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Semantic Web and Peer-to-Peer - Decentralized Management and Exchange of Knowledge and Information
Preface
6
Contents
9
Peer-to-Peer and Semantic Web
12
1 The Semantic Web
12
1.1 Infrastructure for Machine-Readable Metadata
13
1.2 Representing Local and Shared Meaning
13
2 Peer-to-Peer
14
2.1 Peer-to-Peer and Knowledge Management
15
2.2 Peer-to-Peer and the (Semantic) Web
17
3 Aspects of Semantics-Based Peer-to-Peer Systems
17
3.1 Data Storage and Access
18
3.2 Querying the Network
20
3.3 Integration Mechanism
22
3.4 Building and Maintaining Semantic P2P Applications
25
3.5 Other Issues
26
4 Conclusions
27
References
27
Part I Data Storage and Access
29
Overview: Data Storage and Access
30
1 An RDF Query and Transformation Language
32
1.1 Introduction
32
1.2 Query Language requirements
33
1.2.1 Expressive power
33
1.2.2 Schema awareness
34
1.2.3 Program manipulation
34
1.2.4 Compositionality
34
1.2.5 Semantics
34
1.3 The Syntax of SeRQL
35
1.3.1 Path Expressions
35
1.3.2 Filters and operators
39
1.4 Formal Interpretation of SeRQL
40
1.4.1 Mapping Basic Path Expressions to Sets
40
1.4.2 Functions
42
1.4.3 Reducing Composed Expressions
44
1.5 Related work
45
1.6 Conclusions
46
References
46
2 RDF and Traditional Query Architectures
49
2.1 Introduction
49
2.2 Motivation
50
2.3 Hierarchical mediator architecture
52
2.3.1 Indexing Sources
54
2.3.2 Index Creation and Maintenance
54
2.3.3 Query Planning and Optimization
56
2.3.4 Object Identity
56
2.3.5 HMA Advantages and Limitations
57
2.4 Cooperative Mediator Architecture
59
2.4.1 Paradigm Shift
59
2.4.2 Query Processing and Query Optimization
60
2.4.3 Making the Query Plan Robust
61
2.5 Summary and Discussion
63
References
64
3 Query Processing in RDF/S-Based P2P Database Systems
67
3.1 Introduction
67
3.2 The SQPeer Middleware
69
3.2.1 RDF/S-based P2P databases and RQL Queries
70
3.2.2 RVL Advertisements of Peer Bases
71
3.2.3 Query Routing and Fragmentation
73
3.2.4 Query Planning and Execution
74
3.2.5 Query Optimization
76
3.3 P2P Architectures and SQPeer
79
3.3.1 Hybrid P2P SONs
80
3.3.2 Structured P2P SONs
82
3.4 Related Work
84
3.5 Summary
86
References
87
Part II Querying the Network
90
Overview: Querying the Network
91
4 Cayley DHTs - A Group-Theoretic Framework for Analyzing DHTs Based on Cayley Graphs
94
4.1 DHTs and Static DHT Topologies
94
4.2 Cayley DHTs - A Group-Theoretic Model for Analyzing DHTs
95
4.2.1 Groups and Cayley Graphs
95
4.2.2 Non-constant Degree Cayley DHTs
96
4.2.3 Constant Degree Cayley DHTs
98
4.2.4 Non-Cayley DHTs
102
4.3 Cayley Graph Properties and DHTs
102
4.3.1 Symmetry and Load Balancing
102
4.3.2 Hierarchy, Fault Tolerance, and Proximity
104
4.3.3 Connectivity and Fault Tolerance
104
4.3.4 Hamiltonicity and Cyclic Routing
106
4.4 Discussion and Related Work
106
4.5 Conclusions
108
References
108
5 Semantic Query Routing in Unstructured Networks Using Social Metaphors
111
5.1 Introduction
111
5.2 SWAP Platform
113
5.2.1 Meta-information
113
5.2.2 Querying for Data
114
5.3 Algorithm
114
5.3.1 The Social Metaphors
114
5.3.2 Protocol Scenario
115
5.3.3 Peer selection algorithm
116
5.4 Evaluation Setting
117
5.4.1 Data Source and Peer setup
117
5.4.2 Generation of queries in experiment
118
5.4.3 Initial con.guration of the Peer-to-Peer network simulation
118
5.4.4 Evaluation measures
119
5.5 Results
120
5.5.1 Hypotheses
120
5.5.2 Evaluation
120
