Anmerkung: Intro -- Foreword -- Preface -- Contents -- 1 Multimedia Services in Intelligent Environments: Advances in Recommender Systems -- Abstract -- 1…Introduction -- 2…Recommender Systems -- 3…Conclusions -- References -- 2 A Survey of Approaches to Designing Recommender Systems -- Abstract -- 1…Introduction to Recommender Systems -- 1.1 Formulation of the Recommendation Problem -- 1.1.1 The Input to a Recommender System -- 1.1.2 The Output of a Recommender System -- 1.2 Methods of Collecting Knowledge About User Preferences -- 1.2.1 The Implicit Approach -- 1.2.2 The Explicit Approach -- 1.2.3 The Mixing Approach -- 2…Summarization of Approaches to Recommendation -- 2.1 Content-Based Methods -- 2.2 Collaborative Methods -- 2.2.1 User-Based Collaborative Filtering Systems -- 2.2.2 Item-Based Collaborative Filtering Systems -- 2.2.3 Personality Diagnosis -- 2.3 Hybrid Methods -- 2.3.1 Adding Content-Based Characteristics to Collaborative Models -- 2.3.2 Adding Collaborative Characteristics to Content-Based Models -- 2.3.3 A Single Unifying Recommendation Model -- 2.3.4 Other Types of Recommender Systems -- 2.4 Fundamental Problems of Recommender Systems -- References -- 3 Hybrid User Model for Capturing a User's Information Seeking Intent -- Abstract -- 1…Introduction -- 2…Related Work -- 2.1 Methodologies for Building a User Model for Information Retrieval -- 2.2 Decision Theory for Information Retrieval -- 3…Capturing a User's Intent in an Information Seeking Task -- 3.1 Overview -- 3.2 Interest Set -- 3.3 Context Network -- 3.4 Preference Network -- 4…Hybrid User Model -- 4.1 Overview -- 4.2 Sub-Value Function Over Query -- 4.3 Sub-Value Function for Threshold -- 4.4 Complexity of Hybrid User Model -- 4.4.1 Implementation -- 5…Evaluation -- 5.1 Objectives -- 5.2 Testbeds -- 5.3 Vector Space Model and Ide dec-hi -- 5.4 Procedures. , 5.5 Traditional Procedure -- 5.6 Procedure to Assess Long-Term Effect -- 6…Results and Discussion -- 6.1 Results of Traditional Procedure -- 6.2 Results of New Procedure to Assess Long-Term Effect -- 7…Discussion -- 8…Application of Hybrid User Model -- 9…Conclusions and Future Work -- References -- 4 Recommender Systems: Network Approaches -- Abstract -- 1…Introduction -- 2…Recommender Systems Review -- 3…Background: Graphs and NoSQL -- 3.1 Current NoSQL Implementations -- 3.2 The Algebraic Connectivity Metric -- 3.3 Recommendation Comparison and Propagation -- 4…The Effect of Algebraic Connectivity on Recommendations -- 4.1 Application to Improve Recommendations -- 5…Recommendations Experiment and Results -- 6…Conclusion -- References -- Resource List -- 5 Toward the Next Generation of Recommender Systems: Applications and Research Challenges -- Abstract -- 1…Introduction -- 2…Recommender Systems in Software Engineering -- 3…Recommender Systems in Data and Knowledge Engineering -- 4…Recommender Systems for Configurable Items -- 5…Recommender Systems for Persuasive Technologies -- 6…Further Applications -- 7…Issues for Future Research -- 8…Conclusions -- References -- 6 Content-Based Recommendation for Stacked-Graph Navigation -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Stacked Graphs -- 3.1 Views and View Properties -- 4…Content-Based Recommendation -- 4.1 View Data Set -- 4.2 User Profile -- 4.2.1 Inferring Preferences for Seen Views -- 4.2.2 Inferring Preferences for Attributes of Seen Views -- 4.3 Content-Based Recommendation -- 4.4 Usage Scenario -- 5…User Study -- 6…Results and Discussions -- 7…Conclusion and Future Work -- References -- 7 Pattern Extraction from Graphs and Beyond -- Abstract -- 1…Introduction -- 2…Foundations -- 2.1 Graphs -- 2.2 Graph Representations -- 2.3 Basic Notions of Graph Components -- 3…Explicit Models. , 3.1 Tree -- 3.2 Cohesive Subgraphs -- 3.3 Cliques -- 4…Implicit Models -- 4.1 Modularity and Its Approximation -- 4.2 Network Flow -- 5…Beyond Static Patterns -- 5.1 Sequential Pattern Mining in Data Stream -- 5.2 Explicit Approaches for Tracing Communities -- 5.3 Implicit Approaches for Tracing Communities -- 6…Conclusion -- References -- Source List -- 8 Dominant AHP as Measuring Method of Service Values -- Abstract -- 1…Introduction -- 2…Necessity of Measuring Service Values -- 2.1 Significance of Service Science -- 2.2 Scientific Approach to Service Science -- 3…AHP as a Measuring Method of Service Values -- 3.1 Saaty's AHP -- 3.2 Dominant AHP -- 4…AHP and Dominant AHP from a Perspective of Utility Function -- 4.1 Expressive form of Multi-Attribute Utility Function -- 4.2 Saaty's AHP from a perspective of utility function -- 4.3 Dominant AHP from a viewpoint of utility function -- 5…Conclusion -- 9 Applications of a Stochastic Model in Supporting Intelligent Multimedia Systems and Educational Processes -- Abstract -- 1…Introduction -- 2…Formulating a Minimum of a Random Number of Nonnegative Random Variables -- 3…Distribution Function of the Formulated Minimum -- 4…Applications in Systems and Processes -- 5…Conclusions -- References.

Anmerkung: Intro -- Series Editor's Foreword -- Preface -- Contents -- 1 Introduction -- 1.1 Subject of the Book -- 1.2 Purpose of the Book and Contribution to Science -- 1.3 Structure of the Book -- Further Reading -- 2 e-Government: The Concept, the Environment and Critical Issues for the Back-Office Systems -- 2.1 Introduction -- 2.2 The Environment of Public Administration -- 2.3 Developing e-Government-Models and Levels of Development -- 2.3.1 The Three Rings Model -- 2.3.2 The Model of Focus and Centrality -- 2.3.3 The 5 Levels of e-Government Development -- 2.3.4 The Model of 13 Levels of Digital Service Integration -- 2.4 Towards an Electronic Public Administration: The Roadmap -- 2.5 Critical Issues for e-Government -- 2.6 Back-Office Systems Development-Critical Issues for the Greek Case -- 2.6.1 e-Administration-The Current Back-Office in Greece -- 2.6.2 The Current Situation for the Personnel of the Public Administration in Greece -- 2.6.3 Description of the Support System -- 2.6.4 Benefits of the System-Perspectives -- 2.6.5 Critical Issues for the System Development -- References -- 3 Semantic Web: The Evolution of the Web and the Opportunities for the e-Government -- 3.1 The Internet as the Foundation for Service Providing -- 3.2 The Web as an Internet Service-Historical and Technological References -- 3.3 From Web to Web 2.0 -- 3.4 The Road to Web 3.0 and Web X.0 -- 3.5 Web 2.0 Versus Web 3.0: A Comparative Analysis -- 3.5.1 Web 2.0 as a Collaborative Interactive Platform -- 3.5.2 Web 2.0 Technologies -- 3.5.3 The Semantic Web: Making Data Meaningful -- 3.5.4 The Levels of the Semantic Web -- 3.5.5 The Basic Technologies Used in the Semantic Web -- 3.5.6 Web 1.0-2.0-3.0: A Comparative Presentation -- 3.6 Semantic Web Applications -- 3.7 Advantages and Challenges for the Semantic Web -- 3.8 Benefits from the Application of the Semantic Web. , 3.9 Opportunities for e-Government from the Implementation of Semantic Web Solutions -- References -- 4 Representation and Knowledge Management for the Benefit of e-Government-Opportunities Through the Tools of the Semantic Web -- 4.1 Knowledge and e-Government-Competitive Advantage for the Public Sector -- 4.1.1 Knowledge as a Concept -- 4.1.2 Knowledge Creation -- 4.1.3 Knowledge Coding -- 4.2 Knowledge Management in Terms of Semantic Web-Critical Issues for Their Application in e-Government -- 4.2.1 The Concept "Knowledge Management" -- 4.2.2 Critical Issues for the Implementation of Knowledge Management in the Public Sector -- 4.2.3 Knowledge Management Procedures -- 4.2.4 Knowledge Management Systems -- 4.3 Semantic Tools for Knowledge Management in the Domain of Public Administration -- 4.3.1 The RDF Data Model -- 4.3.2 RDF Schema Specification Language -- 4.3.3 The URI and URI's Use -- 4.3.4 Web Ontology Language-OWL -- 4.3.5 Reasoning Tools -- 4.4 Modelling and Extraction of Knowledge in the Field of e-Government-Our Proposal as "The e-Government Ontology" -- 4.4.1 The e-Government Ontology Motivation -- 4.4.2 The Ontology Development in Protégé 4.3 -- 4.5 Knowledge Acquisition from "The e-Government Ontology" -- 4.5.1 SPARQL -- 4.5.2 SPARQL-DL in OWL2 Query Tab of Protégé -- 4.5.3 DL Query Tool of Protégé -- 4.6 Evaluation of Ontology -- 4.6.1 Categorization of the Ontology -- 4.6.2 Basic Principles of Design -- 4.6.3 Methodology of the Ontology Development -- 4.7 Semantic Modelling in the Domain of Official Statistics -- 4.7.1 The Official Statistics Domain -- 4.7.2 Developing an Ontology for the Modelling of Knowledge in the Field of Official Statistics of the ELS -- 4.7.3 Results -- 4.7.4 Assessment and Evaluation of Ontology -- 4.8 Knowledge Representation in the Internal Audit Field -- 4.8.1 Introduction and Motivation. , 4.8.2 Presentation of the Audit Field -- 4.8.3 Modelling of Knowledge Within the