Visualization for information retrieval:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2008
|
| Schriftenreihe: | The information retrieval series
23 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | X, 292 S. graph. Darst. |
| ISBN: | 9783540751472 9783540751489 3540751475 |
Internformat
MARC
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| 020 | |a 9783540751489 |9 978-3-540-75148-9 | ||
| 020 | |a 3540751475 |c Gb. : EUR 74.85 (freier Pr.), sfr 122.00 (freier Pr.) |9 3-540-75147-5 | ||
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| 100 | 1 | |a Zhang, Jin |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Visualization for information retrieval |c Jin Zhang |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2008 | |
| 300 | |a X, 292 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a The information retrieval series |v 23 | |
| 650 | 7 | |a Information storage and retrieval |2 gtt | |
| 650 | 7 | |a Visualisatie |2 gtt | |
| 650 | 4 | |a Information visualization | |
| 650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Visualisierung |0 (DE-588)4188417-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Information Retrieval |0 (DE-588)4072803-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Information |0 (DE-588)4026899-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Information Retrieval |0 (DE-588)4072803-1 |D s |
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| 689 | 1 | 1 | |a Visualisierung |0 (DE-588)4188417-6 |D s |
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| 830 | 0 | |a The information retrieval series |v 23 |w (DE-604)BV024629453 |9 23 | |
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Datensatz im Suchindex
| _version_ | 1804137118659772416 |
|---|---|
| adam_text | Contents
Chapter
1 Information
Retrieval and Visualization
...........................................1
1.1
Visualization
................................................................................................3
1.1.1
Definition
............................................................................................3
1.1.2
Scientific visualization and information visualization
........................3
1.2
Information retrieval
....................................................................................4
1.2.1
Browsing vs. query searching
.............................................................5
1.2.2
Information at micro-level and macro-level
.......................................7
1.2.3
Spatial characteristics
ofinformation
space
.......................................8
1.2.4
Spatial characteristics ofbrowsing
...................................................10
1.3
Perceptual and cognitive perspectives of visualization
..............................11
1.3.1
Perceptual perspective
......................................................................11
1.3.2
Cognitive perspective
.......................................................................12
1.4
Visualization for information retrieval
......................................................13
1.4.1
Rationale
...........................................................................................13
1.4.2
Three information retrieval visualization paradigms
........................16
1.4.3
Procedures of establishing an information retrieval
visualization model
...........................................................................16
1.5
Summary
....................................................................................................20
Chapter
2
Information Retrieval Preliminaries
...............................................21
2.1
Vector space model
....................................................................................22
2.2
Term weighting methods
...........................................................................24
2.2.1
Stop words
........................................................................................25
2.2.2
Inverse document frequency
.............................................................25
2.2.3
The
Saltón
term weighting method
...................................................26
2.2.4
Another tentn weighting method
.......................................................26
2.2.5
Probability term weighting method
..................................................26
XIV Contents
2.3
Similarity measures
....................................................................................27
2.3.1
Inner product similarity measure
......................................................28
2.3.2
Dice co-efficient similarity measure
.................................................28
2.3.3
The Jaccard co-efficient similarity measure
.....................................28
2.3.4
Overlap co-efficient similarity measure
............................................29
2.3.5
Cosine similarity measure
.................................................................29
2.3.6
Distance similarity measure
..............................................................30
2.3.7
Angle-distance integrated similarity measure
...................................32
2.3.8
The Pearson
r
correlation measure
....................................................33
2.4
Information retrieval (evaluation) models
.................................................34
2.4.1
Direction-based retrieval (evaluation) model
...................................34
2.4.2
Distance-based retrieval (evaluation) model
....................................35
2.4.3
Ellipse retrieval (evaluation) model
..................................................36
2.4.4
Conjunction retrieval (evaluation) model
.........................................36
2.4.5
Disjunction evaluation model
...........................................................38
2.4.6
The
Cassini oval
retrieval (evaluation) model
..................................39
2.5
Clustering algorithms
.................................................................................40
2.5.1
Non-
hierarchical clustering algorithm
.............................................42
2.5.2
Hierarchical clustering algorithm
.....................................................43
2.6
Evaluation of retrieval results
....................................................................45
2.7
Summary
....................................................................................................46
Chapter
3
Visualization Models for Multiple Reference Points
......................47
3.1
Multiple reference points
...........................................................................48
3.2
Model for fixed multiple reference points
.................................................49
3.3
Models for movable multiple reference points
..........................................52
3.3.1
Description of the original VIBE algorithm
.....................................52
3.3.2
Discussions about the model
