Volume 7 Number 11 (Nov. 2012)
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JSW 2012 Vol.7(11): 2606-2613 ISSN: 1796-217X
doi: 10.4304//jsw.7.11.2606-2613

Research on Engineering Software Data Formats Conversion Network

Wenbin Zhao1, Zhengxu Zhao2

1School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, 210096, China
2School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, Hebei, 050043, China

Abstract—Disperse engineering information constitutes a domain of complex relationship, into which researching with complex network could contribute significantly to its organization and preservation. A complex network which takes engineering software data formats as nodes is constructed and its statistical characteristics, such as directed edge or undirected edge, the node number, the edge number, average path length, clustering coefficient and node degree distribution, etc, are analyzed in this paper. A Voronoi diagram based complex network visualization and retrieval method is provided. According to statistical characteristics of constructed network, visualization method calculates network nodes’ position in a two-dimensional plane and divides this plane into Voronoi diagram by feature nodes of network nodes’ clustering and network nodes. Retrieval method restricts compared nodes to nodes in Voronoi domain of feature nodes which are more related to query node, the number of compared nodes is reduced in retrieval process. The experiment result indicates applying this method into data formats conversion path retrieval can ensure retrieval precision and improve retrieval efficiency, thus provide reliable basis for migrating numerous disperse engineering information.

Index Terms—information preservation, data migration, format conversion, complex network, Voronoi diagram


Cite: Wenbin Zhao, Zhengxu Zhao, "Research on Engineering Software Data Formats Conversion Network," Journal of Software vol. 7, no. 11, pp. 2606-2613, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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