Please wait a minute...
New Technology of Library and Information Service  2005, Vol. 21 Issue (4): 10-13    DOI: 10.11925/infotech.1003-3513.2005.04.03
article Current Issue | Archive | Adv Search |
Study on Principle of Information Retrieval Visualization for World Wide Web
Wen Yanping
(School of Business, Shanghai Normal University, Shanghai 200234, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

Among the wide range of information retrieval visualization systems, the basic process of its implementation is yet neglected. Based on the analysis of different information retrieval visualization systems, the process of the design and implementation of information retrieval visualization is described, including the visualized object and virtual structure, visual mapping, visual information space, and rendering. Visualization of information retrieval is for aiding with the information retrieval, which  is the principle for the implementation.

Key wordsWWW      Information retrieval      Information visualization      Principle     
Received: 18 November 2004      Published: 25 April 2005
: 

G252.7

 
Corresponding Authors: Wen Yanping     E-mail: ypwen@shnu.edu.cn
About author:: Wen Yanping

Cite this article:

Wen Yanping. Study on Principle of Information Retrieval Visualization for World Wide Web. New Technology of Library and Information Service, 2005, 21(4): 10-13.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2005.04.03     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2005/V21/I4/10

1 Misook Heo, Stephen C. Hirtle. An Empirical Comparison of Visualization Tools to Assist Information Retrieval on the Web. Journal of the American Society for Information Science and Technology, 2001(8):666-675
2 Peter Dmel. WebMap: a graphical hypertext navigation tool. Computer Networks and ISDN Systems,1995(1):85-97
3 Stutart K. Card, George G. Roberston and William York. The WebBook and the Web Forager: An Information Workspace for the World-Wide Web. Proceedings of CHI’96, ACM Press,pp.111-117
4 http://www.cnnic.net.cn  (Accessed Apr. 6, 2004)
5 Matthew Chalmers,Paul Chitson.Bead:explorations in information visualization.Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval.1992:330-337
6 Kim, H., & Korfhage, R.R. BIRD: Browsing interface for theretrieval of documents. Proceedings of the 1994 IEEE Symposium on Visual Languages, St. Louis, MO.1994:176-177
7 A. M. Pejtersen.A library system for information retrieval based on a cognitive task analysis and supported by an icon-based interface.Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval.1989:40-47
8 Crouch, D., & Korfhage, RR.The use of visual representations in information retrieval applications.In T. Ichikawa, E. Jungert, & R.R.Korfhage (Eds.), Visual languages and applications.1990:305-326
9 Heath, L.S. et al. Envision: A user-centered database of computer science literature. Communications of the ACM, 38, 4 (April 1995):52-53 
10 Degi Young,Ben Shneiderman. A graphical filter/flow representation of Boolean queries: a prototype implementation and evaluation. Journal of the American Society for Information Science archive.1993,44(6):327-339
11 Crow, V.L., Thomas, J.J., et. al. Multidimensional Visualization And Browsing For Intelligence Analysis.Gviz’94: Graphics And Visualization Conference,September 1994
12 Nuchprayoon, Assadaporn & Korfhage, Robert R. GUIDO: A visual tool for retrieving documents. In Proceedings of 1994 IEEE Symposium on Visual Languages:64-71
13 Spoerri, A. InfoCrystal: A visual tool for information retrieval.Proceedings Visualization ’93, San Jose, CA.1993:150-157
14 Mackinlay, J. D., Robertson, G. G. and Card, S. K. The Information Visualizer: A 3D User Interface for Information Retrieval.Advanced Visual Interfaces. 1992:173-179
15 Hemmje, M., C. Kunkel, & A. Willett. LyberWorld – a visualization user interface supporting fultext retrieval. SIGIR’94:249-259
16 Richard H. Fowler. Information retrieval using pathfinder networks.in Pathfinder associative networks: studies in knowledge organization. Ablex Publishing Corp.Norwood, NJ, USA.1990:165-178
17 Lin, X., Soergel, D., and Marchionini, G. A self-organizing semantic map for information retrieval. In Proceedings of the 14th Annual International ACM/SIGIR Conference on Research & Development in Information Retrieval, 1991:262-269
