This book constitutes the refereed proceedings of the 16th International Conference on Conceptual Structures, ICCS 2008, held in Toulouse, France, in July 2008.
The 19 revised full papers presented together with 2 invited papers were carefully reviewed and selected from over 70 submissions. The scope of the contributions ranges from theoretical and methodological topics to implementation issues and applications. The papers present a family of Conceptual Structure approaches that build on techniques derived from artificial intelligence, knowledge representation, applied mathematics and lattice theory, computational linguistics, conceptual modeling, intelligent systems and knowledge management.
Author(s): Peter Eklund, Ollivier Haemmerlé
Series: Lecture Notes in Artificial Intelligence 5113
Edition: 1
Publisher: Springer
Year: 2008
Language: English
Pages: 320
Front matter......Page 1
Introduction......Page 10
Reasoning Systems......Page 13
Reasoning......Page 18
Software Tools......Page 24
Conclusion......Page 25
The Goal of Language Understanding......Page 30
Semeiotic and Biosemiotics......Page 33
Perception, Cognition, and Reasoning......Page 36
Language Games......Page 38
Society of Mind......Page 41
Experience with Intellitex and CLCE......Page 44
Designing Robust and Flexible Systems......Page 48
References......Page 50
Introduction......Page 52
RDF Schema......Page 53
Type Intersection......Page 54
Property Concept......Page 55
Named Graph......Page 56
Projection......Page 57
Constraints......Page 58
Graph Path......Page 60
Context......Page 61
Hierarchy of Type of Context......Page 62
Rec Graph Pattern......Page 63
Defining a Resource Using a Named Graph......Page 64
Generic Systems......Page 66
Applications......Page 67
Conclusion......Page 68
Multi-, Inter-, and Transdisciplinarity......Page 71
Generalistic Sciences and Humanities, and ``Good'' Disciplinarity......Page 73
Transdisciplinarity by Generalistic Sciences and Humanities......Page 75
Introduction......Page 83
Some Comments on the Historical Setting......Page 84
The Reality of Beings and Complex Attributes......Page 86
The Reality of Structures in the World......Page 88
The Reality of Privation......Page 89
The Temporal Aspects of Beings......Page 90
The Didactic Nature of the Representation......Page 92
Hypertext Arrangements......Page 93
References......Page 95
Introduction......Page 97
A Resource for an Evolving Infrastructure......Page 99
Peirce’s Ideas Toward an Evolutionary Infrastructure......Page 100
Revelator’s Context for Complex Adaptive Reasoning......Page 103
Knowledge Emergence in $CAR$......Page 105
Conclusions: Complex Adaptive Infrastructure?......Page 108
References......Page 110
Introduction......Page 113
Euler Diagram Based Systems......Page 114
Desirable Features of a Hybrid Notation......Page 118
Hybrid System Examples......Page 119
Formalisation......Page 121
Conceptual Spider Diagrams......Page 122
Conclusion......Page 124
Introduction......Page 128
Polarized Graphs......Page 129
Special Cases with Lower Complexity for PG-Deduction......Page 132
Limitation of the Completion Vocabulary......Page 136
Space Algorithm......Page 138
Further Work......Page 140
Introduction......Page 142
Structure of the Ontology......Page 143
Fuzzy Semantic Annotations......Page 144
The Fuzzy CG Base Corresponding to RDF Annotations......Page 146
Translation Rules from RDF Fuzzy Values into Fuzzy CGs......Page 147
The Views......Page 149
The Queries......Page 150
The Answers......Page 151
The CG Query Processing......Page 153
Conclusion......Page 154
Introduction......Page 156
${mathcal {SG}$ Formalism......Page 158
Studied Querying Model......Page 160
Answering by Base-Independent Graphs......Page 162
Sets of Incomparable Answers......Page 165
Conclusion......Page 167
Introduction......Page 170
Attribute Exploration with the Stem Base......Page 174
Multiordinal Scaled Multivalued Contexts......Page 175
