Topics of interest | Submission guidelines | Important dates | Organizers and Chairs | Program Committee

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

Submission guidelines

  • Long papers: max. 12 pages
  • Work-in-progress reports: max. 6 pages
  • Demo papers: max. 4 pages

Papers must be submitted in PDF format according to Springer LNBIP template

Submission system is available at EasyChair.

Papers approved for presentation at QOD 2018 will be published in BIS 2018 workshop post-conference proceedings, as a volume in Springer’s Lecture Notes in Business Information Processing (LNBIP) series. BIS 2018 Workshops proceedings will be distributed to workshop participants by regular mail.

Workshop papers will be made available in electronic form by the BIS organizers to all workshop participants (and only to them) directly before the conference.

Important dates

  • May 27, 2018 – submission deadline for papers
  • June 18, 2018 – notification of acceptance/rejection
  • June 25, 2018 – submission of final papers (for presentation)
  • July 18 or 19 or 20, 2018 – the workshop

Organizers and Chairs



  • Dr. Amrapali Zaveri (Maastricht University, The Netherlands) is a postdoctoral researcher at Maastricht University in the newly established Institute of Data Science since January 2017. Previously, she was a postdoctoral researcher at Stanford University since September 2015. She completed her PhD from University of Leipzig, Germany in 2015. Her research interests include data quality, knowledge interlinking and fusion, biomedical and health care research. She conducted a comprehensive survey of the existing data quality assessment methodologies currently available to evaluate the quality of linked datasets. She has also been working on crowdsourcing methodologies for the assessment and improvement of Linked Data Quality as well as biomedical metadata quality.
  • Dr. Krzysztof Węcel (Poznań University of Economics and Business, Poland) is a senior lecturer at Department of Information Systems. His main research interest is the intersection of semantic web technologies, open data, and machine learning. He has been involved in many EC-funded projects including a flagship project on linking open data – LOD2. He was a visiting scholar in leading research institutions in Europe, e.g. Leopold-Franzens University of Innsbruck and University of Karlsruhe, as well as emerging ones in Asia – Asian Intitute of Technology and Indian Institute of Technology.
  • Włodzimierz Lewoniewski (Poznan University of Economics and Business, Poland) is a PhD student in the Department of Information Systems. Author of more than 10 publications related to quality assessment of information in multilingual open knowledge bases (such as Wikipedia, DBpedia and others). One of them got Best Paper Award in international conference. He develops various online web-services that allows automatically assess quality of information in Wikipedia.

Program Committee

To be announced…