CALL FOR PAPERS

TWELFTH INTERNATIONAL WORKSHOP ON SCALABLE SEMANTIC WEB KNOWLEDGE BASE
SYSTEMS (SSWS2018)

http://www.ssws-ws.org/SSWS2018/

At the 17th International Semantic Web Conference (ISWC2085), Monterey
California, USA, October 8-12, 2018 http://iswc2018.semanticweb.org/

***************************************************************************

WORKSHOP DESCRIPTION

SSWS 2018  is the twelfth edition  of the successful Scalable  Semantic Web Knowledge Base Systems workshop series. This workshop provides a forum for discussing application-oriented issues of Semantic Technologies, with the focus on the development and deployment of systems that turn large volumes of real-world data into actionable knowledge at industry  domains. This imposes significant scalability requirements on storage and processing systems and demands for reliable workflows to curate and validate data from various  sources. SSWS furthermore invites contributions that integrate methods and results from research on Property Graphs and Graph Databases for instance as well as approaches that combine  Knowledge Graphs with machine learning.

SSWS welcomes submissions that address relevant research results, report on real-world deployments as well as describe benchmarks and capable back ends or system architectures.

As in previous years the SSWS workshop is co-located with the International Semantic Web Conference (ISWC  2018). This  year, it will be held in Monterey, California, USA.

The workshop day is October 9, 2018

The workshop will be centered on the discussion of the following aspects:

• recent  ideas  and  advances  towards building  scalable  knowledge  base systems
• parallelization or optimization of  RDF/OWL storage, reasoning and SPARQL querying
• use-cases presenting Semantic Technologies  at industry scale performance
• evaluations and related principles, methodologies or tools
• tools and workflows  supporting validation and curation of semantic data from various sources
• approaches to integrate symbolic with sub-symbolic methods such as machine learning
• combining technology and methods from Property Graphs, RDF Graphs, and OWL reasoning
• identification of important issues and future research directions with respect to the topics above

IMPORTANT DATES

Abstract Submission Deadline.   May  28, 2018 (11:59PM Hawaii Time)
Paper Submission Deadline        June  1, 2018 (11:59PM Hawaii Time)
Acceptance Notification             June 28, 2015
Workshop Day (full day)           October 9, 2018

ORGANISATION COMMITTEE

Achille Fokoue
IBM T.J. Watson Research Center, NY, USA

Thorsten Liebig
derivo GmbH, Ulm, Germany

Zhe Wu
Oracle America, Inc., CA, USA

PROGRAM COMMITTEE MEMBERS

Bernardo Cuenca Grau - University of Oxford, UK
Raúl García-Castro - Universidad Politécnica de Madrid, Spain
Volker Haarslev    - Concordia University, Montreal, Canada
Pavel Klinov - Complexible Inc., Germany
Adila A. Krisnadhi - Universitas Indonesia, Indonesa
Ralf Möller - University of Luebeck
Raghava Mutharaju - GE Global Research
Mariano Rodriguez-Muro - IBM T.J. Watson Research Center, USA
Kavitha Srinivas - RivetLabs, USA
Takahira Yamaguchi - Keio University