SemStats 2015 - Third International Workshop on Semantic Statistics (SemStats 2015)
Date2015-10-11 - 2015-10-12
Deadline2015-07-15
VenueBethlehem, Pennsylvania, USA - United States
Keywords
Topics/Call fo Papers
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. It follows two very successful edition of the Semantic Statistics workshop held at ISWC 2013 (SemStats 2013) and at ISWC 2014 (SemStats 2014). The statistical community has recently shown an 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 visualisation techniques and tools, this question is relatively unexplored, but the subject will obviously grow in importance in the near future.
Other CFPs
- 6th Workshop on Ontology and Semantic Web Patterns (WOP2015)
- 5th Workshop on Linked Science 2015 ? Best Practices and the Road Ahead
- 6th International Workshop on Consuming Linked Data (COLD)
- 11th International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS2015)
- First Joint International Workshop on Semantic Sensor Networks and Terra Cognita
Last modified: 2015-05-02 17:05:02