[Corpora-List] ISWC 2016 Benchmarking Linked Data Workshop

Axel Ngonga pr-aksw at informatik.uni-leipzig.de
Tue Jun 21 15:22:36 CEST 2016

Metadata ======

Call for Papers Submission deadline: July 7th 2016 EasyChair submission page: https://easychair.org/conferences/?conf=blink2016 Accepted papers: Short (8 pages) and long (16 pages) Workshop page: http://project-hobbit.eu/events/blink-2016/ Conference: ISWC - Kobe, Japan - October, 17th or 18th, 2016

Description ======= 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 Data systems. 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/.

Paper Submission =========== 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 http://project-hobbit.eu/events/blink-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 17th or 18th: Workshop

Submission Details ============ 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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