Purpose The purpose of this paper is to summarize the current state of the existing research on the application of semantic technologies in bibliographic databases by providing answers to a set of research questions resulting from a systematic literature review. Design/methodology/approach The present study consists of conducting a systematic literature review of research works related to the application of semantic technologies in bibliographic databases. A manual keyword search is performed in known academic databases. As a result, a total of 78 literature sources are identified as related to the topic and included in the review. From the selected literature sources, information is extracted, which is then summarized and analyzed according to previously defined research questions and finally reported. Besides, a framework is defined to classify literature sources found and collected as a result of the study. The main criteria, according to which the classification is performed, are the used semantic technology and the research problem for which semantic technologies are applied in bibliographic databases. The classification of the publications is verified by each author independently of others. Findings The conducted systematic scientific review establishes that the evolution of semantic technologies sets a period of increased interest in the researchers, as a result of which the advantages of using them for bibliographic descriptions are examined and practically confirmed. After defining semantic models for bibliographic descriptions and approaches to transform existing bibliographic data into their correspondence, the research interest is directed at their comparison, collation; enrichment to facilitate search and retrieval of useful information. Possible perspectives for future research are outlined, which mainly relate to the complete use of the created data sets and their transformation into knowledge repositories. Originality/value Despite the increasing importance of the semantic technologies in various areas, including the bibliographic databases, there is a lack of comprehensive literature review and classification of literature sources relevant to this topic. The detailed study proposed in the present paper supports introducing with the existing experience in the application of semantic technologies in bibliographic databases, as well as facilitates the discovery of trends and guidelines for future research.

Text classification requires previously extraction of features describing the text documents in the collection. Usually these features are based on the occurrence frequency of words, N-grams of words in documents, i.e. the vector space model for document representation is built. Feature selection allows to reduce redundancy in high-dimensional representation of text data, which can significantly improve text classification performance. In the present paper, research on feature selection methods is performed in terms of the accuracy and F-measure of text classification with different number of selected attributes (N-grams of words) for different classifiers and different datasets. The obtained results can be used to apply further pre-processing steps, which include modifying the vector space model in order to achieve its improvement in terms of the text classification.

Purpose -The aim of this paper is to propose the bibliographic information system "Personal eLibrary bgMath". This is a system for the organisation, storage and usage of digitalised literature. It supports the user in organising his/her publications and his/her library of electronic issues. The system is very convenient, especially for scientific literature. Design/methodology/approach -The methodology to design a database storing information about publications and other literature is presented. The entity-relationship model of the database is described. The relational tables, obtained after the transformation of the created ER model into a relational model, are given. The paper contains the description of the forms implementing two basic tasks of the presented program, i.e. input and search for publications. The database is implemented by means of the database management system Microsoft Access 2007. Findings -The system Personal eLibrary bgMath allows easy manipulation of materials (papers, dissertations, reports, etc.) and references, which are used frequently and are very often necessary in scientific activity such as research, writing papers and dissertations, preparing reports and web pages or application documentation. The proposed program is free and a user guide is available. Originality/value -This paper proposes a practical method for creating a bibliographic system for scientific literature and explains its basic functional features.

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