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SWJ: Call for Papers: Special issue on Benchmarking Linked Data

From: Irini Fundulaki <fundul@ics.forth.gr>
Date: Mon, 19 Dec 2016 23:45:40 +0200
To: semantic-web@w3.org
Message-ID: <76bcf6fb-24e2-06af-869d-709e23156bbf@ics.forth.gr>
[Apologies for Cross postings]

Call for Papers: Special issue on Benchmarking Linked Data

The provision of high-quality benchmarks and benchmarking results
yields the potential of pushing the development of better approaches
and solutions. This holds in particular in the Semantic Web and Linked
Data domain.

Big Linked Data is gradually getting adopted in 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. Hence, ever more complex requirements emerge,
pertaining to the efficiency and effectiveness of solutions driven by
Linked Data.

 From a practical perspective, the cost and effort required for
introducing Big Linked Data technology in an enterprise value chain is
significant. It is thus of utmost importance to reduce the costs and
hurdles required to introduce Big Linked Data processing. A key step
towards abolishing the barriers to the adoption and deployment of such
data is to provide open benchmarking reports that allow users to
assess the fitness of existing solutions for their purposes.

The primary goal of the current special issue is to compile the newest
results pertaining to the evaluation and benchmarking of all steps of
the Linked Data lifecycle so as to provide a status quo of (1) the
means to measure the performance of existing Linked-Data solutions and
(2) the performance of current Linked-Data-driven solutions.

Topics of interest

For this special issue, we welcome articles presenting (1) novel
benchmarks (including benchmarking results) as well as (2) novel
insights pertaining to evaluating any of the steps of the the Linked
Data lifecycle. More specifically, we are interested in articles
presenting benchmarks across the entire Linked Data life cycle,
benchmarks that rely on large datasets and insights obtained from
benchmarking Linked Data management processes.

Topics of interest include but are not limited to:
* Linked Data benchmarks
* Analysis of existing benchmarks and benchmarking results
* Validation of previous experimental results
* Linked Data benchmark evaluation
* Benchmarking frameworks
* Benchmarking tools and methodologies for the Linked Data lifecycle 
such as: Extraction, generation and acquisition (Information Extraction, 
Knowledge Extraction, CSV2RDF, R2RML, etc.)
* Storage and querying (triple stores, NoSQL solutions, graph databases, 
* Link Discovery
* Classification and Enrichment (machine Learning, clustering, forward 
and backward chaining, etc.) versioning and curation
* Knowledge base repair
* Fact checking, data fairness, data diversity
* Search, browsing, question answering
* Linked Data Visualization
* Linked-Data-driven applications
* Novel application- and domain-specific benchmarks (e.g., geo-spatial, 
* New evaluation measures (Key Performance Indicators - KPIs) for 
* Comparisons of KPIs
* New theoretical frameworks for benchmarks

Submission Instructions

Submission deadline: January 31, 2017 23:59 PM Hawaii-Time
Notification of acceptance: May 15, 2017
Camera ready Paper Deadline: September 15, 2017

Submissions shall be made through the Semantic Web journal website at
http://www.semantic-web-journal.net. Prospective authors must take
notice of the submission guidelines posted at
http://www.semantic-web-journal.net/authors. Note that you need to
request an account on the website for submitting a paper. Please
indicate in the cover letter that it is for the Special Issue on
Benchmarking Linked data.

Submissions are possible in the full research papers category. Papers
describing application reports, tools and systems are also welcome,
provided that the main contribution still remains an advance of the
state of the art with respect to the research perspective.

All manuscripts will be reviewed based on the SWJ open and transparent
review policy and will be made available online during the review

Guest editors

* Axel-Cyrille Ngonga Ngomo, Institute for Applied Informatics, Leipzig, 
* Irini Fundulaki, ICS-FORTH, Heraklion, Greece
* Anastasia Krithara, National Center for Scientific Research 
“Demokritos”, Athens, Greece

Guest Editorial Board

* Giorgos Flouris, ICS-FORTH, Greece
* Olaf Hartig, Hasso Plattner Institute, Germany
* Anastasios Kementsietsidis, Google Research, USA
* Manolis Koubarakis, National and Kapodistrian University, Athens, Greece
* Tom de Nies, iMinds, Belgium
* Larri Pey, UPC & Sparsity-Technologies, Spain
* Muhammad Saleem, University of Leipzig, Germany
* Juan Sequeda, CAPSENTA, USA
* Mirko Spasic, OpenLink, United Kingdom
* Milos Jovanovik, OpenLink, United Kingdom
* Kostas Stefanidis, University of Tampere, Finland
* Manolis Terrovitis, IMIS – Athena, Greece
* Ruben Verborgh, iMinds, Belgium
* Ricardo Usbeck, University of Leipzig, Germany
* Julia Stoyanovich, Drexel University
Received on Monday, 19 December 2016 21:46:34 UTC

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