NEAR: Visualizing Information Relations in Multimedia Repository A•VI•RE
This paper describes the NEAR (Navigating Exhibitions, Annotations and Resources) panel, a novel interactive visualization technique designed to help people navigate and interpret groups of resources, exhibitions and annotations by revealing hidden relations such as similarities and references. NEAR is implemented on A•VI•RE, an extended online information repository. A•VI•RE supports a semi-structured collection of exhibitions containing various resources and annotations. Users are encouraged to contribute, share, annotate and interpret resources in the system by building their own exhibitions and annotations. However, it is hard to navigate smoothly and efficiently in A•VI•RE because of its high capacity and complexity. We present a visual panel that implements new navigation and communication approaches that support discovery of implied relations. By quickly scanning and interacting with NEAR, users can see not only implied relations but also potential connections among different data elements. NEAR was tested by several users in the A•VI•RE system and shown to be a supportive navigation tool. In the paper, we further analyze the design, report the evaluation and consider its usage in other applications.
[1] M. Herman, and M. Marshall, "Graph Visualization and Navigation in
Information Visualization: a Survey," in IEEE Transactions on Visualization and Computer Graphics Vol. 6, No. 1. Jan-Mar 2000. pp.
24-43.
[2] J. Sweller, "Cognitive load during problem solving: Effects on learning," in Cognitive Science, Vol. 12. 1998, pp. 257-285.
[3] C. Ware, Information Visualization: Perception for Design (2nd Ed.).
Morgan Kaufman, San Francisco, CA. 2004.
[4] R. Baeza-Yates and B. Ribeiro-Neto., Modern Information Retrieval,
Addison Wesley, Reading, Massachusetts, 1999.
[5] D. Goldberg, D. Nichols, B. M. Oki. And D. Terry. "Using collaborative filtering to weave an information tapestry," in Communications of the ACM, Vol. 35, No. 12, December 1992, pp. 61-70.
[6] J. A. Konstan, B. N. Miller, D. Maltz, L. L. Herlocker, L. R. Gordon, and J. Riedl. "GroupLens: Applying Collaborative Filtering to Usenet
News," in Communications of the ACM, Vol. 40, No. 3, March 1997, pp. 77-87.
[7] U. Shardanand and P. Maes, "Social Information Filtering: Algorithms
for automating ÔÇÿword of mouth-", in Proceedings of the Conference on Human Factors in Computing System, Denver, Colorado, 1995.
[8] G. Jeh and J. Widom. "SimRank: A measure of structural-context
similarity", in Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton,
Alberta, Canada, July 2002, pp. 1-11.
[9] H. Small. "Co-citation in the scientific Literature: A New Measure of the
Relationship between Two Documents", in Journal of the American Society of Information Science, Vol. 24, 1973, pp. 265-269.
[10] M. M. Kessler. "Bibliographic Coupling between Scientific Papers", in
American Documentation, Vol. 12 1963, pp. 10-25.
[11] A. Popescul, G. Flake, S. Lawrence, L. H. Ungar and C. L. Giles. "Clustering and Identifying Temporal Trends in Document Databases",
in Proceedings of the IEEE Advances in Digital Libraries, Washington, D.C., May 2000.
[12] R. R. Larson. "Bibliometrics of the World-Wide Web: An Exploratory
Analysis of the Intellectual Structure of Cyberspace," in Proceedings of the Annual Meeting of the American Society for Information Science, Baltimore, Maryland, October 1996.
[13] G. D. Venolia, and C. Neustaedter, "Understanding Sequence and
Replay Relationships with Email Conversations: A Mix-Model Visualization," in CHI 2003, ACM press. Vol 5. Issue 1. 2003. pp. 361-
368. [14] W. J. Li, S. Hershkop, and S. J. Stolfo, "Email Archive Analysis through
Graphical Visualization," in VizSEC/DMSEC-04, Washington, DC, Oct.
29 2004. pp. 128-132.
