Intuitive Human Interfaces for Organizing and Accessing Intellectual Assets: International Workshop, Dagstuhl Castle, Germany, March 1-5, 2004, Revised

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This book constitutes the thoroughly refereed post-proceedings of the 2004 International Workshop on Intuitive Human Interfaces for Organizing and Accessing Intellectual Assets, held in Dagstuhl Castle, Germany in March 2004.

The 17 revised full papers presented together with an introductory overview have gone through two rounds of reviewing and revision. The papers are organized in topical sections on man-machine interface for intuitive knowledge access, intelligent pad and meme media, visualization and design of information access spaces, and semantics and narrative organization and access of knowledge.

Author(s): Gunter Grieser, Yuzuru Tanaka
Series: Lecture Notes in Artificial Intelligence 3359
Edition: 1
Publisher: Springer
Year: 2004

Language: English
Pages: 270

Front matter......Page 1
3359p.pdf......Page 0
Foreword......Page 5
Preface......Page 9
Organization......Page 11
Table of Contents......Page 13
1 Introduction......Page 15
3 Goal Change of the Users......Page 16
4 Dynamic Evolution of Knowledge......Page 18
5 Knowledge Evolution......Page 19
6 Knowledge Liquidization and Crystallization......Page 20
7 Knowledge Nebula Crystallizer to Enable the Knowledge Liquidization and Crystallization......Page 21
8 An Example of a Knowledge Nebula Crystallizer......Page 25
References......Page 26
1 Introduction......Page 28
2 Sample Applications......Page 30
2.1 Browsing Census Records......Page 31
2.2 C3W: Capturing and Reusing Web-Application Behaviour......Page 35
2.3 TopicaBrush: Dynamic Exploration of Relational-Data Subsets......Page 37
2.4 HIBench: Browsing Relationships in Multi-attribute Data......Page 39
2.5 ScheduleBlender: Tailoring in the Face of Ambiguous Context......Page 41
3 Related Work......Page 43
4 Future: Recipe-Based Exploration......Page 44
References......Page 45
1 Introduction......Page 47
2 Scrolling Text and Navigation Interface Using Colored Letter......Page 48
3 Eye Movement Model in Reading Japanese......Page 50
3.1 Foveated Vision......Page 51
3.2 Short-Term Memory......Page 52
3.3 Eye Movement Model in Which the Viewpoint Moves Backward......Page 53
4 Simulating Eye Movement Based on Navigation......Page 54
5 Measuring Human Eye Movement Based on Navigation......Page 58
6 Training and Reading Speed......Page 60
References......Page 61
1 Introduction......Page 63
2 Component Based Motion Editing Environment......Page 65
2.2 Editing of Multiple Key-Poses......Page 66
2.3 Mechanism of Motion Generation......Page 67
3.1.2 Mapping Scheme for Puppet Motion Control......Page 68
3.2 Motion Generation Using Marionette Metaphor......Page 69
3.2.1 Motion Effect of Gravity Field......Page 70
3.2.3 Motion Effect of Ground Contact Constraint......Page 71
3.2.4 Walking Motion Generation......Page 72
4.2 Similarity Search of Motion Data......Page 73
4.2.2 Spatial Quantization for Symbolic Representation of Motion Data......Page 74
4.2.3 Spatial Occurrence Probability......Page 75
4.2.4 Similarity Measure......Page 76
4.4 Experiments......Page 77
4.5 Discussion......Page 78
5 Concluding Remarks......Page 79
References......Page 80
1 Introduction and Motivation......Page 82
2 Peculiarities of the Application Domain......Page 83
3 Therapy Plan Generation and Execution Scenarios......Page 85
4 Medical Therapy Memes and Meme Pools......Page 86
4.1 Basic Therapy Knowledge......Page 87
4.2 Composite Plan Knowledge......Page 88
5.1 IntelligentPad Technology for the Access to Patient Data......Page 90
5.2 IntelligentPad Technology for Environmental Embedding......Page 91
5.3 IntelligentPad Technology to Represent Therapy Knowledge......Page 92
6 Automatic Planning and Knowledge Manipulation......Page 95
7 Meme Media Evolution Technologies......Page 97
8 Summary and Conclusions......Page 99
Appendix: The Integration Process of a Patient into a Randomized Clinical Trial in Detail......Page 100
1 Introduction......Page 102
2.1 Topica Framework......Page 103
2.3 Data Model in Relational Annotation Framework......Page 104
3.1 Organizing Resources......Page 106
3.3 Communication with Annotation Servers......Page 107
4.1 Navigation Among Annotated Documents......Page 108
4.3 Accessing Related Web Resources......Page 109
5 Related Works......Page 110
References......Page 111
1 Motivation of a Seemingly Esoteric Discussion......Page 113
2 Perspectives at the Biotope Issue......Page 115