.............................................................59
3.4
Model for automatic reference point rotation
............................................66
3.4.1
Definition of the visual space
...........................................................67
3.4.2
Rotation of a reference point
............................................................69
3.5
Implication of information retrieval
...........................................................70
3.6
Summary
....................................................................................................72
Chapter
4
Euclidean Spatial Characteristic Based Visualization Models
.........73
4.1
Euclidean space and its characteristics
......................................................73
4.2
Introduction to the information retrieval evaluation models
......................75
4.3
The distance-angle-based visualization model
...........................................79
4.3.1
The visual space definition
...............................................................79
4.3.2
Visualization for information retrieval evaluation models
...............81
4.4
The angle-angle-based visualization model
...............................................88
4.4.1
The visual space definition
...............................................................88
4.4.2
Visualization for information retrieval evaluation models
...............89
4.5
The distance-distance-based visualization model
......................................97
4.5.1
The visual space definition
...............................................................97
4.5.2
Visualization for information retrieval evaluation models
...............99
4.6
Summary
..................................................................................................104
Contents
XV
Chapter
5 Kohonen
Self-Organizing
Map-An
Artificial Neural Network
__107
5.1
Introduction to neural networks
...............................................................107
5.1.1
Definition of neural network
..........................................................108
5.1.2
Characteristics and structures of neuron network
...........................109
5.2
Kohonen self-organizing maps
................................................................
Ill
5.2.1
Kohonen self-organizing map structures
........................................112
5.2.2
Learning processing of the
SOM
algorithm
....................................113
5.2.3
Feature map labeling
......................................................................119
5.2.4
The
SOM
algorithm description
......................................................120
5.3
Implication of the SOMin information retrieval
.....................................121
5.4
Summary
..................................................................................................124
Chapter
6
Pathfinder Associative Network
.....................................................127
6.1
Pathfinder associative network properties and descriptions
....................128
6.1.1
Definitions of concepts and explanations
.......................................128
6.1.2
The algorithm description
...............................................................131
6.1.3
Graph layout method
......................................................................136
6.2
Implications on information retrieval
......................................................137
6.2.1
Author co-citation analysis
.............................................................137
6.2.2
Term associative network
...............................................................139
6.2.3
Hyperlink
........................................................................................140
6.2.4
Search in Pathfinder associative networks
......................................141
6.3
Summary
..................................................................................................142
Chapter
7
Multidimensional Scaling
...............................................................143
7.1
MDS analysis method descriptions
..........................................................144
7.1.1
Classical MDS
................................................................................144
7.1.2
Non-metric MDS
............................................................................151
7.1.3
Metric MDS
....................................................................................157
7.2
Implications
οι
MDS techniques for information retrieval
......................158
7.2.1
Definitions of displayed objects and proximity between objects
... 158
7.2.2
Exploration in a MDS display space
...............................................160
7.2.3
Discussion
......................................................................................161
7.3
Summary
..................................................................................................163
Chapter
8
Internet Information Visualization
................................................165
8.1
Introduction
.............................................................................................165
8.1.1
Internet characteristics
....................................................................165
8.1.2
Internet information organization and presentation methods
.........166
8.1.3
Internet information utilization
.......................................................168
8.1.4
Challenges of the internet
...............................................................170
8.2
Internet information visualization
............................................................171
8.2.1
Visualization of internet information structure
...............................172
8.2.2
Internet information seeking visualization
.....................................180
XVI Contents
8.2.3
Visualization of web traffic information
.........................................183
8.2.4
Discussion history visualization
.....................................................188
8.3
Summary
..................................................................................................189
Chapter
9
Ambiguity in Information Visualization
.......................................191
9.1
Ambiguity and its implication in information visualization
....................192
9.1.1
Reason of ambiguity in information visualization
..........................192
9.1.2
Implication of ambiguity for information visualization
..................193
9.2
Ambiguity analysis in information retrieval visualization models
..........194
9.2.1
Ambiguity in the Euclidean spatial characteristic based
information models
.........................................................................194
9.2.2
Ambiguity in the multiple reference point based information
visualization models
.......................................................................202
9.2.3
Ambiguity in the Pathfinder network
.............................................207
9.2.4
Ambiguity in
SOM.
