Interesting: DIS website history
Department of Information Systems
Poznań University of Economics and Business
Students of our specialization in Informatics and Econometrics – Mikołaj Tym and Jakub Żerebecki (2nd degree, 1st year, speciality: Information Systems for Business and Administration) – took part in the competition “The Web Intelligence – Deduplication Challenge” organized by Eurostat between December 2022 and April 2023 year. The task performed concerned the field of Data Science and natural language processing.
The article by employees of our Department was published in the journal “Networks and Spatial Economics” by Springer. The work analyzes the impact of international crises, such as the COVID-19 pandemic and the war in Ukraine, on maritime traffic and their consequences for the global and local economy.
The results of scientific research of employees of our Department were published in the journal “Procedia Computer Science” by Elsevier on the ScienceDirect website. As part of the work, hundreds of millions of references in Wikipedia articles from various language versions were analyzed to identify scientific sources of information. Additionally, Wikipedia articles have been divided into various topics using information from Wikipedia projects and based on semantic knowledge bases – … Read More
The 10th International Scientific Conference “Knowledge and Information Technologies in Creating Entrepreneurship” and the 5th Congress of Business Informatics were held on October 5-6, 2023. During this event, representatives of our Department presented research results on assessing the quality of student essays written by ChatGPT. This year’s edition of the conference and congress was held in a hybrid mode (onsite in Olsztyn near Częstochowa and remotely). The organizers of these … Read More
During the Didactic Conference at the Poznań University of Economics and Business, employees of the Department of Information Systems presented research results on the possibilities and limitations of generating texts using tools based on generative artificial intelligence, analyzing both the advantages and potential threats. The research was conducted based on the analysis of texts generated by ChatGPT as part of student essays.
The scientific work of members of our Department was published in the Economics and Business Review journal. The article “Artificial intelligence – friend or foe in fake news campaigns” focuses on analyzing the impact of large language models (LLM) on the phenomenon of fake news. On the one hand decent text‐generation capabilities can be misused for mass fake news production. On the other, LLMs trained on huge volumes of text … Read More
The OpenFact project team took part in the CheckThat! organized as part of the international conference CLEF 2023 (Conference and Labs of the Evaluation Forum). The method proposed by our scientists took first place. This method detects English sentences that need to be reviewed because of potential misleading and therefore are worth fact-checking.
The scientific work of members of our Department was published in the monograph “Information Technology for Management: Approaches to Improving Business and Society” published by the Springer. The research concerns the automatic assessment of the quality of Wikipedia articles and the reliability of sources of information about companies in different languages.
Poznań University of Economics and Business Press has published a book “Data analysis in the maritime domain“. The book summarizes many years’ research of the DIS team in the maritime domain, which were realized within the completed projects (SIMMO I and HANSA) as well as individual research. Authors of the book: Milena Stróżyna, Witold Abramowicz, Krzysztof Węcel, Jacek Małyszko and Dominik Filipiak.
The IEEE published a paper on the automatic identification of reliable sources of information about companies in the multilingual Wikipedia. The information source assessment models presented in the publication can help Internet users find valuable sources of information about companies using open data from Wikipedia, DBpedia and Wikidata.