3.2 Software Paradigms and Implementation Principles......Page 116
3.4 Embedding IntelligentPad into Application Environments......Page 117
3.5 Domains of Evolving Externalized Knowledge......Page 118
4 Perspectives at Knowledge and Human Learning......Page 119
5 Summary and Conclusions......Page 120
References......Page 121
1 Introduction......Page 122
2.1 Why Meme Media?......Page 123
2.2 How Meme Media Change the Reuse of Web Contents?......Page 124
2.3 Frequently Asked Questions on Meme Media Technologies......Page 126
2.4 Related Research......Page 127
3.1 IntelligentPad and IntelligentBox as Basic Meme Media Systems......Page 128
4.1 Extraction and Reediting of Web Contents......Page 129
4.2 Direct Editing of HTML Views......Page 131
4.3 Automatic Generation of Default Slots......Page 132
4.4 Visual Definition of Slots for Extracted Web Contents......Page 134
5.2 Composition with More Than One Wrapped Web Application......Page 135
6 Redistribution and Publication of Meme Media Objects as Web Contents......Page 136
References......Page 139
1 Introduction......Page 141
3 Designing Display Methods Based on Vision Psychology......Page 143
4 Screen Update During Saccade......Page 144
4.1 Computer Display and Saccadic Suppression......Page 145
4.2 Results......Page 147
5.1 General Aspect of Speed Reading......Page 148
5.2 Experiments......Page 150
5.3 Results......Page 151
5.4 Discussion......Page 153
6 Concluding Remarks......Page 154
References......Page 155
1 Introduction......Page 156
2.1 Multi-facet Information Access......Page 157
2.2 Mapping of Database Elements to 3D Objects......Page 160
3 Component-Based Framework......Page 161
3.1 3D Visualization of Database Records......Page 162
3.2 Facet Object......Page 163
3.3 Multi-facet Component......Page 165
4.1 Navigation Through Different Spaces......Page 166
4.3 Example Navigation......Page 167
4.4 Experiments......Page 169
5 Conclusion......Page 171
References......Page 172
1 Introduction......Page 173
2.1 Visualization View......Page 175
2.2 Operators......Page 177
2.3 Visualization Examples......Page 178
3.1 Web View Relations......Page 180
3.2 User Interface for Specifying Web Wrappers......Page 182
3.3 Visualization Example Integrated with Web Resources......Page 183
3.4 Wrapping Web Applications......Page 184
4 Implementation......Page 186
6 Concluding Remarks......Page 187
References......Page 188
1 Introduction......Page 189
2.1 The Notion of Context......Page 192
3.1 Implicit Relationships Between Descriptors Through Objects......Page 193
3.2 Implicit Relationships Between Objects Through Facets......Page 196
4 Concluding Remarks......Page 201
References......Page 202
1 Introduction......Page 203
2 Annotation and Annotation Systems......Page 204
3 A Semantic Annotation Model......Page 207
4 Implementation......Page 211
5 Conclusion......Page 212
References......Page 213
1 Introduction......Page 215
2.1 About Concepts and Knowledge......Page 217
2.2 Problems of Matching User Questions at the Categorical Level......Page 218
2.3 Inferences on Categorical Knowledge......Page 219
3.1 Scientific Knowledge......Page 220
3.2 CRISATEL and Art Conservation......Page 221
3.3 The CRISATEL Handbook Model......Page 222
3.4 User Interface Issues......Page 223
4 Related Work......Page 225
References......Page 227
1 Introduction......Page 229
2.1 Video Recorder Example......Page 232
2.2 Salesclerk Example......Page 236
3.1 Abductive Framework to Guess the Purpose and Infer the Most Appropriate Command for the Purpose......Page 239
3.2 Video Recorder Example......Page 241
Appendix: Definitions of Generalized Stable Models and Most Preferable Stable Models......Page 244
References......Page 246
1 Introduction......Page 247
3.1 Sequences of Document Vectors and LBR......Page 249
3.2 Definiton of Similarity......Page 250
3.3 Estimating the Width for LBRs......Page 251
4.2 The EDR Electronic Dictionary......Page 252
4.3 Generalization with the Concept Dictionary......Page 253
4.4 Documents as Queries......Page 254
References......Page 255
1 Introduction......Page 257
2.1 Requirement for the Indices of Story Databases......Page 258
2.2 Minimal Common Subsumer of Concept Trees......Page 259
2.3 Maximal Analogy and Its Bottom-Up Construction......Page 261
3.1 Enumerating MAs Using Directed Graphs......Page 263
3.2 Enumerating MAs by Using an Evaluation Function......Page 266
4.1 Experiments Generating Maximal Analogies......Page 267
5 Conclusion......Page 268
References......Page 269
Back matter......Page 270