Semantics, Web and Mining: Joint International Workshops, Ewmf 2005 and Kdo 2005, Porto, Portugal, October 3 and 7, 2005: Revised Selected Papers

Markus Ackermann, Bettina Berendt, Marko Grobelnik, Andreas Hotho, Dunja Mladenic, Giovanni Semeraro, Myra Spiliopoulou, Gerd Stumme, Vojtech Svatek, Maarten van Someren9783540476979, 3540476970

This book constitutes the thoroughly refereed and extended post-proceedings of the joint European Web Mining Forum, EWMF 2005, and the International Workshop on Knowledge Discovery and Ontologies, KDO 2005, held in association with ECML/PKDD in Porto, Portugal in October 2005.The 10 revised full papers presented together with 1 invited paper and 1 particularly fitting contribution from KDO 2004 were carefully selected for inclusion in the book. The authors’ revisions have been significantly improved by the reviewers’ comments and the discussions following the presentation. The papers focus on sophisticated techniques and tools that are used for semantic reasoning, semantic Web research, and Web data mining.

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Table of contents :
1.pdf……Page 0
Introduction……Page 11
Related Work……Page 12
O3R: An Ontology-Based Approach for Pattern Analysis……Page 13
Domain Events Representation……Page 14
Physical and Conceptual Patterns……Page 15
Pattern Rummaging……Page 16
Pattern Filtering……Page 19
Preliminary Experiences: Discovering Interesting Web Usage Patterns in a Web-Based Learning Site……Page 20
Study 1: A Naïve Comparison with an Ad Hoc Approach……Page 21
Study 2: Problem Solving Experiment……Page 23
Conclusions and Future Work……Page 24
References……Page 25
Introduction……Page 27
Document Representation……Page 28
Related Work……Page 29
A WordNet-Based Algorithm for Word Sense Disambiguation……Page 30
A Relevance Feedback Method for Learning WordNet-Based Profiles……Page 34
Synset Weighting Strategy……Page 35
Synset-Based Profiles……Page 37
Experimental Sessions……Page 38
Conclusions and Future Work……Page 41
Introduction……Page 43
Visibility……Page 44
Co-visibility……Page 47
The Insufficiency of the Simple Visibility Measure……Page 49
Semantic Network of Topics……Page 50
Spreading Activation with Co-visibilities……Page 51
Spreading Activation with Co-visibilities……Page 53
Reliability of Search Engine Hitcounts……Page 54
Related Work and Conclusions……Page 57
Introduction……Page 60
Hypertext Classification……Page 61
Link-Local Features……Page 62
Link-Local Features Extracted……Page 63
Datasets……Page 65
Classifier……Page 66
Comparing Different Feature Types……Page 68
Neighborhood of an Anchor……Page 69
Pairwise Combination of Features……Page 70
Different Classification Methods……Page 71
Conclusions……Page 72
Introduction……Page 74
Document Reference Network Based Ranking……Page 76
A Second Source of Information: The Author Trust Network……Page 77
Associating Weights to Document References……Page 79
Weighted PageRank……Page 82
Controversial References……Page 84
Personalized Trust Visibility Rankings……Page 85
Simulation……Page 86
Conclusion and Outlook……Page 88
Introduction……Page 91
Resource Compilers……Page 92
Architecture……Page 95
Resource Acquisition……Page 96
Learning……Page 99
Resource Presentation……Page 102
Analysis and Resource Quality……Page 104
Resources……Page 105
Experiments……Page 106
Conclusion……Page 109
References……Page 110
Introduction……Page 112
Our Contribution……Page 113
Related Work……Page 114
The Term-Term Similarity Matrix……Page 116
Term Validity Rank……Page 117
Term Taxonomy……Page 118
Theoretical Underpinning of our Algorithm……Page 119
Numerical Experiments……Page 121
Coverage and Stability of Direct Links……Page 124
Transitive Links……Page 125
Conclusions……Page 127
Introduction……Page 130
Related Work on Building Otologies……Page 131
K-Means Clustering……Page 132
Keywords Extraction……Page 133
Semi-automatic Construction of Topic Ontologies……Page 134
OntoGen in Practice……Page 135
Case Studies and Users’ Feedback……Page 136
Future Work……Page 138
Conclusions and Discussion……Page 139
Introduction……Page 141
Related Work……Page 142
Objectives……Page 144
Perceived Quality as Relevance + Appropriateness……Page 145
Combining Relevance and Appropriateness Ratings……Page 146
Juxtaposition of Statistical and Perceived Quality……Page 147
Definitions……Page 149
The Case Study for Ontology Enhancement……Page 150
Evaluation on Relevance and Appropriateness……Page 151
Impact Versus Statistical Quality……Page 152
Conclusions……Page 153
Introduction……Page 156
Word Sense Disambiguation for Ontologies……Page 158
Using Content Semantics for Web Personalization……Page 159
Similarity of Ontology Terms……Page 161
GVSM Based Similarity Measure……Page 162
SEWeP System Architecture……Page 163
Content Characterization……Page 164
Document Clustering……Page 166
Recommendation Engine……Page 167
Conclusions……Page 168
References……Page 169
Introduction……Page 172
Cardiovascular Risk: Data and Ontologies……Page 173
Social Climate: Data and Ontologies……Page 174
Association Mining with emph{4ft-Miner}……Page 175
Task Design……Page 177
Result Interpretation……Page 179
Result Deployment over Semantic Web……Page 184
Related Work……Page 185
Conclusions and Future Work……Page 186
Introduction……Page 189
Related Work……Page 190
Model Description……Page 191
Navigational Model……Page 192
Query Classification……Page 194
Supplementary Tasks……Page 196
Evaluation……Page 197
Conclusions and Future Work……Page 202