research-article

RDF data exploration and visualization

Authors:

Leonidas Deligiannidis,

Krys J. Kochut,

Amit P. ShethAuthors Info & Claims

CIMS '07: Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience

Pages 39 - 46

https://doi.org/10.1145/1317353.1317362

Published: 09 November 2007 Publication History

Abstract

We present Paged Graph Visualization (PGV), a new semi-autonomous tool for RDF data exploration and visualization. PGV consists of two main components: a) the "PGV explorer" and b) the "RDF pager" module utilizing BRAHMS, our high per-formance main-memory RDF storage system. Unlike existing graph visualization techniques which attempt to display the entire graph and then filter out irrelevant data, PGV begins with a small graph and provides the tools to incrementally explore and visualize relevant data of very large RDF ontologies. We implemented several techniques to visualize and explore hot spots in the graph, i.e. nodes with large numbers of immediate neighbors. In response to the user-controlled, semantics-driven direction of the exploration, the PGV explorer obtains the necessary sub-graphs from the RDF pager and enables their incremental visualization leaving the previously laid out sub-graphs intact. We outline the problem of visualizing large RDF data sets, discuss our interface and its implementation, and through a controlled experiment we show the benefits of PGV.

References

[1]

A. Helenius and M. Aebi, Roles of N-Linked Glycans in the Endoplasmic Reticulum, Annual Review of Biochemistry, 73. 1019--1049, 2004.

[2]

A. Sheth, Semantic Meta Data For Enterprise Information Integration, DM Review, http://dmreview.com/article_sub.cfm?articleId=6962, Jul. 2003.

[3]

Aduna Cluster Map Library version 2005.1, (Integration Guide), http://aduna.biz/products/technology/clustermap/docs/Aduna-Cluster-Map-2005.1-Integration-Guide.pdf, 2005.

[4]

B. Aleman Meza, C. Halaschek, A. Sheth, I. B. Arpinar and G. Sannapareddy, SWETO: Large Scale Semantic Web Test-bed, International Workshop on Ontology in Action, Banff, Canada, 2004.

[5]

C. Thomas, A. Sheth and W. York, Modular Ontology Design Using Canonical Building Blocks in the Biochemistry Domain, Proceedings of the International Conference on Formal Ontology in Information Systems (FOIS). IOS Press, Nov. 2006.

Digital Library

[6]

Christiaan Fluit, Marta Sabou and Frank van Harmelen, Ontology-based Information Visualisation, in C. Geroimenka V. Chen, ed., Visualising the Semantic Web, Springer Verlag London, 2002.

[7]

Emden R. Gansner and Stephen C. North, An Open Graph Visualization System and Its Applications to Software Engineering, Software - Practice and Experience, 30 (11) (2000), pp. 1203--1233.

Digital Library

[8]

Eyal Oren, Renaud Delbru and Stefan Decker, Extending faced navigation for RDF data, International Semantic Web Conference (ISWC)(to appear), Nov. 2006.

[9]

F. Frasincar, A. Telea and G.-J. Houben, Adapting graph visualization techniques for the visualization of RDF data, Visualizing the Semantic Web, 2006, pp. 154--171.

[10]

K. M. Fairchild, S. E. Poltrock and G. W. Furnas, SemNet: Three-dimensional graphic representation of large knowledge bases, Cognitive Science and its Application for Human-Computer Interface, Erlbaum, Hillsdale, NJ., 1988, pp. 201--233.

[11]

Frank van Harmelen, Jeen Broekstra, Christiaan Fluit, Herko ter Horst, Arjohn Kampman, Jos van der Meer and M. Sabou, Ontology-based Information Visualization, Proc. of the workshop on Visualization of the Semantic Web (VSW'01), London, 2001.

Digital Library

[12]

Gene Ontology Home, http://www.geneontology.org/.

[13]

George A. Miller, WordNet: A Lexical Database for English, Communications of the ACM 38 (11) (1995), pp. 39--41.

Digital Library

[14]

Home page of Dynagraph, http://dynagraph.org/.

[15]

Home page of GraphViz, http://www.graphviz.org/.

[16]

Home page of uDraw, http://www.informatik.uni-bremen.de/uDrawGraph/en/index.html.

[17]

Hsinchun Chen, Chris Schuffels and R. Orwig, Internet Categorization and Search: A Self-Orginizing Approach, Journal of Visual Communication and Image Representation, 7 (1) (1996), pp. 88--102.

[18]

Hypertext Transfer Protocol -- HTTP/1.1 (RFC2616), http://www.w3.org/Protocols/rfc2616/rfc2616.html.

[19]

John Ellson, Emden R. Gansner, Eleftherios Koutsofios, Stephen C. North and G. Woodhull, Graphviz - Open Source Graph Drawing Tools, Graph Drawing, 2001, pp. 483--484.

[20]

K.-P. Yee, K. Swearingen, K. Li and M. Hearst, Faceted metadata for image search and browsing, In Human-Computer Interaction (CHI'03), Florida, 2003.

Digital Library

[21]

T. Kapler, R. Harper and W. Wright, Correlating Events with Tracked Movements in Time and Space: A GeoTime Case Study, Intelligence Analysis Conference, Washington, DC., 2005.

[22]

T. Kapler and W. Wright, GeoTime Information Visualization, Proc. of IEEE InfoVis, 2004.

Digital Library

[23]

Keith Andrews, Wolfgang Kienreich, Verdran Sabol, Jutta Becker, Georg Droschl, Frank Kappe, Michael Granitzer, Peter Auer and K. Tochtermann, The InforSky Visual Explorer: Exploiting Hierarchical Structure and Document Similarities, Information Visualization, 1 (3/4) (2002), pp. 166--181.

