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                <title>Call for Papers invitation for  Benchmarking Linked Data (BLINK) at ISWC 2017</title>

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                            <pre wrap=""><span style="font-size:14px"><span style="font-family:verdana,geneva,sans-serif"><strong>Workshop on Benchmarking Linked Data (BLINK) at ISWC 2017, Vienna, Austria </strong><a href="http://project-hobbit.us12.list-manage1.com/track/click?u=00d040a1bedee64c86d8911b0&id=32378b7054&e=cca9c21644" style="mso-line-height-rule: exactly;-ms-text-size-adjust: 100%;-webkit-text-size-adjust: 100%;color: #2BAADF;font-weight: normal;text-decoration: underline;">https://project-hobbit.eu/events/blink2017/</a>

<strong>CALL FOR PAPERS</strong>

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.

BLINK 2017 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.

<strong>Topics of Interest</strong>
 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 geospatial data management are welcome .

<strong>Topics of interest include but are not limited to:</strong>
 * 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
        * link discovery 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 <a href="http://project-hobbit.us12.list-manage.com/track/click?u=00d040a1bedee64c86d8911b0&id=151051380d&e=cca9c21644" style="mso-line-height-rule: exactly;-ms-text-size-adjust: 100%;-webkit-text-size-adjust: 100%;color: #2BAADF;font-weight: normal;text-decoration: underline;">http://project-hobbit.eu/</a>.

<strong>Paper Submissions:</strong>
 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 benchmarks.

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).

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 <a href="http://project-hobbit.us12.list-manage.com/track/click?u=00d040a1bedee64c86d8911b0&id=aee65935cc&e=cca9c21644" style="mso-line-height-rule: exactly;-ms-text-size-adjust: 100%;-webkit-text-size-adjust: 100%;color: #2BAADF;font-weight: normal;text-decoration: underline;">https://easychair.org/conferences/?conf=blink2017</a> no later than midnight Hawaii time July 21st, 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.

<strong>Important Dates:</strong>
<strong>July 21st, 2017:       ****Paper Submission Deadline *** </strong>
August 15th, 2017:     Notifications send to authors September 1sh 2017: Camera-ready papers for workshops
October 2017 :           Workshop

<strong>Organising Committee</strong>
 * Axel-Cyrille Ngonga Ngomo, Institute for Applied Informatics, Leipzig, Germany
* Anastasia Krithara, National Center for Scientific Research “Demokritos”, Athens, Greece
* Irini Fundulaki, ICS-FORTH, Heraklion, Crete, Greece

<strong>Program Committee</strong>
 * Stasinos Kostantopoulos, NCSR Demokritos, Greece
* Muhammad Saleem, AKSW, University of Leipzig, Germany
* Kostas Stefanidis, University of Tampere, Finland
* Giorgos Papastefanatos, IMIS, RC Athena, Greece
* Pavlos Fafalios, University of Hannover, Germany
* Milos Jovanovik, OpenLink, Bulgaria
* Manolis Terrovitis, IMIS, RC Athena, Greece
* Ricardo Usbeck, University of Leipzig, Germany</span></span>
</pre>

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