Abstract
The NEAR (Navigating Exhibitions, Annotations and Resources) is a compact panel designed to help people navigating, searching and interacting in an information repository by visualizing implicit data relations such as sharing, reference and similarity. It is implemented on A∙VI∙RE, an online multimedia repository. A∙VI∙RE supports semi-structured collections (exhibitions) containing various resources and annotations. Its users are encouraged to contribute, share, annotate and interpret resources. Similar to the act of adding items into shopping carts in the e-commence applications, a user’s acts of searching and organizing and interpreting data in A∙VI∙RE are considered as evidence of the user’s preferences. The design process of NEAR was guided by several design moves analyzed from literatures. It implements new navigation and communication approaches that support discovery of relations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)
Becker, R.A., Cleaveland, W.S.: Brushing Scatterplots. Technometrices 29(2), 127–142 (1987)
Jeh, G., Widom, J.: 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, pp. 1–11 (2002)
Kessler, M.M.: Bibliographic Coupling between Scientific Papers. American Documentation 12, 10–25 (1963)
Kerr, B.: Thread Arcs: An Email Thread Visualization. In: Proceedings of the 2003 IEEE Symposium on Information Visualization, Seattle, Washington, pp. 211–218. IEEE Computer Science Press, Los Alamitos (2003)
Popescul, A., Flake, G., Lawrence, S., Ungar, L.H., Giles, C.L.: Clustering and Identifying Temporal Trends in Document Databases. In: Proceedings of the IEEE Advances in Digital Libraries, Washington (2000)
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-Based Collaborative Filtering Recommendation Algorithms. In: Proc. of the 10th International World Wide Web Conference (WWW10), Hong Kong (2001)
Shneiderman, B.: Designing the User Interface. Addison-Wesley, Reading (1998)
Small, H.: Co-citation in the Scientific Literature: A New Measure of the Relationship between Two Documents. Journal of the American Society of Information Science 24, 265–269 (1973)
Thomson Scientific: ISI Web of Knowledge Home (Accessed, Feburary 20, 2006), http://isiwebof-knowledge.com/index.html
Ware, C.: Information Visualization: Perception for Design, 2nd edn. Morgan Kaufman, San Francisco (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Qian, C.Z., Chen, V.Y., Woodbury, R.F. (2006). NEAR: Visualizing Information Relations in a Multimedia Repository. In: Butz, A., Fisher, B., Krüger, A., Olivier, P. (eds) Smart Graphics. SG 2006. Lecture Notes in Computer Science, vol 4073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795018_23
Download citation
DOI: https://doi.org/10.1007/11795018_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36293-7
Online ISBN: 978-3-540-36295-1
eBook Packages: Computer ScienceComputer Science (R0)