BLINK will provide a forum where topics related to the evaluation
(included, but not limited to the performance, accuracy, expressive
power and usability) of Linked Data Technologies for different steps of
the Linked Data lifecycle can be discussed and elaborated upon.
Linked Data now part of the new data economy and Big Linked Data is
gaining in use and traction. Systems are constantly being developed in
order to support the booming exchange of data (existing in numerous
formats) in the Web and the Enterprise. Linked Data benchmarks can
function as valuable tools to objectively depict and illustrate the
level of adequacy and thus performance provided by the existing Linked
This workshop aims to bring together a broad range of attendants
interested in benchmarking Linked Data and aims at identifying the
specific needs and challenges of the domain in order to foster
interdisciplinary collaborations towards attaining these challenges.
More specifically the objectives of this workshop are to:
create a discussion forum where researchers and industrials can meet and
discuss topics related to the performance of Linked Data systems and
expose and initiate discussions on best practices, different application
needs and scenarios related to Linked Data management.
Topics of Interest
We welcome contributions presenting experiences with benchmarking Linked
Data technologies as well as technical contributions regarding the
development of benchmarks for all aspects of the Linked Data/Big Data
lifecycle. All domains (e.g., life science, social networks, smart
cities, news, digital forensics, e-science and geo-spatial data
management) are welcome.
Topics of interest include but are not limited to:
* Linked Data benchmarks
* Novel benchmarking results
* Analysis of existing benchmarks
* Novel measures for benchmarking Linked Data
* Linked Data benchmark evaluation
* Complex benchmarking pipelines
* Application of benchmarks in academic/industrial settings
* Tools and methodologies for the linked data generation and
acquisition, analytics and processing, storage and curation,
visualization and data access.
This series of workshops are supported by H2020 European Project HOBBIT
(Holistic Benchmarking of Big Linked Data), see http://project-hobbit.eu/.
The workshop will accept two types of submissions: short papers (8
pages) will be either position papers or describe early works in the
area of benchmarking. Long papers (up to 16 pages) will describe
benchmarks, benchmarking techniques or benchmarking results along the
linked data lifecycle. Details on the submission process can be found at
July 7th, 2016: paper submission deadline
July 31st 2016: Notifications send to authors
August 25th 2016: Camera-ready papers for workshops
October 17th or 18th: Workshop
The workshop is now accepting paper submissions. Long papers (up to 16
pages) and short papers (up to 8 pages) describing approaches or ideas /
challenges on the topics of the workshop are invited. Submissions must
be in PDF, formatted in the style of the Springer Publications format
for Lecture Notes in Computer Science (LNCS). For details on the LNCS
style, see Springer’s Author Instructions. Papers should be submitted
through the EasyChair system
https://easychair.org/conferences/?conf=blink2016 no later than midnight
Hawaii time July 7th, 2016. Submissions will be reviewed by members of
the workshop program committee. Accepted papers will be included in the
ISWC 2016 Workshop on Benchmarking Linked Data (BLINK) proceedings.
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