A Pool of Queries: Interactive Multidimensional Query Visualization for Information Seeking in Digital Libraries

In this article, I present a novel relational visualization that supports people at exploration of scientific literature in digital libraries. This visualization provides an integrated view of multiple dimensions concealed in the scientific literature. It displays, for example, authors and scientific organizations together with freely defined search queries and highlights the intersections between them. The proposed visual representation introduces interactive drag-and-drop operations for manipulation of queries in order to retrieve further results. These operations enable information seekers to employ efficient online search strategies that involve Boolean AND, OR and NOT operators. In doing so, an information seeker can refine (or relax) various search queries in an interactive way during a focusing or a defocusing phase. The intersections of queries are made explicitly visible to enable the information seeker to build an individual picture of the research area under investigation and to avoid frustrating ‘zero hit’ situations.

[1]  Gerry McKiernan Ms.  New Age Navigation , 2008 .

[2]  Theresa Dirndorfer Anderson,et al.  Studying human judgments of relevance: interactions in context , 2006, IIiX.

[3]  Chaomei Chen,et al.  Top 10 Unsolved Information Visualization Problems , 2005, IEEE Computer Graphics and Applications.

[4]  Christine L. Borgman,et al.  Why are Online Catalogs Hard to Use? Lessons Learned from Information=Retrieval Studies , 1986 .

[5]  Peter J. Vigil.  The psychology of online searching , 1983, J. Am. Soc. Inf. Sci..

[6]  Christine L. Borgman.  Individual differences in the use of information retrieval systems: Some issues and some data. , 1987, SIGIR 1987.

[7]  Carol L. Barry.  User-defined relevance criteria: an exploratory study , 1994 .

[8]  Pertti Vakkari,et al.  Task complexity, problem structure and information actions - Integrating studies on information seeking and retrieval , 1999, Inf. Process. Manag..

[9]  Yukio Hori,et al.  Extension models of Cone Tree Visualizations to Large scale Knowledge base with Semantic Relations , 2006 .

[10]  Donald T. Hawkins,et al.  Online Bibliographic Search Strategy Development. , 1982 .

[11]  Stephen P. Harter,et al.  Online Information Retrieval: Concepts, Principles and Techniques , 1986 .

[12]  Gary Marchionini,et al.  Information Seeking in Electronic Environments , 1995 .

[13]  Marti A. Hearst.  Search User Interfaces , 2009 .

[14]  Jock D. Mackinlay,et al.  Cone Trees: animated 3D visualizations of hierarchical information , 1991, CHI.

[15]  Marti A. Hearst.  UIs for Faceted Navigation Recent Advances and Remaining Open Problems , 2008 .

[16]  Marcia J. Bates,et al.  Subject access in online catalogs: A design model , 1986 .

[17]  Marcia J. Bates,et al.  The design of browsing and berrypicking techniques for the online search interface , 1989 .

[18]  Pertti Vakkari,et al.  Cognition and changes of search terms and tactics during task performance: A longitudinal case study , 2000, RIAO.

[19]  Charles T. Meadow,et al.  Basics of online searching , 1981 .

[20]  Javed Mostafa,et al.  Information Retrieval by Semantic Analysis and Visualization of the Concept Space of D-Lib Magazine , 2002, D Lib Mag..

[21]  Sara Irina Fabrikant,et al.  Spatialized Browsing in Large Data Archives , 2000, Trans. GIS.