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New Technology of Library and Information Service  2013, Vol. 29 Issue (2): 11-17    DOI: 10.11925/infotech.1003-3513.2013.02.02
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Visualization Implementation of Relation Discovery Based on Linked Data
Hong Na1, Qian Qing1, Fan Wei2, Fang An1, Wang Junhui1
1. Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China;
2. School of Public Administration, Sichuan University, Chengdu 610064, China
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Abstract  This article implements a visualization exploration and research of relation discovery based on linked data. The authors investigate current RDF visualization tools and compare them in multiple views, choose kinds of biomedical datasets to construct biomedical linked data and apply RelFinder to implement a biomedical semantic relation discovery system. At last, the insufficiency of this system and the future research direction are discussed.
Key wordsLinked data      Relation discovery      Interactive      RDF      Visualization     
Received: 24 January 2013      Published: 24 April 2013
:  G203  

Cite this article:

Hong Na, Qian Qing, Fan Wei, Fang An, Wang Junhui. Visualization Implementation of Relation Discovery Based on Linked Data. New Technology of Library and Information Service, 2013, 29(2): 11-17.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.02.02     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V29/I2/11

[1] Heim P, Hellmann S, Lehmann J, et al. RelFinder: Revealing Relationships in RDF Knowledge Bases[EB/OL].[2012-09-10].http://www.uni-due.de/~s400268/RelFinder-SAMT09.pdf.
[2] Lehmann J,Schüppel J, Auer S. Discovering Unknown Connections - the DBpedia Relationship Finder[C]. In: Proceedings of the 1st Conference on Social Semantic Web (CSSW '07), Leipzig, Germany.2007:99-110.
[3] Ellson J, Gansner E, Koutsofios L, et al. Graphviz-Open Source Graph Drawing Tools[EB/OL].[2012-10-22]. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.9389.
[4] BioGrapher [EB/OL]. [2012-09-10].http://www.bioquest.org/esteem/esteem_details.php?product_id=6509.
[5] Idea Flow Charting Uncover Your Group's Hidden Knowledge[EB/OL].[2012-10-22].http://www.myideatree.com/.
[6] Goyal S,Westenthaler R.RDF Gravity (RDF Graph Visualization Tool)[EB/OL].[2012-10-22]. http://semweb.salzburgresearch.at/apps/rdf-gravitv/.
[7] Iliadis L, Maglogiannis I, Tsoumakas G, et al. Artificial Intelligence Applications and Innovations[C].In:Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI'2009), Thessaloniki, Greece .2009:154-160.
[8] Gruff: A Grapher-Based Triple-Store Browser for AllegroGraph[EB/OL].[2012-11-10].http://www.franz.com/agraph/gruff/index.lhtml.
[9] AllegroGraph[EB/OL].[2012-11-11].http://www.franz.com/agraph/allegrograph/.
[10] Berners-Lee T.Linked Data[EB/OL]. [2013-01-27]. http://www.w3.org/DesignIssues/LinkedData.html.
[11] Bizer C,Cyganiak R,Heath T. How to Publish Linked Data on the Web[EB/OL]. [2012-08-31].http://www4.wiwiss.fu-berlin.de/bizer/pub/LinkedDataTutorial/.
[12] Hayes J. A Graph Model for RDF[D]. Santiago: Technische Universittt Darmstadt Universidad de Chile, 2004.
[13] Li S R,Yang T, Hong N,et al.Assessment and Comparative Analysis of RDF Visualization Technology[C].In: Proceedings of International Conference on Computer Science and Service System (CSSS), Nanjing, China. 2012:1293-1296.
[14] Heim P, Lohmann S, Stegemann T. Interactive Relationship Discovery via the Semantic Web[EB/OL].[2012-09-10].http://www.visus.uni-stuttgart.de/uploads/tx_vispublications/eswc10-heimLohmannStegemann.pdf.
[15] Configuring the RelFinder[EB/OL].[2013-01-27].http://www.visualdataweb.org/configuration.php.
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