Digital Library

[24]

KeWei Tu, Miao Xiong, Lei Zhang, HaiPing Zhu, J. Zhang and Y. Yu, Towards Imaging Large-Scale Ontologies for Quick Understanding and Analysis, Proceedings of the Fourth International Semantic Web Conference (ISWC2005), LNCS 3729/2005, Galway, Ireland, 2005, pp. 702--715.

Digital Library

[25]

T. Kohonen, Self-organization of very large document collections: State of the art., Proc. of the 8th International Conference on Artificial Neural Networks (ICANN98), 1998, pp. 65--74.

[26]

T. Kohonen, Self Organizing Maps, Springer Series in Information Sciences, Springer Espoo, Finland, 1994.

Digital Library

[27]

Leonidas Deligiannidis, A. P. Sheth and B. Aleman-Meza, Semantic Analytics Visualization, In Proc. of the IEEE International Conference on Intelligence and Security Informatics (ISI-2006), San Diego, CA, USA, 2006.

Digital Library

[28]

M. Janik and K. Kochut, BRAHMS: A WorkBench RDF Store And High Performance Memory System for Semantic Association Discovery, Fourth International Semantic Web Conference ISWC 2005, Galway, Ireland, 2005.

Digital Library

[29]

A. Maedche and R. Volz, The Text-To-Onto Ontology Extraction and Maintenance System, ICDM-Workshop on Integrating Data Mining and Knowledge Management, San Jose, California, USA.

[30]

Noy N. F. Sintek, M. Decker, S. Crubezy, M. Fergerson and M. A. R. W. Musen, Creating Semantic Web Contents with Protege-2000, IEEE INTELLIGENT SYSTEMS Bibliographic details, 16 (2) (2001), pp. 60--71.

Digital Library

[31]

OntoLift Prototype, WonderWeb: Ontology Infrastructure for the Semantic Web, http://wonderweb.semanticweb.org/deliverables/documents/D11.pdf.

[32]

I. Polikoff and D. Allemang, Semantic Technology http://www.topquadrant.com/documents/TQ03_Semantic_Technology_Briefing.PDF, TopQuadrant Technology Briefing, 1 (1) (2003).

[33]

R. Angles and C. Gutierrez, Querying RDF data from a graph database perspective, 2nd European Semantic Web Conference (ESWC), Greece, 2005, pp. 346--360.

Digital Library

[34]

R. Apweiler, A. Bairoch, C. Wu, W. Barker, B. Boeckmann, S. Ferro, E. Gasteiger, H. Huang, R. Lopez, M. Magrane, M. Martin, D. Natale, C. O'Donovan, N. Redaschi and L. Yeh, UniProt: the Universal Protein knowledgebase, Nucleic Acids Res 32: D115 - D119, Jan 2004.

[35]

R. W. White, B. Kules, S. M. Drucker and M. Schraefel, Supporting exploratory search, Communications. of the ACM, 49 (4) (2006).

Digital Library

[36]

Ramana Rao and Stuart K. Card, The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+Context Visualization for Tabular Information, Proc. ACM Conf. Human Factors in Computing Systems, 1994.

Digital Library

[37]

G. G. Robertson, S. K. Card and J. D. Mackinlay, Information Visualization Using 3D Interactive Animation, Communications of the ACM, 36 (4) (1993), pp. 57--71.

Digital Library

[38]

S. Sahoo, C. Thomas, A. Sheth, W. York and S. Tartir, Knowledge Modeling and its application in Life Sciences: A Tale of two ontologies, The 15th World Wide Web (WWW, 2006) conference, Edinburgh, UK, May 2006.

Digital Library

[39]

R. Spence and M. D. Apperley, Data Base Navigation: An Office Environment for the Professional, Behavior and Information Technology, 1 (1) (1982), pp. 43--54.

[40]

Stephen G. Eick and Graham J. Wills, Navigating Large Networks with Hierarchies, Proc. of IEEE Conf. Visualization, 1993, pp. 204--210.

Digital Library

[41]

Storey M. A. D., Noy N. F., Musen M. A., Best C., Fergerson R. W. and Ernst N., Jambalaya: An Interactive Environment for Exploring Ontologies, Proc. of the International Conference on Intelligent User Interfaces (IUI), 2002.

Digital Library

[42]

Sunil Goyal and Rupert Westenthaler, RDF Gravity (RDF Graph Visualization Tool), Salzburg Research, Austria http://semweb.salzburgresearch.at/apps/rdf-gravity/index.html (Retrieved on Nov. 20 2006).

[43]

Taowei David Wang and Bijan Parsia, CropCircles: Topology Sensitive Visualization of OWL Class Hierarchies, 5th International Semantic Web Conference, LNCS, Athens, GA, Nov. 5-9, 2006.

Digital Library

[44]

Thomas A. DeFanti, Maxine D. Brown and Bruce H. McCormick, Visualization: Expanding Scientific and Engineering Research Opportunities, IEEE Computer, 22 (8) (1989), pp. 12--25

Digital Library

[45]

TouchGraph LLC home page, http://www.touchgraph.com/.

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Index Terms

RDF data exploration and visualization
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

CIMS '07: Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience

November 2007

80 pages

ISBN:9781595938312

DOI:10.1145/1317353

Program Chairs:
Prasenjit Mitra
The Pennsylvania State University, USA
,
C. Lee Giles
The Pennsylvania State University, USA
,
Leslie Carr
University of Southampton, UK

Copyright © 2007 ACM.

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Published: 09 November 2007

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https://doi.org/10.1007/978-3-031-24197-0_9
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