The scientific article of our Department’s employees entitled “Sentence Embeddings and Semantic Entity Extraction for Identification of Topics of Short Fact-Checked Claims” has been published in open access. The paper describes an approach to assigning topics to claims verified by fact-checking agencies.
Tag: DBpedia
Automatic quality assessment of articles in multilingual Wikipedia and identification of its important information sources on various topics
An open scientific seminar of the Institute of Informatics and Quantitative Economics on automatic quality assessment of articles in multilingual Wikipedia and identification of important sources of its information on various topics was held at the Poznań University of Economics and Business. During the seminar, Dr. Włodzimierz Lewoniewski discussed the methods and tools used to analyze and evaluate content in a popular multilingual encyclopedia and ways of identifying and assessing … Read More
ACADEMIA: Information Quality on Wikipedia
The latest issue of the ACADEMIA magazine published an article on the automation of the content quality assessment process in multilingual Wikipedia. The work briefly presents the advantages and disadvantages of the open nature of this encyclopedia, differences in the quality assessment systems and distinctions for Wikipedia articles between language versions, and issues related to the assessment of the reliability of information sources.
Scientific sources of information in Wikipedia articles across various topics and languages
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
Colloquium at Tufts University
The beginning of the academic year in the United States coincided with a speech by Dr. Włodzimierz Lewoniewski at Tufts University. The colloquium discussed issues related to the use of artificial intelligence and large open data sets to automate the process of assessing the quality of Wikipedia articles and its information sources in various language versions.
Speech at the KES 2023 conference
During the international conference KES 2023 (27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems), research results on the use of scientific information sources in multilingual Wikipedia on various topics were presented. This year’s edition of the KES conference was organized in Athens (Greece) on September 6-8 in a hybrid mode.
Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information
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.
Identifying Reliable Sources of Information about Companies in Multilingual Wikipedia
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.
Speech at the FedCSIS 2022 conference
During the FedCSIS 2022 conference (17th Conference on Computer Science and Intelligence Systems), the results of scientific research of our team on the reliability assessment of the information sources about companies in different languages of Wikipedia were presented. This year’s edition of the FedCSIS conference was organized in Sofia (Bulgaria) in a hybrid mode.