.........................................................................209
9.2.5
Ambiguity in MDS
..........................................................................210
9.3
Summary
..................................................................................................211
Chapter
10
The Implication of Metaphors in Information Visualization
........215
10.1
Definition, basic elements, and characteristics of ametaphor
...............215
10.2
Cognitive foundation of metaphors
........................................................218
10.3
Mental models, metaphors, and human computer interaction
................219
10.3.1
Metaphors in human computer interaction
..................................219
10.3.2
Mental models
.............................................................................220
10.3.3
Mental models in HCI
.................................................................220
10.4
Metaphors in information visualization retrieval
...................................223
10.4.1
Rationales for using metaphors
...................................................223
10.4.2
Metaphorical information retrieval visualization
environments
..............................................................................225
10.5
Procedures and principles for metaphor application
..............................231
10.5.1
Procedure for metaphor application
............................................231
10.5.2
Guides for designing a good metaphorical visual information
retrieval environment
..................................................................232
10.6
Summary
................................................................................................236
Chapter
11
Benchmarks and Evaluation Criteria for Information
Retrieval Visualization
......................................................................................239
11.1
Information retrieval visualization evaluation
.......................................239
11.2
Benchmarks and evaluation standards
...................................................243
11.2.1
Factors affecting evaluation standards
........................................243
11.2.2
Principles for developing evaluation benchmarks
.......................244
11.2.3
Four proposed categories for evaluation criteria
.........................244
11.2.4
Descriptions of proposed benchmarks
........................................246
11.3
Summary
................................................................................................253
Contents XVII
Chapter
12
Afterthoughts
.................................................................................255
12.1
Introduction
...........................................................................................255
12.2
Comparisons of the introduced visualization models
............................257
12.3
Issues and challenges
.............................................................................260
12.4
Summary
................................................................................................268
Bibliography
......................................................................................................269
Index
...................................................................................................................287
|
| adam_txt |
Contents
Chapter
1 Information
Retrieval and Visualization
.1
1.1
Visualization
.3
1.1.1
Definition
.3
1.1.2
Scientific visualization and information visualization
.3
1.2
Information retrieval
.4
1.2.1
Browsing vs. query searching
.5
1.2.2
Information at micro-level and macro-level
.7
1.2.3
Spatial characteristics
ofinformation
space
.8
1.2.4
Spatial characteristics ofbrowsing
.10
1.3
Perceptual and cognitive perspectives of visualization
.11
1.3.1
Perceptual perspective
.11
1.3.2
Cognitive perspective
.12
1.4
Visualization for information retrieval
.13
1.4.1
Rationale
.13
1.4.2
Three information retrieval visualization paradigms
.16
1.4.3
Procedures of establishing an information retrieval
visualization model
.16
1.5
Summary
.20
Chapter
2
Information Retrieval Preliminaries
.21
2.1
Vector space model
.22
2.2
Term weighting methods
.24
2.2.1
Stop words
.25
2.2.2
Inverse document frequency
.25
2.2.3
The
Saltón
term weighting method
.26
2.2.4
Another tentn weighting method
.26
2.2.5
Probability term weighting method
.26
XIV Contents
2.3
Similarity measures
.27
2.3.1
Inner product similarity measure
.28
2.3.2
