Visualization for Information Retrieval

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Springer Science & Business Media, Nov 24, 2007 - Computers - 294 pages
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The amount of digitized information available on the Internet, in digital libraries, and other forms of information systems grows at an exponential rate, while becoming more complex and more dynamic. As a consequence, information organization, information retrieval and the presentation of retrieval results have become more and more difficult.

Information visualization offers a unique method to reveal hidden patterns and contextual information in a visual presentation and allows users to seek information in an intuitive way. Jin Zhang provides a systematic explanation of the latest advancements in information retrieval visualization from both theoretical and practical perspectives. He reviews the main approaches and techniques available in the field, explains theoretical relationships between information retrieval and information visualization, and presents major information retrieval visualization algorithms and models. He then takes a detailed look at the theory and applications of information retrieval visualization for Internet traffic analysis, and Internet information searching and browsing. The author also addresses challenges such as ambiguity, metaphorical applications, and system evaluation in information retrieval visualization environments. Finally, he compares these information retrieval visualization models from the perspectives of visual spaces, semantic frameworks, projection algorithms, ambiguity, and information retrieval, and discusses important issues of information retrieval visualization and research directions for future exploration.

Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems for researchers and professionals, along with technical and theoretical findings and advances made by leading researchers. The book also provides practical details for the implementation of an information retrieval visualization system.

 

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Contents

Information Retrieval and Visualization
1
11 Visualization
3
12 Information retrieval
4
121 Browsing vs query searching
5
122 Information at microlevel and macrolevel
7
123 Spatial characteristics of information space
8
124 Spatial characteristics of browsing
10
13 Perceptual and cognitive perspectives of visualization
11
524 The SOM algorithm description
120
53 Implication of SOM in information retrieval
121
54 Summary
124
Pathfinder Associative Network
127
61 Pathfinder associative network properties and descriptions
128
612 The algorithm description
131
613 Graph layout method
136
62 Implications on information retrieval
137

132 Cognitive perspective
12
14 Visualization for information retrieval
13
142 Three information retrieval visualization paradigms
16
15 Summary
20
Information Retrieval Preliminaries
21
21 Vector space model
22
22 Term weighting methods
24
221 Stop words
25
223 The Salton term weighting method
26
23 Similarity measures
27
231 Inner product similarity measure
28
234 Overlap coefficient similarity measure
29
236 Distance similarity measure
30
237 Angledistance integrated similarity measure
32
238 The Pearson r correlation measure
33
24 Information retrieval evaluation models
34
242 Distancebased retrieval evaluation model
35
243 Ellipse retrieval evaluation model
36
245 Disjunction evaluation model
38
246 The Cassini oval retrieval evaluation model
39
25 Clustering algorithms
40
251 Non hierarchical clustering algorithm
42
252 Hierarchical clustering algorithm
43
26 Evaluation of retrieval results
45
27 Summary
46
Visualization Models for Multiple Reference Points
47
31 Multiple reference points
48
32 Model for fixed multiple reference points
49
33 Models for movable multiple reference points
52
332 Discussions about the model
59
34 Model for automatic reference point rotation
66
341 Definition of the visual space
67
342 Rotation of a reference point
69
35 Implication of information retrieval
70
36 Summary
72
Euclidean Spatial Characteristic Based Visualization Models
73
42 Introduction to the information retrieval evaluation models
75
43 The distanceanglebased visualization model
79
432 Visualization for information retrieval evaluation models
81
44 The angleanglebased visualization model
88
442 Visualization for information retrieval evaluation models
89
45 The distancedistancebased visualization model
97
452 Visualization for information retrieval evaluation models
99
46 Summary
104
Kohonen SelfOrganizing MapAn Artificial Neural Network
106
511 Definition of neural network
108
512 Characteristics and structures of neuron network
109
52 Kohonen selforganizing maps
111
521 Kohonen selforganizing map structures
112
522 Learning processing of SOM algorithm
113
523 Feature map labeling
119
622 Term associative network
139
623 Hyperlink
140
624 Search in pathfinder associative networks
141
63 Summary
142
Multidimensional Scaling
143
71 MDS analysis method descriptions
144
712 Nonmetric MDS
151
72 Implications of MDS techniques for information retrieval
158
722 Exploration in a MDS display space
160
723 Discussion
161
73 Summary
163
Internet Information Visualization
164
812 Internet information organization and presentation methods
166
813 Internet information utilization
168
814 Challenges of the internet
170
82 Internet information visualization
171
821 Visualization of internet information structure
172
822 Internet information seeking visualization
180
823 Visualization of web traffic information
183
824 Discussion history visualization
188
83 Summary
189
Ambiguity in Information Visualization
191
91 Ambiguity and its implication in information visualization
192
912 Implication of ambiguity for information visualization
193
92 Ambiguity analysis in information retrieval visualization models
194
922 Ambiguity in the multiple reference point based information visualization models
202
923 Ambiguity in the pathfinder network
207
924 Ambiguity in SOM
209
925 Ambiguity in MDS
210
93 Summary
211
The Implication of Metaphors in Information Visualization
214
102 Cognitive foundation of metaphors
218
103 Mental models metaphors and human computer interaction
219
1032 Mental models
220
104 Metaphors in information visualization retrieval
223
1042 Metaphorical information retrieval visualization environments
225
105 Procedures and principles for metaphor application
231
1052 Guides for designing a good metaphorical visual information retrieval environment
232
106 Summary
236
Benchmarks and Evaluation Criteria for Information Retrieval Visualization
239
112 Benchmarks and evaluation standards
243
1122 Principles for developing evaluation benchmarks
244
1124 Descriptions of proposed benchmarks
246
113 Summary
253
Afterthoughts
255
122 Comparisons of the introduced visualization models
257
123 Issues and challenges
260
124 Summary
268
Bibliography
269
Index
286
Copyright

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Popular passages

Page 271 - Internet Categorization and Search: A Self-Organizing Approach. Journal of Visual Communication and Image Representation, 7(1) (pp.
Page 278 - Oops: a Toolkit Supporting Mediation Techniques for Resolving Ambiguity in Recognition-based Interfaces", Computers and Graphics 24(6), pp.
Page 275 - Shneiderman, B. (2001). Using interactive visualizations of WWW log data to characterize access patterns and inform site design.
Page 284 - The implications of visualization ability and structure preview design for web information search tasks.
Page 274 - Wilson BA (1991). Integrating query, thesaurus, and documents through a common visual representation. Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval'91, October 13-16, 1991, Chicago, Illinois.

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