=Paper= {{Paper |id=Vol-2179/SSWS2018_preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-2179/SSWS2018_preface.pdf |volume=Vol-2179 }} ==None== https://ceur-ws.org/Vol-2179/SSWS2018_preface.pdf
12th International Workshop on Scalable Semantic
   Web Knowledge Base Systems (SSWS 2018)




At the 147h International Semantic Web Conference (ISWC2018),
Monterey, CA, USA October, 2018
                    SSWS 2018 PC Co-chairs’ Message


SSWS 2018 is the twelfth edition of the successful Scalable Semantic Web Knowledge Base Sys-
tems (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
12th 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.
    In addition to the regular paper presentation sessions, this 12th SSWS workshop includes a
poster session designed to facilitate sharing of ideas among researchers and practitioners. Further,
this workshop arranges an industry talk by Amazon which now o↵ers Neptune, a fully managed
graph database that supports both RDF and Property Graph data models.
    This year we received 9 submissions. Each paper was carefully evaluated by three workshop
Program Committee members. Based on these reviews, we accepted 6 papers for presentation. Two
of these papers where selected as best papers and are also published as part of the book “Emerging
Topics in Semantic Technologies. ISWC 2018 Satellite Events. E. Demidova, A.J. Zaveri, E. Sim-
perl (Eds.), ISBN: 978-3-89838-736-1, 2018, AKA Verlag Berlin”. These are the titles “Extending
LargeRDFBench for Multi-Source Data at Scale for SPARQL Endpoint Federation” and “Assess-
ing Linked Data Versioning Systems: The Semantic Publishing Versioning Benchmark” which are
marked with an * in the table of contents.
    We sincerely thank the authors for all the submissions and are grateful for the excellent work
by the Program Committee members.



August 2018                                                                        Thorsten Liebig
                                                                                    Achille Fokoue
                                                                                           Zhe Wu




    Copyright c 2018 for the individual papers by the papers’ authors. Two papers are also published
in ”Emerging Topics in Semantic Technologies. ISWC 2018 Satellite Events. E. Demidova, A.J.
Zaveri, E. Simperl(Eds.), ISBN: 978-3-89838-736-1, 2018, AKA Verlag Berlin.
Copying permitted for private and academic purposes. This volume is published and copyrighted by
its editors.
Program Committee
Achille Fokoue                       Ralf Möller
IBM Watson Research Center, USA      Hamburg Univ. of Techn., Germany

Raúl Garcı́a-Castro                 Raghava Mutharaju
Univ. Politecnica de Madrid, Spain   Wright State University, Ohio, USA

Bernado Cuenca Grau                  Mariano Rodrı́guez-Muro
University of Oxford, UK             IBM Watson Research Center, USA

Volker Haarslev                      Kavitha Srinivas
Condordia University, Canada         RivetLabs, USA

Pavel Klinov                         Takahira Yamaguchi
Complexible Inc., USA                Keio University, Japan

Adila A. Krisnadhi                   Zhe Wu
Wright State University, Ohio, USA   Oracle, USA

Thorsten Liebig
derivo GmbH, Germany
                                                        Table of Contents


The Fundamentals of Semantic Versioned Querying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                                      1
   Ruben Taelman, Hideaki Takeda, and Ruben Verborgh
Stream Processing: The Matrix Revolutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                               15
   Romana Pernischová, Florian Ruosch, Daniele Dell’Aglio, and Abraham Bernstein
Extending LargeRDFBench for Multi-Source Data at Scale for SPARQL Endpoint
Federation* . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .   28
   Hongyan Wu, Atsuko Yamaguchi, and Jin-Dong KimAli Hasnain, Muhammad Saleem,
   Axel-Cyrille Ngonga Ngomo, and Dietrich Rebholz-Schuhmann
Assessing Linked Data Versioning Systems: The Semantic Publishing Versioning Benchmark*                                                                     45
   Vassilis Papakonstantinou, Irini Fundulaki, and Giorgos Flouris

Approximating Faceted Search for Graph Queries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                                    61
  Vidar Klungre, and Martin Giese
Bridging Property Graphs and RDF for IoT Information Management . . . . . . . . . . . . . . . . . . . .                                                     77
   Abdullah Abbas, and Gilles Privat