Dice co-efficient similarity measure
.28
2.3.3
The Jaccard co-efficient similarity measure
.28
2.3.4
Overlap co-efficient similarity measure
.29
2.3.5
Cosine similarity measure
.29
2.3.6
Distance similarity measure
.30
2.3.7
Angle-distance integrated similarity measure
.32
2.3.8
The Pearson
r
correlation measure
.33
2.4
Information retrieval (evaluation) models
.34
2.4.1
Direction-based retrieval (evaluation) model
.34
2.4.2
Distance-based retrieval (evaluation) model
.35
2.4.3
Ellipse retrieval (evaluation) model
.36
2.4.4
Conjunction retrieval (evaluation) model
.36
2.4.5
Disjunction evaluation model
.38
2.4.6
The
Cassini oval
retrieval (evaluation) model
.39
2.5
Clustering algorithms
.40
2.5.1
Non-
hierarchical clustering algorithm
.42
2.5.2
Hierarchical clustering algorithm
.43
2.6
Evaluation of retrieval results
.45
2.7
Summary
.46
Chapter
3
Visualization Models for Multiple Reference Points
.47
3.1
Multiple reference points
.48
3.2
Model for fixed multiple reference points
.49
3.3
Models for movable multiple reference points
.52
3.3.1
Description of the original VIBE algorithm
.52
3.3.2
Discussions about the model
.59
3.4
Model for automatic reference point rotation
.66
3.4.1
Definition of the visual space
.67
3.4.2
Rotation of a reference point
.69
3.5
Implication of information retrieval
.70
3.6
Summary
.72
Chapter
4
Euclidean Spatial Characteristic Based Visualization Models
.73
4.1
Euclidean space and its characteristics
.73
4.2
Introduction to the information retrieval evaluation models
.75
4.3
The distance-angle-based visualization model
.79
4.3.1
The visual space definition
.79
4.3.2
Visualization for information retrieval evaluation models
.81
4.4
The angle-angle-based visualization model
.88
4.4.1
The visual space definition
.88
4.4.2
Visualization for information retrieval evaluation models
.89
4.5
The distance-distance-based visualization model
.97
4.5.1
The visual space definition
.97
4.5.2
Visualization for information retrieval evaluation models
.99
4.6
Summary
.104
Contents
XV
Chapter
5 Kohonen
Self-Organizing
Map-An
Artificial Neural Network
_107
5.1
Introduction to neural networks
.107
5.1.1
Definition of neural network
.108
5.1.2
Characteristics and structures of neuron network
.109
5.2
Kohonen self-organizing maps
.
Ill
5.2.1
Kohonen self-organizing map structures
.112
5.2.2
Learning processing of the
SOM
algorithm
.113
5.2.3
Feature map labeling
.119
5.2.4
The
SOM
algorithm description
.120
5.3
Implication of the SOMin information retrieval
.121
5.4
Summary
.124
Chapter
6
Pathfinder Associative Network
.127
6.1
Pathfinder associative network properties and descriptions
.128
6.1.1
Definitions of concepts and explanations
.128
6.1.2
The algorithm description
.131
6.1.3
Graph layout method
.136
6.2
Implications on information retrieval
.137
6.2.1
Author co-citation analysis
.137
6.2.2
Term associative network
.139
6.2.3
Hyperlink
.140
6.2.4
Search in Pathfinder associative networks
.141
6.3
Summary
.142
Chapter
7
Multidimensional Scaling
.143
7.1
MDS analysis method descriptions
.144
7.1.1
Classical MDS
.144
7.1.2
Non-metric MDS
.151
7.1.3
Metric MDS
.157
7.2
Implications
οι
MDS techniques for information retrieval
.158
7.2.1
Definitions of displayed objects and proximity between objects
. 158
7.2.2
Exploration in a MDS display space
.160
7.2.3
Discussion
.161
7.3
Summary
.163
Chapter
8
Internet Information Visualization
.165
8.1
Introduction
.165
8.1.1
Internet characteristics
.165
8.1.2
Internet information organization and presentation methods
.166
8.1.3
Internet information utilization
.168
8.1.4
Challenges of the internet
.170
8.2
Internet information visualization
.171
8.2.1
Visualization of internet information structure
.172
8.2.2
Internet information seeking visualization
.180
XVI Contents
8.2.3
Visualization of web traffic information
.183
8.2.4
Discussion history visualization
.188
8.3
Summary
.189
Chapter
9
Ambiguity in Information Visualization
.191
9.1
Ambiguity and its implication in information visualization
.192
9.1.1
Reason of ambiguity in information visualization
.192
9.1.2
Implication of ambiguity for information visualization
.193
9.2
Ambiguity analysis in information retrieval visualization models
.194
9.2.1
Ambiguity in the Euclidean spatial characteristic based
information models
.194
9.2.2
Ambiguity in the multiple reference point based information
visualization models
.202
9.2.3
Ambiguity in the Pathfinder network
.207
9.2.4
Ambiguity in
SOM.
