Prilagodba aplikacije pisane u jeziku Java temeljene na obrascu model-izgled-kontroler za semantički web

doctoral thesis

• Title (english): Adjustment of Java web applications based on Model-View-Controller pattern for Semantic Web
• Author: Lidia Rovan
• Mentor: Mirta Baranović (mentor)
• Committee member: Damir Kalpić (predsjednik povjerenstva)
• Committee member: Mladen Varga (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2010-03-25, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Universal decimal classification (UDC): 004 - Computer science and technology. Computing. Data processing

Abstract

Semantički web je zamišljen kao rezultat evolucije sadašnjeg weba. Danas je web izrazito dinamičko okruženje i platforma za sofisticirane aplikacije visoke razine složenosti. U disertaciji je predložen mogući način prilagodbe postojećih Java web
aplikacija temeljenih na obrascu model-izgled-kontroler semantičkom webu. Ideje i načela na kojima se temelji web i semantički web sasvim su različita, pa samim time i realizacije u takvim okruženjima imaju međusobna odstupanja. U disertaciji je dan
pregled područja weba, razvoja Java web aplikacija, te područja semantičkog weba. Također, obavljena je opsežna analiza semantičkih web aplikacija na temelju koje su definirane osnovne funkcionalnosti i kategorije semantičkih web aplikacija. Za
svaku prepoznatu kategoriju semantičkih web aplikacija predložena je arhitektura. Elementi arhitekture odabrani su u skladu s provedenom analizom tehnologija semantičkog weba. Uočene su osnovne sličnosti, odnosno razlike u razvojnim
procesima web aplikacija i semantičkih web aplikacija. Koristeći rezultate provedene analize i obavljenog pregleda područja predložen je proces prilagodbe postojećih web aplikacija semantičkom webu. Proces prilagodbe popraćen je metodologijom
koja propisuje slijed aktivnosti koje se moraju obaviti u svrhu provođenja prilagodbe. Za predloženi proces prilagodbe dana je ocjena njegove primjenjivosti na temelju verifikacije na realnim primjerima.

Abstract (english)

Today, the Web is a dynamic environment and a platform for sophisticated high-level business applications. The Semantic Web is an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Although Semantic Web offers more to the users, evolution of the existing web applications into the semantically enriched ones, still remains an under researched topic. The research presented in this dissertation has proposed a methodology for adapting existing Java web applications based on the model-view-controller pattern to the Semantic Web. Ideas and principles underlying the Semantic Web and the Web as we know it today are rather different. Therefore the realization in such environments have mutual differences. The dissertation gives an overview of the both fields, specifically concentrating on the Java Web applications. Based on thorough analysis of the Semantic Web applications, basic functionality and dissimilar categories pertaining to Semantic Web applications were defined. Separate architecture has been proposed for each separate category. Afterwards, basic similarities and dissimilarities between application development processes have been observed. Using the results obtained from aforementioned analysis, a process for adapting existing Web applications to the Semantic Web has been proposed. Finally, an applicability estimate of proposed methodology is given based on verification on real cases.

• Keywords: semantički web; web aplikacija; MVC; Java; prilagodba; metodologija; arhitektura; upravljanje znanjem; integracija; označavanje sadržaja
• Keywords (english): semantic web; web application; MVC; Java; adapting; methodology; architecture; knowledge management; integration; tagging
• Language: croatian
• URN:NBN: urn:nbn:hr:168:800907
• Promotion: 2010
• Study programme: Title: Computer Science; Study programme type: university; Study level: postgraduate; Academic / professional title: Doktor znanosti (Doktor znanosti)
• Type of resource: Text
• Extent: 272 str. : graf. prikazi
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-03-18 13:35:05