5.6 Related Work
124
5.7 Conclusion
125
References
125
6 Expertise-Based Peer Selection
128
6.1 Introduction
128
6.2 Related Work on Semantic Overlay Networks
129
6.3 A Model for Expertise Based Peer Selection
131
6.3.1 Semantic Description of Expertise
131
6.3.2 Matching and Peer Selection
132
6.3.3 Semantic Overlay
132
6.4 Expertise Based Peer Selection in Bibster
133
6.5 Results of Simulation Experiments
135
6.6 Results of Field Study
141
6.7 Comparison with Results from Simulation Experiments
142
6.8 Conclusion
143
References
144
7 Personalized Information Access in a Bibliographic Peer-to-Peer System
146
7.1 Introduction
146
7.1.1 Example Scenarios
147
7.2 Ontology Based Similarity
148
7.2.1 The Bibliographic Ontologies
148
7.2.2 Semantic Similarity
150
7.3 Semantic User Profile
153
7.3.1 User Profile Representation
153
7.3.2 Initial User Profile and Profile Adaptation
155
7.4 Recommender Functions
156
7.4.1 Recommending Similar Items
156
7.4.2 Recommending Potentially Relevant Items
157
7.4.3 Recommending Similar Peers
157
7.5 Related Work
158
7.6 Conclusion
159
References
159
8 Designing Semantic Publish/Subscribe Networks Using Super-Peers
161
8.1 Introduction
161
8.2 A Formalism for Pub/Sub Systems Based on RDF
162
8.3 The Super-Peer Architecture
165
8.4 Processing Advertisements, Subscriptions and Notifications
168
8.4.1 Processing Advertisements
168
8.4.2 Processing Subscriptions
171
8.4.3 Processing Notifications
172
8.5 Dynamics of P2P Pub/Sub Networks
173
8.5.1 Of.ine Noti.cations and Rendezvous at Super-Peers
173
8.5.2 Peer Authentication
174
8.6 Related Work
176
8.7 Conclusions
177
8.8 Acknowledgements
178
References
178
Part III Semantic Integration
182
Overview: Semantic Integration
183
9 Semantic Coordination of Heterogeneous Classifications Schemas
185
9.1 Introduction
185
9.2 Our Approach
186
9.3 The Algorithm:
189
9.3.1 Semantic Elicitation
192
9.3.2 Semantic Comparison
194
9.4 Related Work
195
9.5 Conclusions
197
References
198
10 Semantic Mapping by Approximation
201
10.1 Introduction
201
10.2 Application in Peer-to-Peer
203
10.3 Internet Music Schemas
205
10.4 Approximate Matching
206
10.4.1 Normal Forms
207
10.5 Experiment with Approximate Matching
208
10.5.1 Example of an Approximate Matching
209
10.5.2 Comparison with Instance Data
210
10.6 Future Work
212
10.6.1 Improvements of Approximation Accuracy
213
10.6.2 Sources of Background Knowledge
213
10.7 Conclusion
214
Acknowledgements
214
References
214
11 Satisficing Ontology Mapping
216
11.1 Introduction
216
11.2 Terminology
218
11.2.1 Ontology
218
11.2.2 Mapping
218
11.2.3 Example
218
11.3 Process
219
1. Feature engineering
219
2. Selection of Next Search Steps.
219
3. Similarity Computation
219
4. Similarity Aggregation.
219
5. Interpretation
220
6. Iteration.
220
11.4 A Toolbox of Data Structures and Methods
220
11.4.1 Features of Ontological Entities
220
11.4.2 Similarity Computation
221
11.4.3 Similarity Aggregation
222
11.4.4 Interpretation
222
11.5 Approaches to Determine Mappings
222
11.5.1 Standard Mapping Approaches
222
11.5.2 QOM - Quick Ontology Mapping
224
11.6 Comparing Run-time Complexity
226
11.7 Empirical Evaluation and Results
227
11.7.1 Test Scenario Metrics
227
11.7.2 Results and Discussion
228
11.8 Related Work
230
11.9 Conclusion
230
References
231
12 Scalable, Peer-Based Mediation Across XML Schemas and Ontologies
233
12.1 Introduction
233
12.2 System Overview
235
