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Cilj diplomskega dela je izdelati hitro, varno in uporabniku prijazno spletno trgovino ter aplikacijo za upravljanje vsebin s sodobnimi tehnologijami, ki se uporabljajo pri razvoju enostranskih spletnih aplikacij. Aplikaciji pridobivata in posodabljata podatke preko skupnega aplikacijskega programskega vmesnika - API, izdelanega s pomočjo tehnologije Node.js in Express.js ter nerelacijske podatkovne baze MongoDB. Aplikacija za upravljanje vsebin je razvita s pomočjo odprtokodne knjižnice React.js in je namenjena upravitelju spletne trgovine, ki ima možnost upravljanja s podatki v spletni trgovini. Spletna trgovina je razvita z ogrodjem Next.js in kupcem omogoča hiter ter varen nakup izdelkov preko spleta, z možnostjo plačila s kreditno kartico. Izdelane aplikacije zadostujejo vsem zahtevam, ki sem si jih zadal na začetku razvoja in imajo še veliko možnosti za izboljšave. The goal of the thesis is to create a fast, secure, and user-friendly webstore and a content management application using modern technologies commonly used in the development of single-page web applications. The applications obtain and update data through a common application programming interface (API) created using Node.js and Express.js, as well as a non-relational MongoDB database. The content management application is developed using the open-source React.js library and is intended for the webstore manager, who has the ability to manage the website's data. The webstore is developed using the Next.js framework and allows customers to quickly and safely purchase products online, including the option to pay by credit card. The developed applications meet all the requirements I set at the beginning of the development and have many opportunities for improvements.

When deciding on research subjects or analyzing technological trends, researchers should gather and evaluate information from thousands of papers, patents, and technical reports. Information extraction methods from books may assist in speeding up the process. Furthermore, appropriate searching algorithms for the retrieved information are required. While studies into information extraction have been widespread, research into searching and browsing techniques for the retrieved information has not been as appealing. The available published data is enormous; therefore, choosing the appropriate articles, knowledge, and relevant literature related to your field of study is an art. This work proposes an intelligent searching system that includes multiple analytical tools, alternative resources, and paper credibility. We anticipate that researchers will uncover and generate novel research outputs using the suggested searching system.