04076ntm a22005417i 4500 000543293 CZ-PrVSE 20180602113923.0 m d cr n|||||||||| 180602s2018 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Vataščinová, Jana ISIS:107162 dis Mapování lokální biomedicínské ontologie na standardní biomedicínské ontologie eng Matching of Local Biomedical Ontology to Standard Biomedical Ontologies / Jana Vataščinová 2018 ?? stran : digital, PDF soubor Vedoucí práce: Ondřej Zamazal Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2018 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2018 In many different areas, companies, projects, etc., there are many different ontologies that are being used even if they are describing the same or parts of the same domain. In order to benefit from larger public projects that are based on standard ontologies, ontology matching may be the answer for companies that are using their own local ontology.The goal of this thesis is to propose and realize a method of matching local biomedical ontology from MSD to standard biomedical ontologies that are being used in the PubChem project, in order to support data analysis in MSD. The first partial goal is to get acquainted with the theoretical background of the ontology matching. The second partial goal is to get acquainted with the PubChem repository for information on chemical substances. The third partial goal is to practically realize matching of MSD local biomedical ontology to standard biomedical ontologies.To achieve the goal, the matching tools LogMap, LogMapBio, AML, XMap, YAM-BIO, FCA-Map, PhenoMP, YAM++ and Silk were used, and the matching was carried out on the ontology level and on the instance level (Silk). On the ontology level, FCA-Map and PhenoMP did not return any results, and on the instance level, no results were achieved either.The results are achieved only from the matching on the ontology level. However, if the proposed method of matching of a local biomedical ontology to standard biomedical ontologies is to be followed in another matching process, the matching on the instance level can provide results in the different scenario.The contribution of the thesis is not only in the discovered alignments, but mainly in the proposed method for the matching process as the SALAR ontology might be replaced in the future and alignments for the new ontology will be needed. The thesis also shows how successful the ontology matching tools were in the given task. This can be an indicator for possible future matching processes. Způsob přístupu: Internet kognitivní informatika [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas mapping biomedical ontology ontology matching recall alignment precision Zamazal, Ondřej ISIS:7282 ths Vacura, Miroslav mzk2006343245 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/62586/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/62586 Hlavní práce https://insis.vse.cz/zp/62586/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/62586/posudek/oponent/56220 Oponentura https://insis.vse.cz/zp/62586/priloha/16674 Přiloha k práci https://insis.vse.cz/zp/62586/podrobnosti dc:identifier NEPOSILAT VSKP vse62586 180601 62586