posted by user: tliebig || 5006 views || tracked by 4 users: [display]

SSWS 2018 : 12th International Workshop on Scalable Semantic Web Knowledge Base Systems

FacebookTwitterLinkedInGoogle

Link: http://www.ssws-ws.org/SSWS2018/
 
When Oct 9, 2018 - Oct 9, 2019
Where Monterey, California, USA
Abstract Registration Due May 28, 2018
Submission Deadline Jun 1, 2018
Notification Due Jun 27, 2018
Final Version Due Jul 23, 2018
Categories    semantic web   reasoning   ontologies   rdf
 

Call For Papers

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, Japan

Related Resources

KEOD 2024   16th International Conference on Knowledge Engineering and Ontology Development
SOFEA 2024   10th International Conference on Software Engineering and Applications
SWODCH 2024   4th International Workshop on Semantic Web and Ontology Design for Cultural Heritage
CSSE 2024   2nd International Conference on Computer Science and Software Engineering
VCOI 2024   2nd International Conference on Vision and Computational Intelligence
ICWI 2024   23rd International Conference WWW/Internet
AIDD 2024   2nd International Conference on AI, Data Mining and Data Science
IJWesT 2024   International Journal of Web & Semantic Technology
SOFEA 2024   10th International Conference on Software Engineering and Applications
SWIFT-AG 2025   The 1st International Workshop on Smart Web-powered Intelligence for Farm Technology and Agriculture