11th International Workshop on Scalable Semantic
   Web Knowledge Base Systems (SSWS 2015)




At the 14th International Semantic Web Conference (ISWC2015),
Bethlehem, PA, USA October, 2015
                     SSWS 2015 PC Co-chairs’ Message


SSWS 2015 is the eleventh edition of the successful Scalable Semantic Web Knowledge Base Systems
workshop series. The workshop series is focussed on addressing scalability issues with respect to
the development and deployment of knowledge base systems on the Semantic Web. Typically, such
systems deal with information described in Semantic Web languages such as OWL and RDF(S),
and provide services such as storing, reasoning, querying and debugging. There are two basic re-
quirements for these systems. First, they have to satisfy the applications semantic requirements by
providing sufficient reasoning support. Second, they must scale well in order to be of practical use.
Given the sheer size and distributed nature of the Semantic Web, these requirements impose addi-
tional challenges beyond those addressed by earlier knowledge base systems. This workshop brought
together researchers and practitioners to share their ideas regarding building and evaluating scalable
knowledge base systems for the Semantic 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.




October 2015                                                                         Thorsten Liebig
                                                                                      Achille Fokoue
Program Committee
Achille Fokoue                          Thorsten Liebig
IBM Watson Research Center, USA         derivo GmbH, Germany

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

Bernado Cuenca Grau                     Padmashree Ravindra
University of Oxford, UK                North Carolina State University, USA

Volker Haarslev                         Mariano Rodrı́guez-Muro
Condordia University, Canada            IBM Watson Research Center, USA

Anastasios Kementsietsidis              Boris Motik
Google Research, Mountain View, USA     University of Oxford, UK

Pavel Klinov                            Supriyo Chakaraborty
Complexible Inc., USA                   IBM Watson Research Center, USA

Adila A. Krisnadhi                      Takahira Yamaguchi
Wright State University, Ohio, USA      Keio University, Japan


Additional Reviewers
Zixi Quan
Condordia University, Canada




                                      III
                                                  Table of Contents


Invited Talk: Making a Silk Purse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .    1
   David Mizell
The OWL Reasoner Evaluation (ORE) 2015 Competition Report . . . . . . . . . . . . . . . . . . . . . . . .                                    2
   Bijan Parsia, Nicolas Matentzoglu, Rafael Gonalves, Birte Glimm, and Andreas
   Steigmiller
On the Evaluation of RDF Distribution Algorithms Implemented over Apache Spark . . . . . . .                                                16
   Olivier Cur, Hubert Naacke, Mohamed-Amine Baazizi, and Bernd Amann
Reifying RDF: What Works Well With Wikidata? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                      32
   Daniel Hernndez, Aidan Hogan, and Markus Krtzsch
Dynamic join order optimization for SPARQL endpoint federation . . . . . . . . . . . . . . . . . . . . . . .                                48
  Hongyan Wu, Atsuko Yamaguchi, and Jin-Dong Kim
Parallel Data Loading during Querying Deep Web and Linked Open Data with SPARQL . . .                                                       63
   Pauline Folz, Gabriela Montoya, Hala Skaf-Molli, Pascal Molli, and Maria-Esther
   Vidal