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[CFP] SemStats 2017 Call for Contributions

From: Sarven Capadisli <info@csarven.ca>
Date: Wed, 24 May 2017 11:25:18 +0200
To: W3C Semantic Web IG <semantic-web@w3.org>
Message-ID: <824f0ef2-25c8-87a9-ae7f-962ff37e7d7a@csarven.ca>
# SemStats 2017 Call for Contributions


## Document ID
http://semstats.org/2017/call-for-contributions


## Keywords
ISWC2017, SemStats, Linked Data, SDMX, Statistics, Statistical database,
Data integration, RDF Data Cube


## Event
5th International Workshop on Semantic Statistics co-located with 16th
International Semantic Web Conference (ISWC 2017)


## Location
Vienna, Austria


## Date
October 21, 2017 or October 22, 2017


## Important dates
* Contributions deadline: July 21, 2017, 23:59PM Hawaii time
* Notifications to authors: August 24, 2017, 23:59PM Hawaii time


## Workshop Summary
The goal of this workshop is to explore and strengthen the relationship
between the Semantic Web and statistical communities, to provide better
access to the data held by statistical offices. It will focus on ways in
which statisticians can use Semantic Web technologies and standards in
order to formalize, publish, document and link their data and metadata,
and also on how statistical methods can be applied on linked data. It is
the fifth workshop in a series that started at the International
Semantic Web Conference in 2013 (SemStats 2013) and run since every year
at ISWC.


## Topics
The workshop will address topics related to statistics and linked data.
This includes but is not limited to:

### How to publish linked statistics?
* What are the relevant vocabularies for the publication of statistical
data?
* What are the relevant vocabularies for the publication of statistical
metadata (code lists and classifications, descriptive metadata,
provenance and quality information, etc.)?
* What are the existing tools? Can the usual statistical software
packages (e.g. R, SAS, Stata) do the job?
* How do we include linked data production and publication in the data
lifecycle?
* How do we establish, document and share best practices?

### How to use linked data for statistics?
* Where and how can we find statistics data: data catalogues, dataset
descriptions, data discovery?
* How do we assess data quality (collection methodology, traceability,
etc.)?
* How can we perform data reconciliation, ontology matching and instance
matching with statistical data?
* How can we apply statistical processes on linked data: data analysis,
descriptive statistics, estimation, correction?
* How to intuitively represent statistical linked data: visual
analytics, results of data mining?

### How to use statistical methods on IoT data streams?
* How can statistical processes be applied to Sensor streaming data at
runtime and how can the results of these processes be stored and accessed?
* How can statistical and machine learning algorithms be used on time
series data produced by IoT devices


## Contributions
The intended outcome of the workshop is to explore and strengthen the
relations between the semantic web and statistical communities.
Accordingly, one visible result will be a persistent website that
summarizes what the workshop contributed to the understanding of these
questions, thereby supplementing and integrating the traditional
collection of articles that constitute the proceedings (which will be
published in CEUR-WS.org, a recognized ISSN publication series, to
ensure wide accessibility). As in the previous year,
http://semstats.org/ will be used for this purpose.

The workshop will welcome the following types of contributions:
* Full and short articles (up to 12 and 6 "pages")
* Challenge articles (up to 12 "pages")
* Demo articles (up to 6 "pages")


## Awards
This year, SemStats will award prizes, thanks to the generous sponsoring
from Oracle and CASD:
* The best full or short article will win 1000 EUR
* The best challenge article will win 500 EUR
* The best application or demo article will win 500 USD


##Organizing Committee
Sarven Capadisli, University of Bonn, Germany
Franck Cotton, INSEE, France
Armin Haller, ANU, Australia
Evangelos Kalampokis, University of Macedonia, Greece
Raphaël Troncy, EURECOM, France


## Program Committee
Stefano Abruzzini, EC - DG Connect
Ghislain Auguste Atemezing, Mondeca
Chris Beer, Australian Bureau of Statistics
Oscar Corcho, Universidad Politécnica de Madrid
Cinzia Daraio, University of Rome "La Sapienza"
Jay Devlin, Fidelity
Miguel Expósito Martín, Instituto Cántabro de Estadística
Dan Gillman, US Bureau of Labor Statistics
Christophe Guéret, Accenture
Peter Haase, metaphacts
Paul Hermans, ProXML
Areti Karamanou, University of Macedonia
Laurent Lefort, W3C Australia
Nikolaos Loutas, PWC
Andrei Melis, Eau de Web
Albert Meroño-Peñuela, VU University Amsterdam
Jindřich Mynarz, University of Economics, Prague
Marco Pellegrino, Eurostat
Dave Reynolds, Epimorphics Ltd
Bill Roberts, Swirrl IT Limited
Hideaki Takeda, National Institute of Informatics
Wendy Thomas, Minnesota Population Center
Joachim Wackerow, GESIS - Leibniz Institute for the Social Sciences


Please visit http://semstats.org/2017/call-for-contributions for more
information. If you are interested in making a contribution but would
like more preliminary information, please contact
semstats2017@easychair.org.

-Sarven
http://csarven.ca/#i
Received on Wednesday, 24 May 2017 09:27:01 UTC

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