Novosibirsk State University Journal of Information Technologies
Scientic Journal

ISSN 2410-0420 (Online), ISSN 1818-7900 (Print)

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All Issues >> Contents: Volume 09, Issue No 3 (2011)

Visualization tools for large scientific portals content
Z. V. Apanovich, P. S. Vinokurov, T. A. Kislitcina

A. P. Ershov Institute of Informatics Systems SB RAS
Novosibirsk State University

UDC code: 004.9, 004.89

Due to the fast development of Semantic Web and its new branch of Linked Open Data, large amounts of structured information on various scientific areas become available. Digital libraries, information systems and portals based on ontologies are the most reliable sources of this information that need careful investigation in order to optimize science management. A generally accepted way to facilitate understanding of such large and complex data sets is graph visualization. This paper is devoted to newly developed visualization algorithms of co-authorship and citation networks extracted from information portals and digital libraries of the Linked Open Data cloud.

Key Words
Open Linked Data, modularity, citation networks, layered graph drawing, information visualization, content, ontology, scientific portal

How to cite:
Apanovich Z. V., Vinokurov P. S., Kislitcina T. A. Visualization tools for large scientific portals content // Vestnik NSU Series: Information Technologies. - 2011. - Volume 09, Issue No 3. - P. 5-14. - ISSN 1818-7900. (in Russian).

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1. Apanovich Z. V., Kislitcyna T. A. Rasshireniye podsistemy vizualizatcii napolneniya informatcionnogo portala sredstvami vizualnoi analitiki // Problemy upravleniya i modelirovaniya v slozhnykh sistemakh: Tr. XII Mezhdunar. konf. Samara, 2010. S. 518–525.
2. Apanovich Z. V., Vinokurov P. S. Ontology Based Portals and Visual Analysis of Scientific Communities // First Russia and Pacific Conference on Computer Technology and Applications, 6–9 September, 2010. Vladivostok, 2010. P. 7–11.
3. Bizer C., Heath T., Berners-Lee T. Linked Data – The Story so Far // Int. J. Semantic Web Inf. Syst. 2009. Vol. 5 (3). P. 1–22.
4. Newman M. E. J., Girvan M. Finding and Evaluating Community Structure in Networks // Physical Review E. 2004. Vol. 69.
5. Fruchterman T. M. J., Reingold E. M. Graph Drawing by Force-Directed Placement // Software – Practice and Experience. 1991. Vol. 21. No. 11. P. 1129–1164.
6. Sugiyama K., Tagawa S., Toda M. Methods for Visual Understanding of Hierarchical System Structures // IEEE Trans. Systems, Man, and Cybernetics. 1981. P. 109–125.
7. Lin Shen, Kernighan B. W. An Effective Heuristic Algorithm for the Traveling-Salesman Problem // Operations Research. 1973. Vol. 21 (2). P. 498–516.

Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 09, Issue No 3 (2011).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 09, Issue No 3 (2011).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2011
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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