BLINK will provide a forum where topics related to the evaluation (included, but not limited to, expressive power, usability and performance) of Linked Data Technologies for different steps of the Big Linked Data Chain can be discussed and elaborated upon.

Big Linked Data is starting to enter the new data economy. Systems are constantly being developed in order to support the booming exchange of data (existing in numerous formats) in the Web and the Enterprise. Big Linked Data standards and benchmarks can function as valuable tools to objectively depict and illustrate the level of adequacy and thus performance provided by the existing Linked Data systems.

This workshop aims to bring together a broad range of attendants interested in benchmarking Big 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
Linked Data benchmark evaluation
Linked Data processing chain
Tools and methodologies for the big linked data value chain:
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/.

Paper Submissions:

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 on http://project-hobbit.eu/events/iswc-2016/

Important Dates:

July 7th, 2016: paper submission deadline

July 31st 2016: Notifications send to authors

August 25th 2016: Camera-ready papers for workshops

October 2016 : Workshop