[15] B. Kerr, "Thread Arcs: An Email Thread Visualization," in Proceedings
of the 2003 IEEE Symposium on Information Visualization, IEEE Computer Science Press. Seattle, Washington, 2003, pp. 211-218.
[16] V. E. Ogle, and M. Stonebraker, "Chabot: Retrieval from Relational
Database of Images". In IEEE Computer, 28(9). 1995, pp. 40-48.
[17] G. G. Robertson and J. D. Mackinlay, "The Document Lens", in Proceedings of the ACM Symposium on User Interface Software and
Technology (UIST93), Visualizing Information, 1993, pp. 101-108.
[18] H. Kang, and B. Shneiderman, "Visualization Methods for Personal
Photo Collections: Browsing and Searching in the Photofinder," in IEEE
International Conference on Multimedia and Expo (III).2000, pp. 1539-1542.
[19] R. S. Torres, C. G. Silva, C. B. Medeiros and H. V. Rocha, "Visual
Structures for Image Browsing," in CIKM-03, November 3-8 2003, New
Orleans, Louisiana, pp. 49-55.
[20] T. J. Jankun-Kelly and K-L. Ma, "MoireGraphs: Radial Focus+Context
Visualization and Interaction for Graphs with Visual Nodes," in
Proceedings of the 2003 IEEE Symposium on Information Visualization,
IEEE Computer Science Press. Seattle, Washington, 2003, pp. 59-66.
[21] B. Shneiderman, Designing the User Interface. Addison-Wesley,
Reading. MA. 1998.
[22] R. A. Becker and W. S. Cleaveland, Brushing scatterplots. In
Technometrices 29, 2, 1987. pp. 127-142.
[23] Thomson Scientific. 2006. ISI Web of Knowledge Home, (Online), Available: http://isiwebofknowledge.com/index.html (Accessed: 2006,
Jan.23th).
[1] M. Herman, and M. Marshall, "Graph Visualization and Navigation in
Information Visualization: a Survey," in IEEE Transactions on Visualization and Computer Graphics Vol. 6, No. 1. Jan-Mar 2000. pp.
24-43.
[2] J. Sweller, "Cognitive load during problem solving: Effects on learning," in Cognitive Science, Vol. 12. 1998, pp. 257-285.
[3] C. Ware, Information Visualization: Perception for Design (2nd Ed.).
Morgan Kaufman, San Francisco, CA. 2004.
[4] R. Baeza-Yates and B. Ribeiro-Neto., Modern Information Retrieval,
Addison Wesley, Reading, Massachusetts, 1999.
[5] D. Goldberg, D. Nichols, B. M. Oki. And D. Terry. "Using collaborative filtering to weave an information tapestry," in Communications of the ACM, Vol. 35, No. 12, December 1992, pp. 61-70.
[6] J. A. Konstan, B. N. Miller, D. Maltz, L. L. Herlocker, L. R. Gordon, and J. Riedl. "GroupLens: Applying Collaborative Filtering to Usenet
News," in Communications of the ACM, Vol. 40, No. 3, March 1997, pp. 77-87.
[7] U. Shardanand and P. Maes, "Social Information Filtering: Algorithms
for automating ÔÇÿword of mouth-", in Proceedings of the Conference on Human Factors in Computing System, Denver, Colorado, 1995.
[8] G. Jeh and J. Widom. "SimRank: A measure of structural-context
similarity", in Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton,
Alberta, Canada, July 2002, pp. 1-11.
[9] H. Small. "Co-citation in the scientific Literature: A New Measure of the
Relationship between Two Documents", in Journal of the American Society of Information Science, Vol. 24, 1973, pp. 265-269.
[10] M. M. Kessler. "Bibliographic Coupling between Scientific Papers", in
American Documentation, Vol. 12 1963, pp. 10-25.
[11] A. Popescul, G. Flake, S. Lawrence, L. H. Ungar and C. L. Giles. "Clustering and Identifying Temporal Trends in Document Databases",
in Proceedings of the IEEE Advances in Digital Libraries, Washington, D.C., May 2000.
