https://w3id.org/scholarlydata/inproceedings/iswc-2018-workshop_and_tutorial-308Property: http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttps://w3id.org/scholarlydata/ontology/conference-ontology.owl#InProceedingsProperty: http://www.w3.org/2000/01/rdf-schema#labelSixth International Workshop on Semantic Statistics Property: http://purl.org/dc/elements/1.1/creatorhttps://w3id.org/scholarlydata/person/armin-hallerhttps://w3id.org/scholarlydata/person/franck-cottonhttps://w3id.org/scholarlydata/person/sarven-capadislihttps://w3id.org/scholarlydata/person/evangelos-kalampokishttps://w3id.org/scholarlydata/person/raphael-troncyProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#abstractThe goal of this workshop is to explore and strengthen the relationship between the Semantic Web and statistical communities, to provide better access to data held by statistical offices. It will focus on ways in which statisticians can use Semantic Web technologies to formalize, publish, document and link their data and metadata, and also on how statistical methods can be applied on linked data.
The statistical community shows increasing 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 analysis? 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 grow in importance in the near future.Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasAuthorListhttps://w3id.org/scholarlydata/authorlist/iswc-2018-workshop_and_tutorial-308Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#isPartOfhttps://w3id.org/scholarlydata/conference/iswc/2018/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#keywordNational StatisticsData CubeGovernment Open DataSemantic StatisticsLinked Open DataStatistical ClassificationProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#titleSixth International Workshop on Semantic Statistics