Naive Approach......Page 176
Arrow Relations of a Formal Context......Page 177
Proposed Algorithm......Page 179
Conclusion......Page 182
Formal Concept Analysis......Page 184
Theory of Monotone Systems......Page 186
MONOCLE Method for Knowledge Discovery......Page 188
Invariance Property......Page 190
Application for Analysis of Social and Economic Data......Page 192
Conclusions......Page 196
Introduction......Page 198
Formal Concept Analysis......Page 200
Queries in Lattice-Based IR......Page 201
Motivation......Page 202
Formalization......Page 203
Applying Hierarchies of Attributes to Concept Lattices......Page 205
Query-Dependent Hierarchies of Attributes......Page 206
Implementation......Page 208
Conclusion and Perspectives......Page 209
Motivation and Context......Page 212
Organization of the Paper......Page 214
Formal Concept Analysis......Page 215
The PACTOLE Methodology......Page 216
Extraction of properties.......Page 217
Classifying Celestial Objects from the Texts Using FCA......Page 218
Merging the Two Lattices......Page 219
Representing the Concepts with ${mathcal {FLE}}$......Page 220
Evaluation of the Process......Page 221
Detection of the closest class.......Page 222
Discussion......Page 223
Conclusion and Future Work......Page 224
Introduction......Page 226
Running Example......Page 227
Context Analysis Driven by the Attributes......Page 228
Context Analysis Driven by the Objects/Candidates......Page 231
Making Partial Orders into a Total Order......Page 233
The Process is Fair to the Candidates......Page 234
Committee Members Can be (Relatively) Serene......Page 235
LCA/FCA Tools Are Relevant......Page 236
Related Work......Page 237
Conclusion......Page 238
Introduction......Page 240
Conceptual Graphs Model......Page 241
Contextual Cognitive Maps Model......Page 242
Filtering Mechanism According to a Use Context......Page 244
Influence Propagation in a Contextual Cognitive Map......Page 245
Prototype......Page 248
Conclusion......Page 249
Introduction......Page 251
Similar Approaches......Page 252
SeseiOnto's Search Process......Page 253
Ontology Learning......Page 256
Past Results......Page 257
Tests and Results......Page 258
Future Work......Page 261
Introduction......Page 264
Navigation and Conceptual Neighborhoods......Page 265
Design Approach of SearchSleuth: Context Building......Page 266
Building the Information Space......Page 267
Distance, Similarity and Siblings......Page 270
Relationship between Metric and Sibling Explored......Page 271
Exact Siblings (ES) and Proximity Metrics......Page 272
The Proximity of Type I Siblings Versus Non Siblings......Page 273
The Proximity of Type II Versus Type III Siblings......Page 274
Type I Versus Type II Versus Type III Siblings......Page 275
Conclusion......Page 276
Introduction......Page 278
Related Work......Page 279
Active Grounding of a Knowledge Model......Page 280
Terminological Grounding of a Knowledge Model......Page 284
Completely Grounding a Knowledge Model......Page 286
Why Does Grounding Matter to System Developers?......Page 288
References......Page 289
Introduction......Page 291
Learning Argumentation in Dialogue......Page 292
Assessing Defeasibility of Individual Claims......Page 295
Interactive form for Detection of Implicit Self-attack......Page 296
Dialectic Trees for Implicit Self-attacks......Page 299
Results and Discussions......Page 301
References......Page 304
Introduction......Page 306
Griwes Initiative......Page 307
Architecture of the Griwes Toolkit......Page 308
Related Work......Page 309
ERGraphs: Entity-Relation Graphs......Page 310
Mapping between ERGraphs......Page 311
Proofs of a Mapping......Page 312
Constraints System for Mappings......Page 313
Knowledge Layer......Page 314
Validating Against Two Languages: Simple Graphs and RDF......Page 315
Representing RDF in the Griwes Model......Page 316
Discussion......Page 317
References......Page 318
Back matter......Page 320
