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• Intro
• Title Page
• Abstract
• Contents
• Foundations
• Introduction
• Motivation
• Problem Statement
• Challenges
• Hypotheses
• Contributions
• Outline
• Preliminaries
• The Semantic Web, Linked Data, and Knowledge Graphs
• The Resource Description Framework
• The SPARQL Protocol and RDF Query Language
• Linked Data Fragments
• Foundations of Query Processing
• Sample-based Knowledge Graph Profiling
• Related Work: Knowledge Graph Profiling and Sampling
• Performance Profiling
• Statistical Profiling
• Sampling from Graphs

• Performance Profiling of Triple Pattern Fragments
• Introduction
• Motivating Example
• Triple Pattern Fragments Profiler
• Evaluation
• Conclusion
• Statistical Profiling for Federated Query Processing
• Introduction
• Problem Statement
• Characteristic Sets Profile Feature Estimation
• Estimation-based Federated Query Planning
• Evaluation
• Conclusion
• Decentralized Query Processing over Knowledge Graphs
• Related Work: Decentralized Query Processing
• Single Knowledge Graphs
• Multiple Knowledge Graphs
• Robust Query Processing in Relational Databases

• Robust Query Processing over Linked Data Fragments
• Introduction
• Motivating Example
• Robust Query Planning
• A New Class of Adaptive Join Operators
• Evaluation
• Conclusion
• Federated Query Processing over Heterogeneous Linked Data Fragments
• Introduction
• Motivating Example
• Federations of Linked Data Fragment Services
• Conceptual Framework
• Illustration of the Framework
• Evaluation
• Conclusion
• Conclusion
• Summary
• Outlook
• Bibliography
• Notation
• Acronyms
• Prefixes
• Additional Material
• Chapter 4
• Chapter 5
• Efficiency of CSPF Computation

• Intro
• Title Page
• Abstract
• Contents
• Part I. Introduction and Preliminaries
• Chapter 1. Introduction
• Chapter 2. Preliminaries
• Part II. Type-systems for the Semantic Web
• Chapter 3. A Basic Programming Language (lambda-calculus)
• Chapter 4. Type Checking with Description Logics
• Chapter 5. Type Checking with SHACL
• Chapter 6. Shape Containment
• Part III. Related Work and Conclusion
• Chapter 7. Related Work
• Chapter 8. Conclusion
• Bibliography
• Appendix A. Soundness of the lambda calculus

• Intro
• Title Page
• Preface
• Contents
• Research on Key Issues and Countermeasures of Internationalization of Chinese Enterprise Standards
• Leader-Employee"" Power Distance Orientation and Employee's Voice: Based on the Mediating Effect Employee's Psychological Security
• Factors Affecting Mobile Banking Loyalty in Thailand
• The Effect of Open Innovation Implementation on Small Firms' Propensity for Inbound and Outbound Open Innovation Practices
• Barriers and Facilitators of Front Identification in China's Pork Traceability System

• Development of Entering and Reporting Registration System Platform of the CAU Library in COVID-19 Epidemic Period
• Research on the Path of Data Literacy Cultivation for College Students
• Review of the Application of Social Media Data in Disaster Research
• Factors Influencing Farmers' Willingness to Pay for Weather Index Insurance Through Fuzzy-Set Qualitative Comparative Analysis: Insights from a Pilot in Jiangxi Province, China
• Strategies for Managing Shocking Global Crises in a Disruptive Environment: Proposal for a Intelligence Management Model

• An Innovative Application of Big Data in Healthcare: Driving Factors, Operation Mechanism and Development Model
• Using Bibliometric Indicators from Patent Portfolio Valuation as Value Factor for Generating Smart Beta and Index Products
• Supply Chain Finance for Targeted Poverty Alleviation: A Case Study of Suning
• The Internationalization of Oil & Gas Family Businesses
• Environmental Awareness and Adoption Intention of Electric Cars in Young Adult
• A Design and Study on the Framework of University Academic Atmosphere Governance Based on IT Governance Theory

• Study on the Profit Model in the E-commerce
• Subject Index
• Author Index

• Intro; Title Page; Acknowledgments; Contents; Abstract; Introduction; Federated SPARQL Query Processing; The Need for Efficient Source Selection; The Need for More Comprehensive SPARQL Benchmarks; Contributions; Chapter Overview; Basic Concepts and Notation; Semantic Web; URIs, RDF; SPARQL Query Language; Triplestore; SPARQL Syntax, Semantic and Notation; State of the Art; Federation systems evaluations; Benchmarks; Federated engines public survey; Survey Design; Discussion of the survey results; Details of selected systems; Overview of the selected approaches; Performance Variables.

• EvaluationExperimental setup; Evaluation criteria; Experimental results; Discussion; Effect of the source selection time; Effect of the data partitioning; Hypergraph-Based Source Selection; Problem Statement; HiBISCuS; Queries as Directed Labelled Hypergraphs; Data Summaries; Source Selection Algorithm; Pruning approach; Evaluation; Experimental Setup; Experimental Results; Trie-based Source Selection; TBSS; TBSS Data Summaries; TBSS Source Selection Algorithm; TBSS Pruning approach; QUETSAL; Quetsal's Architecture; Quetsal's SPARQL 1.1 Query Re-writing; Evaluation; Experimental Setup.

• Experimental ResultsDuplicate-Aware Source Selection; DAW; Min-Wise Independent Permutations (MIPs); DAW Index; DAW Federated Query Processing; Experimental Evaluation; Experimental Setup; Experimental Results; Policy-Aware Source Selection; Motivating Scenario; Methodology and Architecture; Evaluation; Experimental Setup; Experimental Results; Data Distribution-Based Source Selection; