Advances in Intelligent Web Mastering - 3
Proceedings of the 7th Atlantic Web Intelligence Conference, AWIC 2011, Fribourg, Switzerland, January, 2011
1st Edition
Published on 16. January 2011
X, 238 pages
978-3-642-18029-3 (ISBN)
Description
The Atlantic Web Intelligence Conference brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of intelligent methods applied to Web based systems, and to discuss the practical challenges encountered and the solutions adopted. Previous AWIC events were held in Spain - 2003, Mexico - 2004, Poland - 2005, Israel - 2006, France - 2007 and Czech Rep. - 2009.
The present 7th Atlantic Web Intelligence Conference (AWIC'2011) was held during January 26-28, 2011, at the University of Applied Sciences of Fribourg, Switzerland. AWIC2011 is organized by the Multimedia Information System Group (MISG), Institute of the Technologies of Information and Communication (iTIC) of the University of Applied Sciences of Fribourg.
More details
Other editions
Additional editions
Elena Mugellini | Piotr S. Szczepaniak | Maria Chiara Pettenati
Advances in Intelligent Web Mastering - 3
Proceedings of the 7th Atlantic Web Intelligence Conference, AWIC 2011, Fribourg, Switzerland, January, 2011
Book
01/2011
Springer
€160.49
Shipment within 7-9 days
Content
1 - Title Page [Seite 1]
2 - Preface [Seite 5]
3 - Contents [Seite 6]
4 - Part I Invited Lectures [Seite 9]
4.1 - Fuzzy Ontologies and Fuzzy Markup Language: A Novel Vision inWeb Intelligence [Seite 10]
4.1.1 - Introduction [Seite 10]
4.1.2 - Fuzzy Ontologies and Fuzzy Markup Language [Seite 11]
4.1.2.1 - Fuzzy Ontologies [Seite 11]
4.1.2.2 - Fuzzy Markup Language [Seite 12]
4.1.3 - Fuzzy Ontologies and FML: Real-World Applications [Seite 13]
4.1.4 - Conclusion and Future Works [Seite 16]
4.1.5 - References [Seite 16]
4.2 - Loose Ontological Coupling and the Social Semantic Web [Seite 18]
4.2.1 - Introduction [Seite 18]
4.2.2 - Loosely-Coupled Ontologies [Seite 19]
4.2.3 - Emergent Semantics [Seite 20]
4.2.4 - Conclusions [Seite 21]
4.2.5 - References [Seite 21]
5 - Part II Regular Papers [Seite 23]
5.1 - Further Experiments in Sentiment Analysis of French Movie Reviews [Seite 24]
5.1.1 - Introduction [Seite 24]
5.1.2 - Previous Work [Seite 25]
5.1.3 - FeatureDesign [Seite 26]
5.1.3.1 - Lexical Features [Seite 26]
5.1.3.2 - Morpho-syntactic Features [Seite 26]
5.1.3.3 - Semantic Features [Seite 27]
5.1.4 - Experiments [Seite 28]
5.1.4.1 - Results and Discussion [Seite 28]
5.1.5 - Conclusions [Seite 32]
5.1.6 - References [Seite 32]
5.2 - Querying over Heterogeneous and Distributed Data Sources [Seite 34]
5.2.1 - Introduction [Seite 34]
5.2.2 - Related Works [Seite 35]
5.2.3 - Virtual-Q System [Seite 37]
5.2.3.1 - Virtual Query Engine Architecture [Seite 38]
5.2.3.2 - Query Process [Seite 39]
5.2.4 - Prototype [Seite 41]
5.2.5 - Conclusion and Future Work [Seite 42]
5.2.6 - References [Seite 43]
5.3 - Experiments in Bayesian Recommendation [Seite 44]
5.3.1 - Introduction [Seite 44]
5.3.2 - Related Work [Seite 45]
5.3.3 - Notation [Seite 45]
