Abstract
In this paper, we present a novel relational visualization that supports people at information discovery tasks in digital libraries. This visualization displays search query results structured into topics and highlights the intersections between them. The proposed visual representation introduces interactive drag-and-drop operations for manipulation of the generated topics. These operations mirror the human online searching strategies that involve boolean AND, OR, and NOT operators. In doing so, the information seeker can refine (or relax) a search query in an interactive way during a focusing or a defocusing phase. The intersections of topics are made explicitly visible to enable the information seeker to avoid frustrating “no hits” situations.
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
Borgman, C.L.: Why are online catalogs hard to use? lessons learned from informationretrieval studies. Journal of the American Society for Information Science 37(6) (1986) 387–400
Bates, M.: Subject access in online catalogs: A design model. Journal of the American Society for Information Science 37(6) (1986) 357–376
Vakkari, P.: Task complexity, problem structure and information actions -integrating studies on information seeking and retrieval. Information Processing and Management 35(6) (1999) 819–837
Bates, M.: The design of browsing and berrypicking techniques for the online search interface. Online Review 13(5) (1989) 407–424
Simon, H.A.: The structure of ill-structured problems. Artificial Intelligence 4 (1973) 181–201
Barry, C.L.: User-defined relevance criteria: An exploratory study. Journal of the American Society for Information Science 45(3) (1994) 149–159
Anderson, T.D.: Studying human judgments of relevance: interactions in context. In Ruthven, I., ed.: Proceedings of the 1st international conference on Information interaction in context, ACM (2006) 6–14
Cutting, D.R., Karger, D.R., Pedersen, J.O., Tukey, J.W.: Scatter/gather: a cluster-based approach to browsing large document collections. In: SIGIR ’92: Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, New York, NY, USA, ACM Press (1992) 318–329
Marchionini, G.: Information seeking in electronic environments. Cambridge University Press, New York, NY, USA (1995)
Harter, S.: Online information retrieval: Concepts, principles, and techniques. Academic Press, Orlando, FL (1986)
Hearst, M.A.: Uis for faceted navigation: Recent advances and remaining open problems. In: in the Workshop on Computer Interaction and Information Retrieval, HCIR 2008. (2008)
Meadow, C., Cochrane, P.: Basics of online searching. John Wiley and Sons, New York (1981)
Hawkins, D.T., Wagers, R.: Online bibliographic search strategy development. (1989) 88–95
Vigil, P.J.: The psychology of online searching. Journal of the American Society for Information Science 34(4) (1983) 281–287
McKiernan, G.: New age navigation: Innovative information interfaces for electronic journals. The Serials Librarian 45(2) (2003) 87–123
Zhang, J., Mostafa, J., Tripathy, H.: Information retrieval by semantic analysis and visualization of the concept space of d-lib magazine. D-Lib Magazine 8(10) (October 2002)
Robertson, G.G., Mackinlay, J.D., Card, S.K.: Cone trees: animated 3d visualizations of hierarchical information. In: CHI ’91: Proceedings of the SIGCHI conference on Human factors in computing systems, New York, NY, USA, ACM (1991) 189–194
Mizukoshi, D., Hori, Y., Gotho, T.: Extension models of cone tree visualizations to large scale knowledge base with semantic relations. In: The 14th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision’2006. (2006)
Venn, J.: On the diagrammatic and mechanical representation of propositions and reasonings. Philosophical Magazine and Journal of Science 9(50) (1880)
Acknowledgments
The research project DILIA (Digital Library Assistant) is co-funded by the European Regional Development Fund (EFRE) under grant number 10140159. We gratefully acknowledge this support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag US
About this paper
Cite this paper
Seifert, I., Kruppa, M. (2009). A Pool of Topics: Interactive Relational Topic Visualization for Information Discovery. In: Huang, M., Nguyen, Q., Zhang, K. (eds) Visual Information Communication. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0312-9_13
Download citation
DOI: https://doi.org/10.1007/978-1-4419-0312-9_13
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-0311-2
Online ISBN: 978-1-4419-0312-9
eBook Packages: Computer ScienceComputer Science (R0)