Auditing Sector -- 4.8.4 Examples of the Application of Restrictions, Rules and Queries in Ontology -- 4.8.5 Evaluation-Assessment of Ontology -- 4.8.6 Conclusions -- References -- 5 Towards Open Data and Open Governance-Representation of Knowledge and Triplification of Data in the Field of the Greek Open Government Data -- 5.1 From e-Government Towards Open Government -- 5.2 Benefits-Perspectives from the Opening of Government Data -- 5.3 The Case of Greek Open Government Data -- 5.4 Critical Issues for Opening Government Data -- 5.4.1 Basic Rules -- 5.4.2 Basic Steps for Opening Government Data -- 5.4.3 A Proposal for Linked Open Government Data -- 5.5 The Open Data Ontology-Our Proposal for the Case of the Greek Open Data Repository -- 5.5.1 Introduction and Motivation -- 5.5.2 The Ontology Implementation in Protége -- 5.5.3 Ontology Evaluation -- 5.6 Open Data Triplification-The Case of the Greek Open Data from the "Diavgeia Program" -- 5.6.1 Introduction -- 5.6.2 Relevant Tools -- 5.6.3 Triplification-The Case of Open Data by the "Diavgeia Program -- 5.6.4 Conclusions -- 5.7 Open Data Repositories-The Case of the e-Government Ontology Publishing as an Open Ontology in CKAN -- 5.7.1 Methodology-Steps for the Development of the CKAN Repository -- 5.7.2 Opening Data Through CKAN: The Case of Publishing-Opening e-Government Ontology -- References -- 6 Production and Publication of Linked Open Data: The Case of Open Ontologies -- 6.1 Linked Open Data -- 6.1.1 Semantic Web, Linked Data and Linked Open Data-The Fundamental Rules -- 6.1.2 The Way That Linked Data Work -- 6.1.3 Linking Information Resources to Other Resources Through Redirection -- 6.1.4 Basic Steps for Publishing Linked Open Data -- 6.2 Linked Open Data Tools -- 6.2.1 Apache Jena and Apache Fuseki Server. , 6.2.2 Eclipse RDF4J Framework -- 6.2.3 Pubby -- 6.2.4 Apache Tomcat -- 6.2.5 D2R Server and D2RQ Mapping Language -- 6.2.6 OpenLink Virtuoso Server and Virtuoso Open Source Server -- 6.2.7 Comparison of the Basic Tools -- 6.3 Triplification-The Case of Production of RDF Triples from Data in Relational Databases in National Municipal Registry -- 6.3.1 Motivation -- 6.3.2 The Case of the National Municipal Registry -- 6.3.3 Triplification-Steps and Methodology -- 6.3.4 Conclusions and Future Work -- 6.4 RDF Serialisation from JSON Data-The Case of JSON Data in Diavgeia.gov.gr -- 6.4.1 Introduction -- 6.4.2 JSON Versus JSON-LD -- 6.4.3 Producing RDF Triples out of JSON Data -- 6.4.4 Conclusion-Future Work -- 6.5 Publication of Linked Data: The Case of the Open Ontology for Open Government -- 6.5.1 Create SparqL EndPoint and Publish Linked Open Data Using Fuseki and Pubby Server -- 6.5.2 Ontology Publish as Linked Open Data -- 6.6 Publication of Open Ontology in the LOD Cloud -- 6.6.1 Create a SparqL Endpoint Through OpenLink Virtuoso -- 6.6.2 Publication of the e-Government Ontology in the LOD Cloud -- 6.6.3 Publication of the Ontology in Linked Open Vocabularies -- 6.7 Conclusions -- 6.7.1 Pubby Operation -- 6.7.2 Benefits of Publishing the Ontology for Open Government as Open Data -- References -- 7 Education and e-Government-The Case of a Moodle Based Platform for the Education and Evaluation of Civil Servants -- 7.1 Introduction -- 7.2 Current Situation in the Education of Civil Servants in Greece -- 7.3 e-Training in e-Government -- 7.4 The Wiki as a Means of Education and Knowledge Management in Public Institutions -- 7.5 Suggested Wiki Implementation Through Moodle -- References -- 8 Conclusions-Future Work -- Appendix -- A.1 Customization of the Configuration CKAN File (production.ini). , A.2 Configuration File of Pubby Server (Access in a SparqL Endpoint in the Same Machine) -- A.3 Configuration File of Pubby Server (Access in a Remote SparqL Endpoint) -- A.4 Summary of Key Open Government Licence Sites.