5.3.4 - Bayesian Recommendation [Seite 45]
5.3.5 - Multinomial Model [Seite 46]
5.3.5.1 - Dirichlet Prior [Seite 46]
5.3.6 - Gaussian Model [Seite 47]
5.3.7 - Experiments [Seite 49]
5.3.7.1 - Evaluation Metrics [Seite 49]
5.3.7.2 - Results [Seite 49]
5.3.7.3 - Sparsity [Seite 50]
5.3.8 - Conclusions [Seite 52]
5.3.8.1 - Future Work [Seite 52]
5.3.9 - References [Seite 52]
5.4 - Experiences of Knowledge Visualization in Semantic Web Applications [Seite 54]
5.4.1 - Introduction [Seite 54]
5.4.2 - Knowledge Visualization in the Semantic Web Context [Seite 55]
5.4.2.1 - EasyOnto [Seite 56]
5.4.3 - Integrated Environments for Knowledge Management and Visualization [Seite 58]
5.4.3.1 - IRCS Framework [Seite 59]
5.4.3.2 - The AWI Environment [Seite 61]
5.4.4 - Conclusions [Seite 63]
5.4.5 - References [Seite 63]
5.5 - "Tagsonomy": Easy Access to Web Sites through a Combination of Taxonomy and Folksonomy [Seite 65]
5.5.1 - Introduction [Seite 66]
5.5.2 - Web Access through Taxonomies and Folksonomies [Seite 66]
5.5.3 - Combining the Taxonomy and Folksonomy Approaches [Seite 67]
5.5.4 - The Easy Access (EA) Project [Seite 68]
5.5.4.1 - Test Case: Applying the EA Tagsonomy to a Web Site [Seite 70]
5.5.4.2 - Preliminary Evaluation [Seite 72]
5.5.5 - Conclusions [Seite 73]
5.5.6 - References [Seite 74]
5.6 - Conceptual Query Expansion and Visual Search Results Exploration forWeb Image Retrieval [Seite 76]
5.6.1 - Introduction [Seite 76]
5.6.2 - Related Work [Seite 78]
5.6.3 - Conceptual Query Expansion for Image Search [Seite 79]
5.6.3.1 - Extracting Concepts from Wikipedia [Seite 79]
5.6.3.2 - Ranking the Extracted Concepts [Seite 80]
5.6.3.3 - Generating Expanded Queries [Seite 81]
5.6.4 - Visual and Conceptual Search Results Exploration [Seite 81]
5.6.4.1 - Multi-resolution SOM-Based Image Organization [Seite 82]
5.6.4.2 - Concept Hierarchy Focusing and Filtering [Seite 82]
5.6.5 - Conclusions and Future Work [Seite 84]
5.6.6 - References [Seite 84]
5.7 - Memoria-Mea: Combining Semantic Technologies and Interactive Visualization Techniques for Personal Information Management [Seite 86]
5.7.1 - Introduction [Seite 86]
5.7.2 - Related Work [Seite 87]
5.7.3 - Memoria-Mea: Logical Architecture [Seite 88]
5.7.4 - Memoria-Mea: Technical Architecture [Seite 88]
5.7.5 - Prototype [Seite 90]
5.7.5.1 - Visualization Module: MemoSIV [Seite 91]
5.7.5.2 - Annotation Module: MemoSAM [Seite 92]
5.7.6 - Conclusion and Future Works [Seite 94]
5.7.7 - References [Seite 94]
5.8 - Cylindric Extensions of Fuzzy Sets. An Application to Linguistic Summarization of Data [Seite 96]
5.8.1 - Introduction [Seite 96]
5.8.1.1 - The Definitions of Fuzzy Sets and Their Cylindric Extensions [Seite 97]
5.8.1.2 - Linguistic Summaries of Databases [Seite 97]
5.8.2 - Compound Linguistic Expressions Represented by Cylindric Extensions of Fuzzy Sets [Seite 98]
5.8.3 - Summaries with Compound Summarizers [Seite 99]
5.8.4 - Summaries with Qualifiers [Seite 100]
5.8.5 - Quality Measures [Seite 100]
5.8.5.1 - Defining Degree of Covering via Cylindric Extensions [Seite 101]
5.8.5.2 - Defining Degree of Appropriateness Using Cylindric Extensions [Seite 102]
5.8.6 - Conclusions [Seite 102]
5.8.7 - References [Seite 103]
5.9 - Comparison of Selected Methods for Document Clustering [Seite 104]
5.9.1 - Introduction [Seite 104]
5.9.2 - Applied Methods of Cluster Analysis [Seite 105]
5.9.2.1 - Similarity Measure [Seite 106]
5.9.2.2 - Clustering Criterion Functions [Seite 106]
5.9.2.3 - Clustering Methods [Seite 106]
5.9.2.4 - Quality Measures [Seite 108]
5.9.2.5 - External Quality Measures [Seite 108]
5.9.3 - The 20 Newsgroups Data Set [Seite 109]
5.9.4 - Steps of Prepared Data and Their Analyses [Seite 109]
5.9.5 - Comparison of Clustering Methods [Seite 110]
5.9.6 - Description of Obtained Clusters [Seite 111]
5.9.7 - Conclusion [Seite 112]
5.9.8 - References [Seite 113]
5.10 - Speech Indexation in REPLAY [Seite 114]
5.10.1 - Introduction [Seite 114]
5.10.2 - Context [Seite 115]
5.10.3 - Speech-To-Text Plug-In [Seite 116]
5.10.3.1 - Speech Indexation Technologies [Seite 116]
5.10.3.2 - Storage of Audio Isochronic Metadata [Seite 118]
5.10.3.3 - Storage in REPLAY [Seite 118]
5.10.4 - Audio Transcription Enhancement [Seite 119]
5.10.5 - Relevance Value: Algorithm Concepts [Seite 120]
5.10.6 - Prototype [Seite 121]
5.10.7 - Conclusion and Future Works [Seite 122]
5.10.8 - References [Seite 122]
5.11 - DegExt - A Language-Independent Graph-Based Keyphrase Extractor [Seite 123]
5.11.1 - Introduction [Seite 123]
5.11.2 - DegExt - Degree-Based Extractor [Seite 125]
5.11.3 - Experimental Results [Seite 128]
5.11.4 - Conclusions and Future Work [Seite 131]
5.11.5 - References [Seite 132]
5.12 - Verifying Authenticity in Interactive Behaviors of SemanticWeb Services [Seite 133]
5.12.1 - Introduction [Seite 133]
5.12.2 - OWL Ontology ased Past-LTL and Reasoning [Seite 135]
5.12.2.1 - The ALCQIO f ragment of OWL [Seite 135]
5.12.2.2 - Conceptualizing Assertion Change [Seite 136]
5.12.2.3 - Reducing [Seite 137]
5.12.3 - Authenticity in Past-LTL [Seite 140]
5.12.4 - RelatedWorks [Seite 141]
5.12.5 - Conclusions and FutureWorks [Seite 142]
5.12.6 - References [Seite 142]
5.13 - SMAC: Smart Multimedia Archiving for Conferences [Seite 144]
5.13.1 - Introduction [Seite 144]
5.13.2 - Algorithm Overview [Seite 145]
5.13.3 - Preliminary Considerations about Slides Pictures [Seite 146]
5.13.4 - Video Segmentation [Seite 146]
5.13.5 - Matching Refinement [Seite 147]
5.13.5.1 - Frames Identification [Seite 147]
5.13.5.2 - Identification Refinement [Seite 147]
5.13.5.3 - Orphan Sequences Assignment [Seite 149]
5.13.6 - Results [Seite 149]
5.13.6.1 - Video Transitions Detection Result [Seite 150]
5.13.6.2 - Matching Refinement Result [Seite 150]
5.13.7 - Conclusion and Future Works [Seite 152]
5.13.8 - References [Seite 152]
5.14 - Ontological-Based Information Extraction of Construction Tender Documents [Seite 154]
5.14.1 - Introduction [Seite 154]
5.14.2 - Related Works [Seite 156]
5.14.3 - Ontological-Based Information Extraction Processes [Seite 157]
5.14.3.1 - Document Structure Ontology [Seite 157]
5.14.3.2 - Document Preprocessing [Seite 159]
5.14.3.3 - Information Acquisition [Seite 159]
5.14.4 - Experimental Setup [Seite 160]
5.14.5 - Result and Evaluation [Seite 161]
5.14.6 - Conclusion [Seite 162]
5.14.7 - References [Seite 162]
5.15 - Using Level-2 Fuzzy Sets to Combine Uncertainty and Imprecision in Fuzzy Regions [Seite 164]
5.15.1 - Introduction [Seite 164]
5.15.2 - Preliminaries [Seite 165]
5.15.2.1 - Fuzzy Regions [Seite 165]
5.15.2.2 - Limitations [Seite 168]
5.15.3 - Fuzzy Powerset Extension [Seite 168]
5.15.3.1 - Concept [Seite 168]
5.15.3.2 - Definition [Seite 169]
5.15.3.3 - Interpretation [Seite 169]
5.15.4 - Conclusion [Seite 172]
5.15.5 - References [Seite 173]
5.16 - Evaluation of Categorical Data Clustering [Seite 174]
5.16.1 - Introduction [Seite 174]
5.16.2 - Evaluation Criteria of Clustering [Seite 176]
5.16.2.1 - Variability Measures for Nominal Variables [Seite 176]
5.16.2.2 - Variability Measures Based Evaluation Criteria of Clustering [Seite 177]
5.16.3 - Example [Seite 179]
5.16.4 - Conclusion [Seite 182]
5.16.5 - References [Seite 182]
5.17 - Enabling Product Comparisons on Unstructured Information Using Ontology Matching [Seite 184]
5.17.1 - Introduction [Seite 184]
5.17.2 - Ontology Matching [Seite 185]
5.17.2.1 - Element-Level Matchers [Seite 186]
5.17.2.2 - Instance Matching [Seite 187]
5.17.3 - Semantic Integration of Product Specifications [Seite 187]
5.17.3.1 - Domain Model [Seite 188]
5.17.3.2 - Product Specification Normalization [Seite 189]
5.17.4 - Similarity Measures [Seite 190]
5.17.5 - Evaluation [Seite 192]
5.17.6 - Conclusions [Seite 193]
5.17.7 - References [Seite 194]
5.18 - Analyzing Sentiment in a Large Set of Web Data While Accounting for Negation [Seite 195]
5.18.1 - Introduction [Seite 195]
5.18.2 - Sentiment Analysis [Seite 196]
5.18.3 - Sentiment Negation [Seite 199]
5.18.3.1 - Framework [Seite 199]
5.18.3.2 - Implementation [Seite 201]
5.18.3.3 - Evaluation [Seite 201]
5.18.4 - Conclusions and Future Work [Seite 203]
5.18.5 - References [Seite 204]
5.19 - A Quality Assurance Framework for Ontology Construction and Refinement [Seite 206]
5.19.1 - Introduction [Seite 206]
5.19.2 - A Framework for Form-Based Ontology Evaluation [Seite 207]
5.19.2.1 - Ontology Editing Assistance [Seite 208]
5.19.2.2 - Consistency Verification after Ontology Editing [Seite 208]
5.19.2.3 - Evaluation of Ontology Editing Assistance [Seite 208]
5.19.3 - A Method for Content-Based Evaluation [Seite 210]
5.19.3.1 - Application to Construction of Sustainability Science Ontology [Seite 210]
5.19.3.2 - Concept Map Generation in Construction of Clinical Ontology [Seite 211]
5.19.4 - Related Work [Seite 213]
5.19.5 - Conclusion [Seite 214]
5.19.6 - References [Seite 215]
5.20 - Location-Based Web System for Geographically Distributed Mobile Teamwork Management [Seite 216]
5.20.1 - Introduction [Seite 216]
5.20.2 - The High-Level Architecture of the System [Seite 218]
5.20.3 - The Main Components and Technologies [Seite 218]
5.20.3.1 - Client Components and Technologies [Seite 218]
5.20.3.2 - Server Components and Technologies [Seite 220]
5.20.4 - Typical Usage of the Teamwork Tasks Management Application [Seite 221]
5.20.5 - Conclusion [Seite 222]
5.20.6 - References [Seite 222]
5.21 - Two New Methods for Network Analysis: Ant Colony Optimization and Reduction by Forgetting [Seite 224]
5.21.1 - Introduction [Seite 224]
5.21.2 - Ant Colony Optimization [Seite 225]
5.21.2.1 - Implicit Relevance Based Inquirer Model [Seite 225]
5.21.3 - Forgetting Curve [Seite 226]
5.21.3.1 - Forgetting of Social Network [Seite 229]
5.21.4 - Experiments [Seite 229]
5.21.5 - Conclusions [Seite 233]
5.21.6 - References [Seite 233]
6 - Author Index [Seite 234]
2 - Preface [Seite 5]
3 - Contents [Seite 6]
4 - Part I Invited Lectures [Seite 9]
4.1 - Fuzzy Ontologies and Fuzzy Markup Language: A Novel Vision inWeb Intelligence [Seite 10]
4.1.1 - Introduction [Seite 10]
4.1.2 - Fuzzy Ontologies and Fuzzy Markup Language [Seite 11]
4.1.2.1 - Fuzzy Ontologies [Seite 11]
4.1.2.2 - Fuzzy Markup Language [Seite 12]
4.1.3 - Fuzzy Ontologies and FML: Real-World Applications [Seite 13]
4.1.4 - Conclusion and Future Works [Seite 16]
4.1.5 - References [Seite 16]
4.2 - Loose Ontological Coupling and the Social Semantic Web [Seite 18]
4.2.1 - Introduction [Seite 18]
4.2.2 - Loosely-Coupled Ontologies [Seite 19]
4.2.3 - Emergent Semantics [Seite 20]
4.2.4 - Conclusions [Seite 21]
4.2.5 - References [Seite 21]
5 - Part II Regular Papers [Seite 23]
5.1 - Further Experiments in Sentiment Analysis of French Movie Reviews [Seite 24]
5.1.1 - Introduction [Seite 24]
5.1.2 - Previous Work [Seite 25]
5.1.3 - FeatureDesign [Seite 26]
5.1.3.1 - Lexical Features [Seite 26]
5.1.3.2 - Morpho-syntactic Features [Seite 26]
5.1.3.3 - Semantic Features [Seite 27]
5.1.4 - Experiments [Seite 28]
5.1.4.1 - Results and Discussion [Seite 28]
5.1.5 - Conclusions [Seite 32]
5.1.6 - References [Seite 32]
5.2 - Querying over Heterogeneous and Distributed Data Sources [Seite 34]
5.2.1 - Introduction [Seite 34]
5.2.2 - Related Works [Seite 35]
5.2.3 - Virtual-Q System [Seite 37]
5.2.3.1 - Virtual Query Engine Architecture [Seite 38]
5.2.3.2 - Query Process [Seite 39]
5.2.4 - Prototype [Seite 41]
5.2.5 - Conclusion and Future Work [Seite 42]
5.2.6 - References [Seite 43]
5.3 - Experiments in Bayesian Recommendation [Seite 44]
5.3.1 - Introduction [Seite 44]
5.3.2 - Related Work [Seite 45]
5.3.3 - Notation [Seite 45]
5.3.4 - Bayesian Recommendation [Seite 45]
5.3.5 - Multinomial Model [Seite 46]
5.3.5.1 - Dirichlet Prior [Seite 46]
5.3.6 - Gaussian Model [Seite 47]
5.3.7 - Experiments [Seite 49]
5.3.7.1 - Evaluation Metrics [Seite 49]
5.3.7.2 - Results [Seite 49]
5.3.7.3 - Sparsity [Seite 50]
5.3.8 - Conclusions [Seite 52]
5.3.8.1 - Future Work [Seite 52]
5.3.9 - References [Seite 52]
5.4 - Experiences of Knowledge Visualization in Semantic Web Applications [Seite 54]
5.4.1 - Introduction [Seite 54]
5.4.2 - Knowledge Visualization in the Semantic Web Context [Seite 55]
5.4.2.1 - EasyOnto [Seite 56]
5.4.3 - Integrated Environments for Knowledge Management and Visualization [Seite 58]
