Modelling and implementation of catalogue cards using FreeMarker

Radjenovic, Jelena; Milosavljević, Branko; Surla, Dušan

doi:10.1108/00330330910934110

Cited by 17 publications

(11 citation statements)

References 2 publications

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“…The current Version 4 is based on XML technology. Within the version, an XML editor for cataloguing in the UNIMARC and MARC21 format (Dimić and Surla, 2009; Dimić et al , 2010) that uses the component for generating catalogue cards (Rađenović et al , 2009) and text server (Milosavljević et al , 2010) has been developed. Boberić and Surla (2009) describe an XML editor for searching and downloading bibliographic records in accordance with Z39.50 standard, while Tešendić et al (2009) amd Milosavljević and Tešendić (2010) describe a library circulation system.…”

Section: Current Research Information System Of the University Of Novi Sad ‐ Cris Unsmentioning

confidence: 99%

Automatic extraction of metadata from scientific publications for CRIS systems

Kovačević

Ivanović

Milosavljević

et al. 2011

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PurposeThe aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS).Design/methodology/approachThe system is based on machine learning and performs automatic extraction and classification of metadata in eight pre‐defined categories. The extraction task is realised as a classification process. For the purpose of classification each row of text is represented with a vector that comprises different features: formatting, position, characteristics related to the words, etc. Experiments were performed with standard classification models. Both a single classifier with all eight categories and eight individual classifiers were tested. Classifiers were evaluated using the five‐fold cross validation, on a manually annotated corpus comprising 100 scientific papers in PDF format, collected from various conferences, journals and authors' personal web pages.FindingsBased on the performances obtained on classification experiments, eight separate support vector machines (SVM) models (each of which recognises its corresponding category) were chosen. All eight models were established to have a good performance. The F‐measure was over 85 per cent for almost all of the classifiers and over 90 per cent for most of them.Research limitations/implicationsAutomatically extracted metadata cannot be directly entered into CRIS UNS but requires control of the curators.Practical implicationsThe proposed system for automatic metadata extraction using support vector machines model was integrated into the software system, CRIS UNS. Metadata extraction has been tested on the publications of researchers from the Department of Mathematics and Informatics of the Faculty of Sciences in Novi Sad. Analysis of extracted metadata from these publications showed that the performance of the system for the previously unseen data is in accordance with that obtained by the cross‐validation from eight separate SVM classifiers. This system will help in the process of synchronising metadata from CRIS UNS with other institutional repositories.Originality/valueThe paper documents a fully automated system for metadata extraction from scientific papers that was developed. The system is based on the SVM classifier and open source tools, and is capable of extracting eight types of metadata from scientific articles of any format that can be converted to PDF. Although developed as part of CRIS UNS, the proposed system can be integrated into other CRIS systems, as well as institutional repositories and library management systems.

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Section: Current Research Information System Of the University Of Novi Sad ‐ Cris Unsmentioning

confidence: 99%

Automatic extraction of metadata from scientific publications for CRIS systems

Kovačević

Ivanović

Milosavljević

et al. 2011

Program

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“…The current version 4 is based on XML technology. Within that version, an XML editor for cataloguing in the UNIMARC and MARC 21 format (Dimić and Surla, 2009;Dimić et al 2010), which uses the component for generating catalogue cards (Radenović et al 2009) has been developed. Boberić and Surla (2009) and Milosavljevic et al (2010) describe an XML editor for searching and downloading bibliographic records in accordance with the Z39.50 standard, and the papers by Tešendic et al (2009) and Milosavljević and Tešendić (2010) describe a library circulation system, and Vidaković et al (2009) describe distributed library catalogues in BISIS.…”

Section: Introductionmentioning

confidence: 99%

A CERIF‐compatible research management system based on the MARC 21 format

Ivanović

Milosavljević²,

Milosavljević³

et al. 2010

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Purpose -Entering data about published research results should be implemented as a web application that enables authors to input their own data without the knowledge of the bibliographic standard. The aim of this research is to develop a research management system based on a bibliographic standard and to provide data exchange with other research management systems based on the Common European Research Information Format (CERIF) data model. Design/methodology/approach -Object-oriented methodology was used for information system modelling. The modelling was carried out using the computer-aided software engineering (CASE) tool that supports the Unified Modelling Language 2.0 (UML 2.0). The implementation was realised using a set of open-source solutions written in Java. Findings -The result is a system for managing data about published research results. The main system features are the following: public access via the web; authors input data about their own publications by themselves; data about publications are stored in the MARC 21 format; and the user interface enables authors to input data without the knowledge of the MARC 21 format. Research limitations/implications -A method of verifying accuracy of entered data has not been considered yet. It is necessary to allow authorised persons to verify the accuracy of the data. After verifying the accuracy the authors cannot change the data. Practical implications -This software system has been verified and tested on data about published results of researchers employed at the University of Novi Sad in Serbia. This system can be used for evaluation and reporting on scientific research results, generating bibliographies of researchers, research groups and institutions etc. Originality/value -A part of the research management system for entering data about authors and published results is implemented. Data about publications are stored in a bibliographic format and authors can input data about their own publications without the knowledge of the bibliographic standard. The main feature of the system architecture is mutual independence of the component for interaction with users and the component for persisting and retrieving data from the bibliographic records database.

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“…5 As a part of the editor for cataloging, we developed the module generating various reports and catalog cards from MARC records. 6 BISIS also supports creating an electronic catalog of UNIMARC records on the web, where the input of bibliographic data can be down without knowing UNIMARC but the entered data are mapped to UNIMARC and stored in the BISIS database. 7 The recent research within the BISIS project relates to its extension for managing research results at the University of Novi Sad.…”

Section: Bisismentioning

confidence: 99%