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master's thesis
Inteligenti web sustav za praćenje vježbanja
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:179:739637
Machiedo, Đani
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Machiedo, Đ. (2022). Inteligenti web sustav za praćenje vježbanja (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:739637

Machiedo, Đani. "Inteligenti web sustav za praćenje vježbanja." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:739637

Machiedo, Đani. "Inteligenti web sustav za praćenje vježbanja." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:739637

Machiedo, Đ. (2022). 'Inteligenti web sustav za praćenje vježbanja', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 02 January 2025, https://urn.nsk.hr/urn:nbn:hr:179:739637

Machiedo Đ. Inteligenti web sustav za praćenje vježbanja [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2025 January 02] Available at: https://urn.nsk.hr/urn:nbn:hr:179:739637

Đ. Machiedo, "Inteligenti web sustav za praćenje vježbanja", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:739637

Metadata
TitleInteligenti web sustav za praćenje vježbanja
Title (english)An intelligent web system for monitoring exercise
AuthorĐani Machiedo
MentorLjiljana Šerić https://orcid.org/0000-0002-6390-1899 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Zbog česte potrebe za dijeljenjem informacija među korisnicima i aplikacijama potrebno je da osim samih podataka baze znanja sadrže i metapodatke koji opisuju semantiku dijeljenih informacija. Grafovi znanja i ontologije svakim danom sve više dobivaju na važnosti kako količina informacija i korisnika koji pretražuju te informacije na postaje veća. U ovom radu prikazano je kako se semantičke tehnologije mogu iskoristiti kao prednost u dizajniranju sustava opće namjene gdje god je potreban i koristan deskriptivan opis podataka i međusobna povezanost istih. Korištenjem tehnologija otvorenog koda dizajnirana je i implementirana web aplikacija za praćenje treninga, koja osim prikaza jednostavne statistike ima mogućnosti semantičkog zaključivanja o intenzitetu i fokusu odrađenih treninga. Kao okvir za izgradnju ontologije znanja o fizičkim vježbama korišten je alat Protégé pomoću kojeg je u interaktivnom sučelju zapisano konceptualno znanje o vježbama. Skup tehnologija otvorenog koda omogućio je razvoj web aplikacije koja korisniku kroz web sučelje nudi pohranu informacija o dorađenim treninzima i mogućnost semantičkog zaključivanja koje nadmašuje običnu statistiku.
Abstract (english)
Knowledge graphs and ontologies are gaining more and more importance every day as the amount of information and users who search for that information become larger. This paper shows how the mentioned technologies can be used as an advantage in designing general-purpose systems wherever a descriptive description of the data and their interconnection is needed and useful. In building an ontology of knowledge about physical exercises, the Stamdor Stamford's Protégé tool was used as a framework for building an ontology of knowledge about physical exercises, which purpose is editing ontologies and building intelligent systems and is currently the most widespread tool in the world for such purposes, and is constantly being developed and improved by its community according to the open-source principle. It is shown how a system designed in this way could be used for solving everyday problems like monitoring training and displaying intelligent reports about it through the lens of a web interface.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:739637
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-06-01 10:50:36