5.4.3.1 - IRCS Framework [Seite 59]
5.4.3.2 - The AWI Environment [Seite 61]
5.4.4 - Conclusions [Seite 63]
5.4.5 - References [Seite 63]
5.5 - "Tagsonomy": Easy Access to Web Sites through a Combination of Taxonomy and Folksonomy [Seite 65]
5.5.1 - Introduction [Seite 66]
5.5.2 - Web Access through Taxonomies and Folksonomies [Seite 66]
5.5.3 - Combining the Taxonomy and Folksonomy Approaches [Seite 67]
5.5.4 - The Easy Access (EA) Project [Seite 68]
5.5.4.1 - Test Case: Applying the EA Tagsonomy to a Web Site [Seite 70]
5.5.4.2 - Preliminary Evaluation [Seite 72]
5.5.5 - Conclusions [Seite 73]
5.5.6 - References [Seite 74]
5.6 - Conceptual Query Expansion and Visual Search Results Exploration forWeb Image Retrieval [Seite 76]
5.6.1 - Introduction [Seite 76]
5.6.2 - Related Work [Seite 78]
5.6.3 - Conceptual Query Expansion for Image Search [Seite 79]
5.6.3.1 - Extracting Concepts from Wikipedia [Seite 79]
5.6.3.2 - Ranking the Extracted Concepts [Seite 80]
5.6.3.3 - Generating Expanded Queries [Seite 81]
5.6.4 - Visual and Conceptual Search Results Exploration [Seite 81]
5.6.4.1 - Multi-resolution SOM-Based Image Organization [Seite 82]
5.6.4.2 - Concept Hierarchy Focusing and Filtering [Seite 82]
5.6.5 - Conclusions and Future Work [Seite 84]
5.6.6 - References [Seite 84]
5.7 - Memoria-Mea: Combining Semantic Technologies and Interactive Visualization Techniques for Personal Information Management [Seite 86]
5.7.1 - Introduction [Seite 86]
5.7.2 - Related Work [Seite 87]
5.7.3 - Memoria-Mea: Logical Architecture [Seite 88]
5.7.4 - Memoria-Mea: Technical Architecture [Seite 88]
5.7.5 - Prototype [Seite 90]
5.7.5.1 - Visualization Module: MemoSIV [Seite 91]
5.7.5.2 - Annotation Module: MemoSAM [Seite 92]
5.7.6 - Conclusion and Future Works [Seite 94]
5.7.7 - References [Seite 94]
5.8 - Cylindric Extensions of Fuzzy Sets. An Application to Linguistic Summarization of Data [Seite 96]
5.8.1 - Introduction [Seite 96]
5.8.1.1 - The Definitions of Fuzzy Sets and Their Cylindric Extensions [Seite 97]
5.8.1.2 - Linguistic Summaries of Databases [Seite 97]
5.8.2 - Compound Linguistic Expressions Represented by Cylindric Extensions of Fuzzy Sets [Seite 98]
5.8.3 - Summaries with Compound Summarizers [Seite 99]
5.8.4 - Summaries with Qualifiers [Seite 100]
5.8.5 - Quality Measures [Seite 100]
5.8.5.1 - Defining Degree of Covering via Cylindric Extensions [Seite 101]
5.8.5.2 - Defining Degree of Appropriateness Using Cylindric Extensions [Seite 102]
5.8.6 - Conclusions [Seite 102]
5.8.7 - References [Seite 103]
5.9 - Comparison of Selected Methods for Document Clustering [Seite 104]
5.9.1 - Introduction [Seite 104]
5.9.2 - Applied Methods of Cluster Analysis [Seite 105]
5.9.2.1 - Similarity Measure [Seite 106]
5.9.2.2 - Clustering Criterion Functions [Seite 106]
5.9.2.3 - Clustering Methods [Seite 106]
5.9.2.4 - Quality Measures [Seite 108]
5.9.2.5 - External Quality Measures [Seite 108]
5.9.3 - The 20 Newsgroups Data Set [Seite 109]
5.9.4 - Steps of Prepared Data and Their Analyses [Seite 109]