[12] R. R. Larson. "Bibliometrics of the World-Wide Web: An Exploratory
Analysis of the Intellectual Structure of Cyberspace," in Proceedings of the Annual Meeting of the American Society for Information Science, Baltimore, Maryland, October 1996.
[13] G. D. Venolia, and C. Neustaedter, "Understanding Sequence and
Replay Relationships with Email Conversations: A Mix-Model Visualization," in CHI 2003, ACM press. Vol 5. Issue 1. 2003. pp. 361-
368. [14] W. J. Li, S. Hershkop, and S. J. Stolfo, "Email Archive Analysis through
Graphical Visualization," in VizSEC/DMSEC-04, Washington, DC, Oct.
29 2004. pp. 128-132.
[15] B. Kerr, "Thread Arcs: An Email Thread Visualization," in Proceedings
of the 2003 IEEE Symposium on Information Visualization, IEEE Computer Science Press. Seattle, Washington, 2003, pp. 211-218.
[16] V. E. Ogle, and M. Stonebraker, "Chabot: Retrieval from Relational
Database of Images". In IEEE Computer, 28(9). 1995, pp. 40-48.
[17] G. G. Robertson and J. D. Mackinlay, "The Document Lens", in Proceedings of the ACM Symposium on User Interface Software and
Technology (UIST93), Visualizing Information, 1993, pp. 101-108.
[18] H. Kang, and B. Shneiderman, "Visualization Methods for Personal
Photo Collections: Browsing and Searching in the Photofinder," in IEEE
International Conference on Multimedia and Expo (III).2000, pp. 1539-1542.
[19] R. S. Torres, C. G. Silva, C. B. Medeiros and H. V. Rocha, "Visual
Structures for Image Browsing," in CIKM-03, November 3-8 2003, New
Orleans, Louisiana, pp. 49-55.
[20] T. J. Jankun-Kelly and K-L. Ma, "MoireGraphs: Radial Focus+Context
Visualization and Interaction for Graphs with Visual Nodes," in
Proceedings of the 2003 IEEE Symposium on Information Visualization,
IEEE Computer Science Press. Seattle, Washington, 2003, pp. 59-66.
[21] B. Shneiderman, Designing the User Interface. Addison-Wesley,
Reading. MA. 1998.
[22] R. A. Becker and W. S. Cleaveland, Brushing scatterplots. In
Technometrices 29, 2, 1987. pp. 127-142.
[23] Thomson Scientific. 2006. ISI Web of Knowledge Home, (Online), Available: http://isiwebofknowledge.com/index.html (Accessed: 2006,
Jan.23th).
@article{"International Journal of Information, Control and Computer Sciences:58451", author = "Qian and C. Z. and Chen and V. Y. and R. F. Woodbury", title = "NEAR: Visualizing Information Relations in Multimedia Repository A•VI•RE", abstract = "This paper describes the NEAR (Navigating Exhibitions, Annotations and Resources) panel, a novel interactive visualization technique designed to help people navigate and interpret groups of resources, exhibitions and annotations by revealing hidden relations such as similarities and references. NEAR is implemented on A•VI•RE, an extended online information repository. A•VI•RE supports a semi-structured collection of exhibitions containing various resources and annotations. Users are encouraged to contribute, share, annotate and interpret resources in the system by building their own exhibitions and annotations. However, it is hard to navigate smoothly and efficiently in A•VI•RE because of its high capacity and complexity. We present a visual panel that implements new navigation and communication approaches that support discovery of implied relations. By quickly scanning and interacting with NEAR, users can see not only implied relations but also potential connections among different data elements. NEAR was tested by several users in the A•VI•RE system and shown to be a supportive navigation tool. In the paper, we further analyze the design, report the evaluation and consider its usage in other applications.
", keywords = "measure similarity, trace reference, inherentrelation, information visualization, online multimedia repository", volume = "1", number = "11", pages = "3549-6", }
