- From: Evangelos Kalampokis <ekal@uom.edu.gr>
- Date: Tue, 24 Apr 2018 13:54:41 +0300
- To: semantic-web@w3.org
- Message-Id: <F77AFDCC-7699-45F7-B367-E2AA0D405F93@uom.edu.gr>
# SemStats 2018 Call for Contributions ## Document ID http://semstats.org/2018/call-for-contributions ## Keywords ISWC2018, SemStats, Linked Data, SDMX, Statistics, Statistical database, Data integration, RDF Data Cube ## Event 6th International Workshop on Semantic Statistics co-located with 17th International Semantic Web Conference (ISWC 2018) ## Location Monterey, CA, United States ## Date October 8, 2018 ## Important dates * Contribution deadline: June 1, 2018, 23:59PM Hawaii time * Notifications to authors: June 27, 2018, 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 sixth workshop in a series that started at the International Semantic Web Conference in 2013 (SemStats 2013) and run since every year at ISWC. The statistical community shows more and more interest in the Semantic Web. In particular, initiatives have been launched to develop semantic vocabularies representing statistical classifications and discovery metadata. Tools are also being created by statistical organizations to support the publication of dimensional data conforming to the Data Cube W3C Recommendation. But statisticians see challenges in the Semantic Web: how can data and concepts be linked in a statistically rigorous fashion? How can we avoid fuzzy semantics leading to wrong analyses? How can we preserve data confidentiality? The workshop will also cover the question of how to apply statistical methods or treatments to linked data, and how to develop new methods and tools for this purpose. Except for visualization techniques and tools, this question is relatively unexplored, but the subject will obviously grow in importance in the near future. ## 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 This workshop is aimed at an interdisciplinary audience of researchers and practitioners involved or interested in Statistics and the Semantic Web. All contributions must represent original and unpublished work that is not currently under review. Contributions will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. At least one author of each accepted contribution is expected to attend the workshop. Workshop participation is available to ISWC 2018 attendants at an additional cost. 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) * Application and Demo articles (up to 6 pages) ## Organizing Committee Sarven Capadisli, TIB Leibniz Information Centre for Science and Technology, 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 Oscar Corcho, Universidad Politécnica de Madrid Cinzia Daraio, University of Rome "La Sapienza" Miguel Expósito Martín, Instituto Cántabro de Estadística Peter Haase, metaphacts Paul Hermans, ProXML Areti Karamanou, University of Macedonia Laurent Lefort, W3C Australia Andrei Melis, Eau de Web Albert Meroño-Peñuela, VU University Amsterdam Jindřich Mynarz, University of Economics, Prague Bill Roberts, Swirrl IT Limited Hideaki Takeda, National Institute of Informatics Please visit http://semstats.org/2018/call-for-contributions for more information. If you are interested in sharing a contribution but would like more preliminary information, please contact semstats2018@easychair.org. --- Evangelos Kalampokis ekal@uom.edu.gr http://kalampok.is
Received on Tuesday, 24 April 2018 10:55:14 UTC