18 Newby,G.B. An investigation of the role of navigation for information retrieval. Proceedings of ASIS’92:20-25
19 Wise, J.A., Thomas, J.J., et. al. Visualizing The Non-Visual: Spatial Analysis And Interaction With Information From Text Documents, in Proceedings of IEEE 95 Information Visualization, October 1995:51-58
20 Hearst, M. TileBars: visualization of term distribution information in full test information access. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, 1995:59-66
21 Weiss-Lijn, M., McDonnell, J. T. and James, L. Visualising Document Content with Metadata to Facilitate Goal-Directed Search. Fifth International Conference on Information Visualization (IV01).2001:71-76
22 Olsen, K.A., R.R. Korfhage, M.B.Spring, K.M. Sochats, & J.G. Williams. Visualization of a document collection: The VIBE system. Information Processing & Management 1993,29(1): 69-81
23 Whiting, M. A. & Cramer, N. WebThemeTM: Understanding Web Information Through Visual Analytics.In J.Hartmanis, G. Goos, & J. van Leeuwen (Eds.), Lecture Notes in Computer Science. Berlin: Springer-Verlag:460-468
24 http://www.thinkmap.com/architecture.jsp  (Accessed Apr. 8, 2003)
25 http://www.webbrain.com/html/default_win.html  (Accessed Oct. 12, 2002)
26 Michelle Q. Wang Baldonado,Terry Winograd.SenseMaker: an information-exploration interface supporting the contextual evolution of a user’s interests.Proceedings of the SIGCHI conference on Human factors in computing systems. 1997:11-18
27 David A. Nation. WebTOC: a tool to visualize and quantify Web sites using a hierarchical table of contents browser. CHI’98 conference summary on Human factors in computing systems. 1998:185-186
28 P. Doemel. WebMap——A Graphical Hypertext Navigation Tool, Proc. 2nd Int’l Conf. on the WWW, USA, 1994:785-789
29 http://websom.hut.fi/websom/   (Accessed Jun. 12, 2003)
30 H. Chen, A. L. Houston, R. R. Sewell, B. R. Shatz. Internet browsing and searching: user evaluations of category map and concept space techniques, Journal of the American Society of Information Science.1997,49 (7):582-603
31 Card, S.K., Robertson, G.G., & York, W. The WebBook and the Web Forager: An Information Workspace for the World-Wide Web. Proceedings of the ACM/SIGCHI Conference on Human Factors in Computing Systems.1996:111-119
32 Marti Hearst and Chandu Karadi. Cat-a-Cone: An Interactive Interface for Specifying Searches and Viewing Retrieval Results using a Large Category Hierarchy. Proceedings of the 20th Annual International ACM/SIGIR Conference Philadelphia, PA, July,1997:246-255
33 Richard H. Fowler, Bradley A. Wilson, and Wendy A. L. Fowler. Information Navigator: An information system using associative networks for display and retrieval.http://www.cs.panam.edu/research/information_navigator.pdf (Accessed Mar. 23,2003)
34 Emile Morse, Michael Lewis, Kai A. Olsen. Testing visual information retrieval methodologies case study: comparative analysis of textual, icon, graphical, and “spring” displays. Journal of the American Society for Information Science and Technology, 2002(1):28-40
35 Snelgrove, T. A Method for the Analysis of the Structure of narrative Texts. Literary and Linguistic Computing. 1990,5(3):221-225
36 Brunet, E., What Do Statistics Tell Us? Research in Humanities Computing Clarendon Press: Oxford, Vol,1.1991
37 Thomas K. Landauer,Darrell Laham, and Marcia Derr. From paragraph to graph: Latent semantic analysis for information visualization. Proc Natl Acad Sci USA. 2004 April 6; 101(Suppl 1):5214–5219.http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=387298 (Accessed Mar. 24, 2004)
38 Card, S.K. and J. Mackinlay.The Structure of the Information Visualization Design Space.Proc. of the IEEE Symposium on Information Visualization,1997
39 C. Ware. Information Visualization: Perception for Design. Morgan Kaufmann Publishers, 2000
40  http://www.research.att.com/sw/tools/graphviz/   (Accessed Oct. 4,2003)
41 Mutton, P. Rodgers, P. Spring embedder preprocessing for WWW visualization. Information Visualization, 2002. Proceedings. Six International Conference on, 10-12 July 2002:744-749
42 http://www.uwm.edu/~dxie/Lab/visualization_of_structure.htm (Accessed Sep.23, 2003)
43 http://www-id.imag.fr/EGPGV04/SLIDES/delpino.pdf (Accessed Jan.12, 2004)

