Skalabilni sustav za detekciju plagijata smješten u računalnom oblaku

master's thesis

• Title (english): Scalable Cloud-based System for Plagiarism Detection
• Author: Ivan-Dominik Ljubičić
• Mentor: Boris Milašinović (mentor)
• Committee member: Boris Milašinović (predsjednik povjerenstva)
• Committee member: Damir Kalpić (član povjerenstva)
• Committee member: Mirjana Domazet-Lošo (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2017-07-11, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U okviru ovog rada analizirana je tema softverski potpomognute detekcije plagijata. Opisane su vrste plagiranja, ali i metode te algoritmi detekcije plagijata između tekstualnih dokumenata te između izvornih programskih kodova. Cilj rada bio je osmisliti, modelirati i razviti skalabilni sustav za detekciju plagijata smješten u računalnom oblaku. Sustav je razvijen kao servis računalnog oblaka za Microsoft Azure platformu. Razvijeni sustav korisnicima omogućuje prijenos više vrsta dokumenata u sustav te pokretanje različitih algoritama ovisno o vrsti dokumenta. Nakon izvršenja zahtjeva, korisniku je omogućen uvid u statistike i rezultate detekcije plagijata.

Abstract (english)

This paper covers the topic of software-assisted plagiarism detection. Types of plagiarism have been described, as well as methods and plagiarism detection algorithms between text documents or source codes. The aim of the paper was to design, model and develop a scalable Cloud-based system for plagiarism detection. The system was developed as a Cloud service for the Microsoft Azure platform. The developed system allows users to upload multiple types of documents and to launch different plagiarism detection algorithms depending on the type of document. After the request is successfully executed, the user is provided with insight into statistics and plagiarism detection results.

• Keywords: algoritmi detekcije plagijata; sustav za detekciju plagijata; skalabilnost; računalni oblak; Microsoft Azure
• Keywords (english): Plagiarism detection algorithms; system for plagiarism detection; scalability; Cloud; Microsoft Azure
• Language: croatian
• URN:NBN: urn:nbn:hr:168:945651
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 22:26:20