.209
9.2.5
Ambiguity in MDS
.210
9.3
Summary
.211
Chapter
10
The Implication of Metaphors in Information Visualization
.215
10.1
Definition, basic elements, and characteristics of ametaphor
.215
10.2
Cognitive foundation of metaphors
.218
10.3
Mental models, metaphors, and human computer interaction
.219
10.3.1
Metaphors in human computer interaction
.219
10.3.2
Mental models
.220
10.3.3
Mental models in HCI
.220
10.4
Metaphors in information visualization retrieval
.223
10.4.1
Rationales for using metaphors
.223
10.4.2
Metaphorical information retrieval visualization
environments
.225
10.5
Procedures and principles for metaphor application
.231
10.5.1
Procedure for metaphor application
.231
10.5.2
Guides for designing a good metaphorical visual information
retrieval environment
.232
10.6
Summary
.236
Chapter
11
Benchmarks and Evaluation Criteria for Information
Retrieval Visualization
.239
11.1
Information retrieval visualization evaluation
.239
11.2
Benchmarks and evaluation standards
.243
11.2.1
Factors affecting evaluation standards
.243
11.2.2
Principles for developing evaluation benchmarks
.244
11.2.3
Four proposed categories for evaluation criteria
.244
11.2.4
Descriptions of proposed benchmarks
.246
11.3
Summary
.253
Contents XVII
Chapter
12
Afterthoughts
.255
12.1
Introduction
.255
12.2
Comparisons of the introduced visualization models
.257
12.3
Issues and challenges
.260
12.4
Summary
.268
Bibliography
.269
Index
.287 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Zhang, Jin |
| author_facet | Zhang, Jin |
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| author_sort | Zhang, Jin |
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| dewey-full | 006.6 |
| dewey-hundreds | 000 - Computer science, information, general works |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
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| id | DE-604.BV022863564 |
| illustrated | Illustrated |
| index_date | 2024-07-02T18:44:37Z |
| indexdate | 2024-07-09T21:07:13Z |
| institution | BVB |
| isbn | 9783540751472 9783540751489 3540751475 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016068761 |
| oclc_num | 191889970 |
| open_access_boolean | |
| owner | DE-703 DE-12 DE-521 DE-20 DE-634 DE-92 |
| owner_facet | DE-703 DE-12 DE-521 DE-20 DE-634 DE-92 |
| physical | X, 292 S. graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| series | The information retrieval series |
| series2 | The information retrieval series |
| spelling | Zhang, Jin Verfasser aut Visualization for information retrieval Jin Zhang Berlin [u.a.] Springer 2008 X, 292 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier The information retrieval series 23 Information storage and retrieval gtt Visualisatie gtt Information visualization Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Visualisierung (DE-588)4188417-6 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf Information (DE-588)4026899-8 gnd rswk-swf Information Retrieval (DE-588)4072803-1 s Visualisierung (DE-588)4188417-6 s DE-604 Information (DE-588)4026899-8 s Neuronales Netz (DE-588)4226127-2 s The information retrieval series 23 (DE-604)BV024629453 23 Digitalisierung BSBMuenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016068761&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zhang, Jin Visualization for information retrieval The information retrieval series Information storage and retrieval gtt Visualisatie gtt Information visualization Neuronales Netz (DE-588)4226127-2 gnd Visualisierung (DE-588)4188417-6 gnd Information Retrieval (DE-588)4072803-1 gnd Information (DE-588)4026899-8 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4188417-6 (DE-588)4072803-1 (DE-588)4026899-8 |
| title | Visualization for information retrieval |
| title_auth | Visualization for information retrieval |
| title_exact_search | Visualization for information retrieval |
| title_exact_search_txtP | Visualization for information retrieval |
| title_full | Visualization for information retrieval Jin Zhang |
| title_fullStr | Visualization for information retrieval Jin Zhang |
| title_full_unstemmed | Visualization for information retrieval Jin Zhang |
| title_short | Visualization for information retrieval |
| title_sort | visualization for information retrieval |
| topic | Information storage and retrieval gtt Visualisatie gtt Information visualization Neuronales Netz (DE-588)4226127-2 gnd Visualisierung (DE-588)4188417-6 gnd Information Retrieval (DE-588)4072803-1 gnd Information (DE-588)4026899-8 gnd |
| topic_facet | Information storage and retrieval Visualisatie Information visualization Neuronales Netz Visualisierung Information Retrieval Information |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016068761&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV024629453 |
| work_keys_str_mv | AT zhangjin visualizationforinformationretrieval |