, Greece November, 2020

SSWS 2020 PC Co-chairs’ Message SSWS 2020 is the thirteenth edition of the successful Scalable Semantic Web Knowledge Base Systems (SSWS) workshop series. The SSWS series is focused on addressing scalability issues with respect to the development and deployment of knowledge base systems on the Semantic Web. This 13th workshop aimed at providing a forum for discussing application-oriented issues of Semantic Technologies, with the focus on systems that turn large volumes of real-world data into actionable knowledge at industry domains. This goal imposed significant scalability requirements on storage and processing systems and demands for reliable workflows to curate and validate data from various sources. By inviting contributions that integrate methods and results from research on RDF and Property Graphs, this workshop brought together researchers and practitioners to share their ideas regarding building and evaluating scalable knowledge base systems for the web.

This year we received 6 submissions. Each paper was carefully evaluated by three workshop Program Committee members. Based on these reviews, we accepted 5 papers for presentation.

We sincerely thank the authors for all the submissions and are grateful for the excellent work by the Program Committee members.

November 2020

Thorsten Liebig Achille Fokoue Zhe Wu

Copyright c 2020 for the individual papers by the papers’ authors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0). Program Committee

Achille Fokoue IBM Watson Research Center, USA

Boris Motik University of Oxford, UK

Raghava Mutharaju Wright State University, Ohio, USA

Thorsten Liebig derivo GmbH, Germany

Kavitha Srinivas IBM Watson Research Center, USA

Mariano Rodr´ıguez-Muro Google, USA

Adila A. Krisnadhi Universitas Indonesia Zhe Wu eBay, USA

Ralf M¨oller University of Luebeck, Germany

Bernado Cuenca Grau University of Oxford, UK

1 Revisiting RDF storage layouts for ecient query answering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Maxime Buron, Fran¸cois Goasdou´e, Ioana Manolescu, Tayeb Merabti, Marie-Laure Mugnier Community-Based RDF Partitioning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

Fredah Banda, Boris Motik Template Libraries for Industrial Asset Maintenance: A Methodology for Scalable and Maintainable Ontologies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

Daniel P. Lupp, Melinda Hodkiewicz, Martin G. Skjaeveland

References

Using Semantic Technologies to Manage a Data Lake: Data Catalog, Provenance and Access Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Henrik Dibowski , Stefan Schmid, Yulia Svetashova, Cory Henson, Tuan Tran