Model of a user friendly system for library cataloguing

Belic, Katarina; Surla, Dušan

doi:10.2298/csis0801061b

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…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. For that purpose, we developed the Current Research Information System (CRIS) on the recommendation of the nonprofit organization euroCRIS.…”

Section: Bisismentioning

confidence: 99%

Eclipse Editor for MARC Records

Surla

2012

ITAL

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Section: Bisismentioning

confidence: 99%

Eclipse Editor for MARC Records

Surla

2012

ITAL

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“…One example of such editor is Concourse . Furthermore, there are some editors within the BISIS system that were designed in such way . These editors are available in the form of a Web application and are meant for users who have no specific knowledge of MARC formats.…”

Section: Related Workmentioning

confidence: 99%

Developing an Eclipse editor for MARC records using Xtext

Surla

2012

Softw Pract Exp

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SUMMARY In this paper, we present the idea of developing an editor for MAchine‐Readable Cataloguing records that is part of a library management system. The idea was realized and implemented as a part of the library management system BISIS. The objective was to generate an Eclipse plug‐in of the editor in an Xtext environment by specifying the Xtext grammar and generating an Eclipse Modelling Framework model of the MAchine‐Readable Cataloguing record. The next step was to specify additional features of the editor in the Xtext environment such as content assist and constraints on the record used for checking the correctness of the input. The implementation of additional functionalities of the editor was carried out in the Eclipse plug‐in development environment, and user interface components were implemented by using Standard Widget Toolkit and JFace libraries. A special emphasis is placed on the Eclipse extension model that relies on the Open Services Gateway initiative standard and enables efficient implementation of the systems with a component‐based, service‐oriented architecture. We took advantage of that model and created an extensible and adoptable application that can be used by any database management system and can be integrated in other library management systems. Finally, we discuss a possible way of extracting applications from Eclipse by using Rich Client Platform technology. Copyright © 2012 John Wiley & Sons, Ltd.

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“…Distributed library catalogues in BISIS are discussed by Vidaković et al (2009). Belić and Surla (2008a, b) describe the modelling and implementation of a web‐based system for entering data about published scientific research outputs in the UNIMARC format.…”

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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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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Model of a user friendly system for library cataloguing

Cited by 9 publications

References 3 publications

Eclipse Editor for MARC Records

Eclipse Editor for MARC Records

Developing an Eclipse editor for MARC records using Xtext

Automatic extraction of metadata from scientific publications for CRIS systems

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