QOD 2018 - 1st Workshop on Quality of Open Data (QOD 2018)
Topics/Call fo Papers
The goal of this workshop is to bring together different communities working on quality of information in Wikipedia, DBpedia, Wikidata and other open knowledge bases. The workshop calls for sharing research experience and knowledge related to quality assessment in open data. We invite papers that provide methodologies and techniques, which can help to verify and enrich various community based services in different languages.
Topics of interest
Quality management in open knowledge bases.
Large-scale information extraction
Multilingual entity recognition tasks
Enriching open databases with NLP methods
Quality assessment of Wikipedia articles
Improving quality of DBpedia, Wikidata and other semantic databases
Enrichment of multilingual open knowledge bases
Analysis of references and citation data
Topics of interest
Quality management in open knowledge bases.
Large-scale information extraction
Multilingual entity recognition tasks
Enriching open databases with NLP methods
Quality assessment of Wikipedia articles
Improving quality of DBpedia, Wikidata and other semantic databases
Enrichment of multilingual open knowledge bases
Analysis of references and citation data
Other CFPs
- Scientific Challenges & Business Opportunities in Water Management (SciBOWater)
- 3rd Workshop on Big Data and Business Analytics Ecosystems (iDEATE)
- 9th Workshop on Business and IT Alignment (BITA 2018)
- 10th Workshop on Applications of Knowledge-Based Technologies in Business (AKTB 2018)
- 21st International Conference on Business Information Systems
Last modified: 2018-05-02 21:32:18