QOD 2021 – the 4th international workshop on Quality of Open Data

The fourth edition of the scientific workshop QOD (Quality of Open Data) was conducted on June 14, 2021 in conjunction with the BIS 2021 conference. The event was hosted by TIB – Leibniz Information Centre for Science and Technology and University Library in Hanover, Germany.

Quality assessment of Wikipedia and its sources

On December 16, 2020, during the Wikimedia Research Showcase, the results of scientific works conducted by members of the Department of Information Systems in the area of information quality assessment in multilingual Wikipedia were presented. In particular, the models of automatic evaluation of the reliability of sources in this popular encyclopedia were discussed.

PUEB Entrepreneurship Days

On December 2-3, 2020 as part of the 2nd edition of the PUEB Entrepreneurship Days, members of the Department of Information Systems, MSc. Piotr Kałużny and Dr. Włodzimierz Lewoniewski, gave lectures on contemporary challenges of innovative economy, the possibility of using open data and Data Science in the development of entrepreneurship.

Awards in the 15th PUEB Foundation Competition for the Best Doctoral Theses

In the jubilee 15th edition of the PUE Foundation competition for the best doctoral dissertations defended at the Poznań University of Economics and Business in the 2018/2019 academic year, the members of the Department of Information Systems took the first two places. Each work was assessed according to the following criteria: the scientific value of the dissertation, the originality of the research issues undertaken in the dissertation, the importance of … Read More

QOD 2020 – the 3rd international workshop on Quality of Open Data

The goal of the QOD workshop is to bring together different communities working on quality in Wikipedia, DBpedia, Wikidata, OpenStreetMap, Wikimapia and other open knowledge bases and data sources. The workshop calls for sharing research experience and knowledge related to quality assessment in open data. The third edition of the QOD workshop took place on 9 June 2020 as part of the BIS 2020 conference. The organisers of the QOD … Read More

Modeling Popularity and Reliability of Sources in Multilingual Wikipedia

One of the most important factors impacting quality of content in Wikipedia is presence of reliable sources. By following references, readers can verify facts or find more details about described topic. A Wikipedia article can be edited independently in any of over 300 languages, even by anonymous users, therefore information about the same topic may be inconsistent. This also applies to use of references in different language versions of a … Read More

SRG Data Science: organizational meeting 2019/2020

On 22 October 2019 at the Poznan University of Economics and Business an organizational meeting of the of the Student Research Group (SRG) “Data Science” took place. During the meeting, the key directions of development of the student research group in the academic year 2019/2020 were discussed, as well as the basic issues related to the area of interest of SRG Data Science. Students and members of the board of … Read More

Researchers’ Night 2019

During the Researchers’ Night, which took place on 27 September 2019, the employees of the Department of Information Systems conducted a workshops entitled “Wikipedia: how to find the necessary information with the highest quality?” (Dr. Włodzimierz Lewoniewski) and “How does artificial intelligence work?” (Piotr Kałużny, MSc.). The Researchers’ Night is an event taking place all over Europe. This year in Poznań, seven scientific institutions took part in the event, including … Read More

Speech at the SEMANTiCS 2019 conference

The international conference SEMANTiCS 2019 took place in Karlsruhe (Germany) from 9th to 13th September and was attended by more than 400 participants. During the conference Dr. Włodzimierz Lewoniewski presented the research “Reference Extraction from Wikipedia Infoboxes“. The SEMANTiCS conference is the leading European conference on semantic technologies and artificial intelligence. Researchers, industry experts and business leaders can develop a deep understanding of trends and application scenarios in machine learning, … Read More