In order to select Wikipedia articles about companies, data from various semantic knowledge bases were used – DBpedia[1]<\/a><\/sup> and Wikidata[2]<\/a><\/sup>. <\/p>\n Wikidata<\/strong> – a semantic knowledge base that works on a similar basis to Wikipedia, with one significant difference – here we can put facts about objects using statements with properties and values (not sentences in natural language). Each Wikidata item contains a collection of different statements arranged in the form “Subject-Predicate-Object”. For example, information about the Pozna\u0144 University of Economics and Business<\/em> can be found on a separate page in Wikidata: <\/p>\n Wikidata is also considered to be the central data management platform for Wikipedia and most of its sister projects. This means that via Wikidata, we can find links to Wikipedia articles in different languages describing the same object. Thus, having a list of Wikidata items of a certain type (e.g. companies), we can also find corresponding Wikipedia article names.<\/p>\n Currently Wikidata has over 100 million items[4]<\/a><\/sup> (described subjects), while the number of Wikipedia articles in all languages is around 60 million[5]<\/a><\/sup>. Thus, not every Wikidata item needs to refer to a separate Wikipedia article on a specific topic.<\/p>\n DBpedia<\/strong> – is a semantic knowledge base that is automatically enriched using structured information from Wikipedia articles in different languages. The acquired knowledge on a given topic is available on a separate page. For example, such semantic data on the Pozna\u0144 University of Economics and Business<\/em> as a DBpedia resource extracted from the English Wikipedia[7]<\/a><\/sup> can be found at: <\/p>\n On such DBpedia pages, among the various properties, we can also find information about the type(s) of the described object. For our example, DBpedia indicates that the object belongs to such classes as: dbo:Organisation<\/a>, dbo:EducationalInstitution<\/a>, dbo:University<\/a> and others. Having the names of the classes we are interested in, we can find all objects of a certain type within DBpedia.<\/p>\n The scientific publication can be found on the IEEE<\/a> and the ACSIS<\/a> website.<\/p>\n![\"\"](\"https:\/\/kie.ue.poznan.pl\/en\/wp-content\/uploads\/2022\/10\/wikidata2022-300x225.jpg\")
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