12.2.1 Data, Schemas, and Queries
235
12.2.2 Data Sharing and Mediation
237
12.2.3 Query Processing
237
12.3 Mapping Requirements for Structured Data
238
12.4 Schema Mappings in Piazza
239
12.4.1 Mapping Language and Examples
241
12.4.2 Semantics of Mappings
245
12.4.3 Discussion
246
12.5 Query Answering Algorithm
247
12.5.1 Query Representation
248
12.5.2 The Rewriting Algorithm
250
12.6 Conclusions and Future Work
254
References
254
13 Semantic Gossiping: Fostering Semantic Interoperability in Peer Data Management Systems
257
13.1 Introduction
257
13.2 Motivation: Sharing Images Meaningfully
259
13.3 Of Semantic Neighborhoods and Schema Translations
261
13.4 Semantic Query Routing
263
13.4.1 Syntactic Measures
263
13.4.2 Semantic Measures
264
13.4.3 An illustrating example
266
13.5 Self-Healing Semantic Networks
267
13.6 Analyzing Semantic Interoperability in the Large
269
13.7 GridVine: Implementing Semantic Gossiping on top of a DHT
270
13.8 Conclusions
272
References
273
Part IV Methodology and Systems
274
Overview: Methodology and Systems
275
References
277
14 A Methodology for Distributed Knowledge Management Using Ontologies and Peer-to-Peer
279
14.1 Introduction
279
14.2 The Theory of Distributed Knowledge Management
281
14.3 Methods for Distributed Knowledge Management
284
14.4 Tools for Distributed Knowledge Management
287
14.4.1 Analysis
288
14.4.2 Design
290
14.4.3 Deployment
293
14.4.4 Evaluation
294
14.5 Summary
296
References
297
15 Distributed Engineering of Ontologies (DILIGENT)
299
15.1 Introduction and Motivation
299
15.2 DILIGENT Process
300
15.3 AIFB Case Study: An Argumentation Framework for DILIGENT
302
15.3.1 Threads of Arguments
302
15.3.2 Hypothesis
303
15.3.3 Hypothesis Validation
304
15.4 IBIT Case Study: a running DILIGENT Process
308
15.4.1 Organizational Setting
308
15.4.2 Technical Setting
309
15.4.3 Realizing a DILIGENT Process
309
15.4.4 Lessons Learned from the Realization
311
15.4.5 Tool Support for DILIGENT Steps
311
15.5 Related Work
316
15.6 Conclusion
316
References
317
16 A Peer-to-Peer Solution for Distributed Knowledge Management
319
16.1 Introduction
319
16.2 KEx: a P2P Architecture for DKM
320
16.2.1 K-peers
320
16.2.2 Roles of K-peers in KEx
323
16.2.3 K-Services
324
16.3 Development Framework
327
16.4 Conclusions and Research Issues
328
References
329
17 Xarop, a Semantic Peer-to-Peer System for a Virtual Organization
331
17.1 Introduction
331
17.1.1 The Tourism Sector in the Balearic Islands
331
17.1.2 Decision making in the Destination
332
17.1.3 Domains of Knowledge
333
17.2 Requirements Analysis
335
17.2.1 Organizational Context Analysis
336
17.2.2 Use Cases Description Searching for Information
337
17.3 XAROP platform description
338
17.3.1 Knowledge Providing functionalities
339
17.3.2 Knowledge Searching Functionalities
340
17.3.3 Managing Security Permissions
341
17.4 Conclusions
341
References
342
18 Bibster - A Semantics-Based Bibliographic Peer-to-Peer System
344
18.1 Introduction
344
18.2 Major Use Cases for Bibster
345
18.3 Design of Bibster
346
18.3.1 Ontologies in Bibster
346
18.3.2 Bibster Architecture and Modules
347
18.4 Semantic Extraction of Bibliographic Metadata
349
18.5 Semantic Querying
350
18.6 Expertise Based Peer Selection
352
18.7 Semantic Duplicate Detection
354
18.8 Results
355
18.9 Related Work
357
18.10 Conclusion
357
References
358
Author Index
359
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