Visual Analysis in Reference Management Software

Article Preview

Abstract:

This paper deals with representation of scientific references’ data and visual analysis of this data using web based scientific reference management software. The Reference application, is a web based reference management software, that enables easy administration and management of authors and scientific references. Similar web based reference management systems additionally support advanced tools for data visualization and exploration but the downside of this solutions is that they require installation of additional plugins due to the fact that visualization within the web browsers requires advanced graphics capabilities thus limiting the usability of these applications. The Reference application on the other hand introduces a solution for data visualization and exploration that relies on extensive usage of the latest HTML5 web standard featuring support for rich graphic intensive web applications hence forcing maximum usability and compatibility with the modern web browsers. This paper describes the visualization tool within Reference application, its implementation and functionalities.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

633-637

Citation:

Online since:

September 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S. Leung, Y. Peng: Building Web-enabled bibliography databases for collaborative research by using open source software tools, Program, Vol. 34, No. 3, (2000), pp.291-296.

Google Scholar

[2] RefWorks, http: /www. refworks. com.

Google Scholar

[3] Memento, http: /findnwrite. com/memento.

Google Scholar

[4] Refbase, http: /www. refbase. net.

Google Scholar

[5] L. Stoimenov, N. Veljković, S. Bogdanović-Dinić: Web application for scientific reference management, in Proc. of the TELSIKS 2011 conference, 2011, pp.369-372.

Google Scholar

[6] Reference application, http: /cs. elfak. ni. ac. rs/reference.

Google Scholar

[7] M. Khan, S.S. Khan: Data and Information Visualization Methods, and Interactive Mechanisms: A Survey, International Journal of Computer Applications, Vol. 34, No. 1, (2011), pp.1-14.

Google Scholar

[8] Liveplasma, http: /www. liveplasma. com.

Google Scholar

[9] Tuneglue, http: /audiomap. tuneglue. net.

Google Scholar

[10] Voyage, http: /rssvoyage. com.

Google Scholar

[11] Newsmap, http: /newsmap. jp.

Google Scholar

[12] Quintura, http: /www. quintura. com.

Google Scholar

[13] KartOO, http: /www. kartoo. com.

Google Scholar

[14] Microsoft Visual Explorer, http: /academic. research. microsoft. com/VisualExplorer.

Google Scholar

[15] Digital Bibliographic Library Browser, http: /dbis. uni-trier. de/DBL-Browser.

Google Scholar

[16] T. Nagel, E. Duval: Muse: Visualizing the origins and connections of institutions based on co-authorship of publications, in Proc. of the 2nd International Workshop on Research, 2010, 48-52.

Google Scholar

[17] W3C, HTML5: A vocabulary and associated APIs for HTML and XHTML, http: /www. w3. org/TR/html5.

Google Scholar