In order to improve World Wide Web, it is gradually developing its extension, the semantic web. Along with the development of the semantic web, knowledge ontologies are being developed that help to understand and connect information on the Internet, including the area of their mapping, which deals with finding alignments between individual elements of ontologies. The theoretical goals of the work were the introduction of the area of ontology and the semantic web and the introduction of the area ... show full abstractIn order to improve World Wide Web, it is gradually developing its extension, the semantic web. Along with the development of the semantic web, knowledge ontologies are being developed that help to understand and connect information on the Internet, including the area of their mapping, which deals with finding alignments between individual elements of ontologies. The theoretical goals of the work were the introduction of the area of ontology and the semantic web and the introduction of the area of ontology mapping. These goals are solved by a search of related literature. This work has three main practical goals. The first is to create a reference mapping between the DBpedia ontology and selected ontologies of the OntoFarm collection. The resulting reference mappings are necessary to meet the second main practical goal, which includes the testing matchers for mapping DBpedia ontology with ontologies of OntoFarm collection. The last practical goal was to evaluate and discuss the results of the success and efficiency of these matchers based on general metrics such as precision, recall and F1-measure. The main benefits of the work are the created reference mappings and the documentation of their creation process. Another benefit is the evaluation of matchers AML, DOME, LogMap a LogMapLt, which participated in the OAEI 2019. The chosen matchers were not intended for mapping the general ontologies with domain ontologies, which makes this experiment quite unique. The best overall evaluation is achieved by the LogMap matcher, which dominates over other matchers mainly due to its precision. |