5.9.5 - Comparison of Clustering Methods [Seite 110]
5.9.6 - Description of Obtained Clusters [Seite 111]
5.9.7 - Conclusion [Seite 112]
5.9.8 - References [Seite 113]
5.10 - Speech Indexation in REPLAY [Seite 114]
5.10.1 - Introduction [Seite 114]
5.10.2 - Context [Seite 115]
5.10.3 - Speech-To-Text Plug-In [Seite 116]
5.10.3.1 - Speech Indexation Technologies [Seite 116]
5.10.3.2 - Storage of Audio Isochronic Metadata [Seite 118]
5.10.3.3 - Storage in REPLAY [Seite 118]
5.10.4 - Audio Transcription Enhancement [Seite 119]
5.10.5 - Relevance Value: Algorithm Concepts [Seite 120]
5.10.6 - Prototype [Seite 121]
5.10.7 - Conclusion and Future Works [Seite 122]
5.10.8 - References [Seite 122]
5.11 - DegExt - A Language-Independent Graph-Based Keyphrase Extractor [Seite 123]
5.11.1 - Introduction [Seite 123]
5.11.2 - DegExt - Degree-Based Extractor [Seite 125]
5.11.3 - Experimental Results [Seite 128]
5.11.4 - Conclusions and Future Work [Seite 131]
5.11.5 - References [Seite 132]
5.12 - Verifying Authenticity in Interactive Behaviors of SemanticWeb Services [Seite 133]
5.12.1 - Introduction [Seite 133]
5.12.2 - OWL Ontology ased Past-LTL and Reasoning [Seite 135]
5.12.2.1 - The ALCQIO f ragment of OWL [Seite 135]
5.12.2.2 - Conceptualizing Assertion Change [Seite 136]
5.12.2.3 - Reducing [Seite 137]
5.12.3 - Authenticity in Past-LTL [Seite 140]
5.12.4 - RelatedWorks [Seite 141]
5.12.5 - Conclusions and FutureWorks [Seite 142]
5.12.6 - References [Seite 142]
5.13 - SMAC: Smart Multimedia Archiving for Conferences [Seite 144]
5.13.1 - Introduction [Seite 144]
5.13.2 - Algorithm Overview [Seite 145]
5.13.3 - Preliminary Considerations about Slides Pictures [Seite 146]
5.13.4 - Video Segmentation [Seite 146]
5.13.5 - Matching Refinement [Seite 147]
5.13.5.1 - Frames Identification [Seite 147]
5.13.5.2 - Identification Refinement [Seite 147]
5.13.5.3 - Orphan Sequences Assignment [Seite 149]
5.13.6 - Results [Seite 149]
5.13.6.1 - Video Transitions Detection Result [Seite 150]
5.13.6.2 - Matching Refinement Result [Seite 150]
5.13.7 - Conclusion and Future Works [Seite 152]
5.13.8 - References [Seite 152]
5.14 - Ontological-Based Information Extraction of Construction Tender Documents [Seite 154]
5.14.1 - Introduction [Seite 154]
5.14.2 - Related Works [Seite 156]
5.14.3 - Ontological-Based Information Extraction Processes [Seite 157]
5.14.3.1 - Document Structure Ontology [Seite 157]
5.14.3.2 - Document Preprocessing [Seite 159]
5.14.3.3 - Information Acquisition [Seite 159]
5.14.4 - Experimental Setup [Seite 160]
5.14.5 - Result and Evaluation [Seite 161]
5.14.6 - Conclusion [Seite 162]
5.14.7 - References [Seite 162]
5.15 - Using Level-2 Fuzzy Sets to Combine Uncertainty and Imprecision in Fuzzy Regions [Seite 164]
5.15.1 - Introduction [Seite 164]
5.15.2 - Preliminaries [Seite 165]
5.15.2.1 - Fuzzy Regions [Seite 165]
5.15.2.2 - Limitations [Seite 168]
5.15.3 - Fuzzy Powerset Extension [Seite 168]
5.15.3.1 - Concept [Seite 168]
5.15.3.2 - Definition [Seite 169]
5.15.3.3 - Interpretation [Seite 169]
5.15.4 - Conclusion [Seite 172]