[1] Huang Mingxuan,Jiang Caoqing,Lu Shoudong. Expanding Queries Based on Word Embedding and Expansion Terms[J]. 数据分析与知识发现, 2021, 5(6): 115-125.
[2] Meng Zhen,Wang Hao,Yu Wei,Deng Sanhong,Zhang Baolong. Vocal Music Classification Based on Multi-category Feature Fusion[J]. 数据分析与知识发现, 2021, 5(5): 59-70.
[3] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[4] Mingxuan Huang,Shoudong Lu,Hui Xu. Cross-Language Information Retrieval Based on Weighted Association Patterns and Rule Consequent Expansion[J]. 数据分析与知识发现, 2019, 3(9): 77-87.
[5] Sun Haixia,Wang Lei,Wu Yingjie,Hua Weina,Li Junlian. Matching Strategies for Institution Names in Literature Database[J]. 数据分析与知识发现, 2018, 2(8): 88-97.
[6] Yang Chaofan,Deng Zhonghua,Peng Xin,Liu Bin. Review of Information Retrieval Research: Case Study of Conference Papers[J]. 数据分析与知识发现, 2017, 1(7): 35-43.
[7] Xie Xiufang,Zhang Xiaolin. Integrated Analysis and Visualization of Sci-Tech Roadmaps: Case Study of Renewable Energy[J]. 数据分析与知识发现, 2017, 1(1): 16-25.
[8] Zhang Xiaojuan,Han Yi. Reviews on Temporal Information Retrieval[J]. 数据分析与知识发现, 2017, 1(1): 3-15.
[9] Huang Mingxuan. Cross Language Information Retrieval Model Based on Matrix-weighted Association Patterns Mining[J]. 数据分析与知识发现, 2017, 1(1): 26-36.
[10] Ding Heng,Lu Wei. Building Standard Literature Knowledge Service System[J]. 现代图书情报技术, 2016, 32(7-8): 120-128.
[11] Heng Ding, Wei Lu. A Study on Correlation-based Cross-Modal Information Retrieval[J]. 现代图书情报技术, 2016, 32(1): 17-23.
[12] Zhang Liyi, Zhang Jiao. A Brusher Detection Method Based on Principle Component Analysis and Random Forest[J]. 现代图书情报技术, 2015, 31(10): 65-71.
[13] Zeng Xinhong, Cai Qinghe, Huang Huajun, Lin Weiming. Research on Non-uniform Node Clustered Graph Layout Algorithm for Visualization Based on Force Directed Model[J]. 现代图书情报技术, 2014, 30(9): 33-43.
[14] Mao Jin, Li Gang, Cao Yujie. Re-rank Retrieval Results Through Subject Indexing[J]. 现代图书情报技术, 2014, 30(7): 48-55.
[15] Yang Ruyi, Liu Dongsu. A Research on Visualization Algorithm of Hierarchy Information Based on Folksonomy[J]. 现代图书情报技术, 2014, 30(7): 71-76.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn