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Workshop on Benchmarking Linked Data (BLINK) at ISWC 2017, Vienna, Austria

October 21 - October 25


*** PAPER SUBMISSION DEADLINE EXTENDED TO AUGUST 6th, 2017 ***

*** ABSTRACT SUBMISSION DEADLINE: JULY 28th, 2017 ***

BLINK provides 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 entering 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.

BLINK is bringing together a broad range of attendants interested in benchmarking Big Linked Data and aims at identifying collectively 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.

Important Dates:

  • July 28th, 2017: ABSTRACT SUBMISSION DEADLINE
  • August  6th, 2017: NEW PAPER SUBMISSION DEADLINE
  • August 15th 2017: Notifications send to authors
  • September 1st 2017: Camera-ready papers for workshops
  • October 2017 : Workshop

Call for Papers

BLINK provides 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 Value Chain can be discussed and elaborated upon.

Big Linked Data is entering 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 of the existing Linked Data tools.

This workshop is bringing together a broad range of attendants interested in benchmarking Big Linked Data tools and technologies 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 such as life science, social networks, cultural heritage, 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
    • linking and instance matching
    • archiving and versioning
    • 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 as well as systems and benchmark surveys along the linked data lifecycle.

This year we invite interested parties to submit papers where they describe 5 queries/tasks for the HOBBIT benchmarks of their choice that would stress existing Linked Data technologies. The interested parties will be able to run those additional queries using the HOBBIT platform and  the results of these experiments will be presented at a special session of the BLINK workshop during which authors will be able to discuss with the workshop organisers their experience with the results of the HOBBIT project.

The authors of the accepted papers will be able to publish an extended version of their papers at a Special Issue on Benchmarking Big Linked Data at the Semantic Web Journal (SWJ).

Details on the submission process can be found on https://project-hobbit.eu/events/blink2017/.

Important Dates:

  • July 28th, 2017: ABSTRACT SUBMISSION DEADLINE
  • August 6th, 2017:NEW PAPER SUBMISSION DEADLINE
  • August 15th 2017: Notifications send to authors
  • September 1sh 2016: Camera-ready papers for workshops
  • October 2017 : Workshop

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=blink2017 no later than midnight Hawaii time August  6th, 2017. Abstracts should be submitted by July 28th, 2017. Submissions will be reviewed by members of the workshop program committee. Accepted papers will be included in the ISWC 2017 Workshop on Benchmarking Linked Data (BLINK) proceedings.

Programme & Accepted Papers

Sunday, Octomber 21st, 2017
14:00 – 17:20
Room:  TC.3.01
14:00 – 14:15 Welcome
14:15 – 14:40 Evaluating SPARQL 1.1 Property Path Support, Daniel Janke, Adrian Skubella, Steffen Staab
14:40 – 15:05 Koral: A Glass Box Profiling System for Individual Components of Distributed RDF Stores, Daniel Janke, Steffen Staab, Matthias Thimm
15:05 – 15:30 SPBv: Benchmarking Linked Data Archiving Systems, Vassilis Papakonstantinou, Giorgos Flouris, Irini Fundulaki, Kostas Stefanidis, Yannis Roussakis
15:30 – 16:00 Coffee Break
16:00 – 16:25 Benchmarking Link Discovery Systems for Geo-Spatial Data, Tzanina Saveta, Giorgos Flouris, Irini Fundulaki, Axel-Cyrille Ngonga Ngomo
16:25 – 16:50 Towards a Use Case Driven Evaluation of Database Systems for RDF Data Storage – A Case Study for Statistical Data, Matthäus Zloch, Daniel Hienert, Stefan Conrad
16:50 – 17:00 Closing Remarks

For possible, last minute changes to the program please also check the ISWC 2017 program (https://iswc2017.semanticweb.org/program/)

Organising Committee

  • Axel-Cyrille Ngonga Ngomo, Institute for Applied Informatics, Leipzig, Germany
  • Anastasia Krithara, National Center for Scienti c Research “Demokritos”, Athens, Greece
  • Irini Fundulaki, ICS-FORTH, Heraklion, Crete, Greece

Program Committee

  • Milos Jovanovik, OpenLink Software, United Kingdom
  • Pavlos Fafalios, University of Hannover. Germany
  • Kostas Stefanidis, University of Tampere, Finland
  • Muhammad Saleem, AKSW, University of Leipzig, Germany
  • Manolis Terrovitis, IMIS, RC Athena, Greece
  • Ricardo Usbeck, University of Leipzig, Germany
  • George Papastefanatos, IMIS RC Athena, Greece
  • Stasinos Kostantopoulos, NCSR Demokritos, Greece

The proceedings of the workshop can be found here: http://ceur-ws.org/Vol-1932

Get more details check the ISWC 2017 registration information page: https://iswc2017.semanticweb.org/attending/registration/

Details

Start:
October 21
End:
October 25