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BeRSys 2014 - 2nd International Workshop on Benchmarking RDF Systems (BeRSys 2014)

Date2014-09-05

Deadline2014-08-15

VenueHangzhou, China China

Keywords

Websitehttps://events.sti2.at/bersys2014

Topics/Call fo Papers

About the Workshop
Following the 1st International workshop on Benchmarking RDF Systems (BeRSys 2013) the aim of the BeRSys 2014 workshop is to provide a discussion forum where researchers and industrials can meet to discuss topics related to the performance of RDF systems. BeRSys 2014 is the only workshop dedicated to benchmarking different aspects of RDF engines - in the line of TPCTC series of workshops.The focus of the workshop is to expose and initiate discussions on best practices, different application needs and scenarios related to different aspects of RDF data management.
Important Dates
Submissions:
Deadline: June 15, 2014
Notification: July 15, 2014
Camera-Ready: August 1, 2014
Workshop:
September 5, 2014
Conference Topics of Interest and Area Keywords
We will solicit contributions presenting experiences with benchmarking RDF systems, real-life RDF application needs which are good candidates for benchmarking, as well as novel ideas on developing benchmarks for different aspects of RDF data management ranging from query processing, reasoning to data integration. More specifically, we will welcome contributions from a diverse set of domain areas such as life science (bio-informatics, pharmaceutical), social networks, cultural informatics, news, digital forensics, e-science (astronomy, geology) and geographical among others. More specifically, the topics of interest include but are not limited to:
Descriptions of RDF data management use cases and query workloads
Benchmarks for RDF SPARQL 1.0 and SPARQL 1.1 query workloads
Benchmarks RDF data integration tasks including but not limited to ontology aligment, instance matching and ETL techniques
Benchmark metrics
Temporal and geospatial benchmarks
Evaluation of benchmark performance results on RDF engines
Benchmark principles
Query processing and optimization algorithms for RDF systems.

Last modified: 2014-05-05 18:03:21