5.15.5 - References [Seite 173]
5.16 - Evaluation of Categorical Data Clustering [Seite 174]
5.16.1 - Introduction [Seite 174]
5.16.2 - Evaluation Criteria of Clustering [Seite 176]
5.16.2.1 - Variability Measures for Nominal Variables [Seite 176]
5.16.2.2 - Variability Measures Based Evaluation Criteria of Clustering [Seite 177]
5.16.3 - Example [Seite 179]
5.16.4 - Conclusion [Seite 182]
5.16.5 - References [Seite 182]
5.17 - Enabling Product Comparisons on Unstructured Information Using Ontology Matching [Seite 184]
5.17.1 - Introduction [Seite 184]
5.17.2 - Ontology Matching [Seite 185]
5.17.2.1 - Element-Level Matchers [Seite 186]
5.17.2.2 - Instance Matching [Seite 187]
5.17.3 - Semantic Integration of Product Specifications [Seite 187]
5.17.3.1 - Domain Model [Seite 188]
5.17.3.2 - Product Specification Normalization [Seite 189]
5.17.4 - Similarity Measures [Seite 190]
5.17.5 - Evaluation [Seite 192]
5.17.6 - Conclusions [Seite 193]
5.17.7 - References [Seite 194]
5.18 - Analyzing Sentiment in a Large Set of Web Data While Accounting for Negation [Seite 195]
5.18.1 - Introduction [Seite 195]
5.18.2 - Sentiment Analysis [Seite 196]
5.18.3 - Sentiment Negation [Seite 199]
5.18.3.1 - Framework [Seite 199]
5.18.3.2 - Implementation [Seite 201]
5.18.3.3 - Evaluation [Seite 201]
5.18.4 - Conclusions and Future Work [Seite 203]
5.18.5 - References [Seite 204]
5.19 - A Quality Assurance Framework for Ontology Construction and Refinement [Seite 206]
5.19.1 - Introduction [Seite 206]
5.19.2 - A Framework for Form-Based Ontology Evaluation [Seite 207]
5.19.2.1 - Ontology Editing Assistance [Seite 208]
5.19.2.2 - Consistency Verification after Ontology Editing [Seite 208]
5.19.2.3 - Evaluation of Ontology Editing Assistance [Seite 208]
5.19.3 - A Method for Content-Based Evaluation [Seite 210]
5.19.3.1 - Application to Construction of Sustainability Science Ontology [Seite 210]
5.19.3.2 - Concept Map Generation in Construction of Clinical Ontology [Seite 211]
5.19.4 - Related Work [Seite 213]
5.19.5 - Conclusion [Seite 214]
5.19.6 - References [Seite 215]
5.20 - Location-Based Web System for Geographically Distributed Mobile Teamwork Management [Seite 216]
5.20.1 - Introduction [Seite 216]
5.20.2 - The High-Level Architecture of the System [Seite 218]
5.20.3 - The Main Components and Technologies [Seite 218]
5.20.3.1 - Client Components and Technologies [Seite 218]
5.20.3.2 - Server Components and Technologies [Seite 220]
5.20.4 - Typical Usage of the Teamwork Tasks Management Application [Seite 221]
5.20.5 - Conclusion [Seite 222]
5.20.6 - References [Seite 222]
5.21 - Two New Methods for Network Analysis: Ant Colony Optimization and Reduction by Forgetting [Seite 224]
5.21.1 - Introduction [Seite 224]
5.21.2 - Ant Colony Optimization [Seite 225]
5.21.2.1 - Implicit Relevance Based Inquirer Model [Seite 225]
5.21.3 - Forgetting Curve [Seite 226]
5.21.3.1 - Forgetting of Social Network [Seite 229]
5.21.4 - Experiments [Seite 229]
5.21.5 - Conclusions [Seite 233]
5.21.6 - References [Seite 233]
6 - Author Index [Seite 234]
