Important sources of information in different topics and language versions of Wikipedia

The scientific paper on automatic identification of important information sources on a specific topic in the multilingual Wikipedia based on analysis of more than 230 million references has been published on the Elsevier website. The study presents various models for automatic evaluation of information sources, which take into account the frequency of the information sources, the popularity of the content from readers and Wikipedia editors point of view.

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 KES 2022 conference

During the international conference KES 2022 (26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems) the results of scientific research on the identification of important information sources in various topics and language versions of Wikipedia were presented. This year’s edition of the KES conference was organized in Verona (Italy) in a hybrid mode.

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