Aplikacija za enotno iskanje literature v digitalnih knjižnicah

JENKO, MITJA (author), Rožanc, Igor (mentor)

Pri raziskovalnem delu je ključno učinkovito poiskati obstoječo literaturo na določenem področju. Digitalne knjižnice postajajo čedalje pomembnejše pri tem, ker so v primerjavi s klasičnimi knjižnicami veliko bolj priročne in nam tako prihranijo veliko časa pri iskanju gradiva. Naša naloga je izdelati aplikacijo, s katero lahko uporabnik uporabi enoten obrazec za iskanje (strokovne) literature v več digitalnih knjižnicah. Pri tem lahko uporabi različne filtre, najdeno literaturo pa lahko tudi prenese na svoj računalnik. V prvem delu naloge smo predstavili knjižnice, med katerimi aplikacija trenutno izvaja poizvedbe: ACM Digital Library, Science Direct, IEEE Xplore, CiteSeerX in Web of Science. Nato smo predstavili filtre, ki so smiselni za preiskovanje in se pojavljajo teh knjižnicah. To zasnovo smo uporabili za oblikovanje učinkovitega iskalnega obrazca v aplikaciji, ki smo jo poimenovali Query Assistant. Aplikacija vsebuje tudi možnost avtomatskega prenosa najdene literature. Sledila je kratka praktična analiza uporabe aplikacije in popis ugotovitev.

• Language: Slovenian
• Keywords: digitalna knjižnica, upravljanje referenc, iskanje strokovne literature, filtri iskanja, avtomatski prenos virov
• Work type: Bachelor thesis/paper
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2018
• PID: 20.500.12556/RUL-100192
• Publication date in RUL: 14.03.2018

Secondary language

• Language: English
• Title: Application for unified literature search in digital libraries

Abstract

Efficient search of the existing literature for specific research topic is crucial in scientific work. Digital libraries are important sources for this as they enable faster and more effective search than classical ones. The goal of our work is to develop a web application which uses a single search form to generate different search strings for several (different) digital libraries. Additionally, it uses several search filters and enables automatic download of found literature. First, the five studied libraries are presented: ACM Digital Library, Science Direct, IEEE Xplore, CiteSeerX and Web of Science. Then, the selection of suitable filters is presented. Those are then used to construct a search form, which is base of the developed application named Query Assistant. The important advantage of the application is also the automatic download of the found literature. Finally, a short analysis proves the usefulness of our application.

• Keywords: digital library, reference management, scientific literature search, search filters, automatic resource download