U ovom radu se opisuje medijski doprinos radio emisije Digitalne ikone, Radio Beograda 2 i autorke Tamare Vučenović u predstavljanju, analizi i kritičkom promišljanju digitalnih tehnologija, procesa digitalizacije i brojnih izazova sa kojima se suočavamo u tehnološki sve naprednijem okruženju. U radu je ukazano na značajnu ulogu koju emisija „Digitalne ikone” ima u razvoju informacionog društva u Srbiji i višegodišnjoj promociji i predstavljanju mogućnosti koje internet i nove tehnologije nude u pogledu predstavljanja, očuvanja i negovanja naše tradicije, nauke i kulture.

This paper presents and summarizes a media contribution of radio show Digital Icons, Radio Belgrade 2 and author Tamara Vučenović to the representation, analyzing and critical thinking of digital technologies, digitization processes and diverse challenges that we face in digitally growing surrounding. The paper points out to important role of Digital Icons radio show in developing information society in Serbia and continuous promotion and representation of the possibilities that internet and new technologies offer in terms of presenting, preserving and nurturing of our tradition, science and culture.

The Serbian railway Šid - Dimitrovgrad was completed at the end of the 19th century, and besides occasional reconstructions and technological upgrades, it is still in service. The geographical position of the railway route and the historical context at the time of construction and during operation, made that the railway exceeded its local significance and become an important corridor of the European railway network. In recent years, the strategic modernisation of the Serbian railway system, including the Šid - Dimitrovgrad railway, is underway. That is why we have initiated the research of the industrial heritage along the railway, which sometimes dates from the time of construction. Our purpose was to identify, research and document existing railway installations and technical infrastructure, as well as the industrial heritage surrounding the railway.In this article, we present the results of our research and suggest ways to continuously preserve some of the valuable cultural, technical and industrial heritage.

The topic of thispaperis the development of a framework for digital archiving in order to preserve, present and enable the availability of digitized and digital content for the purpose of historical and other research. The proposed framework is based on the concept of “thematic collections̕ˮ and is intended for researchers who want to create their own digital collections of historical sources and texts in order to acquaint the wider scientific community with their research, connect them with a wider context and create conditions for networking and cooperation. On the example of digitization of archival material of the Mathematical Institute SANU,and in accordance with current recommendations and regulations for digitization of cultural heritage in the Republic of Serbia, the proposed framework offers guidelines for: 1) economical digital translation process to obtain operational copies for web presentation, 2) cataloguing and description of digital documents using the Dublin Core set of elements, 3) creating a digital archive using the Omeka Classic platform, 4) creating guidelines for archival research on specific historical topics, and 5) compiling historical essays in a digital environment. The expected results are: 1) proposal for a framework for digital archiving of digital and digitized content for the purpose of historical and other research, and 2) digital collection dedicated to the history of mathematics and related sciences in Serbia and Southeastern Europe.

Identifying an author of an anonymous text document is an important problem when dealing with historical data. As authors have their own characteristic writing styles, expressed through specific phrases, sentence constructions or word choices, their text documents incorporate the style and create implicit connection with the author. This paper proposes an approach for identification of authors of the anonymous documents, based on generalized suffix tree data structure and defined similarity score, suitable for analysis of digitized historical text documents. The following method can also be used for detecting and evaluating plagiarism, where the document author is known, but the document shows a high similarity with documents from another author.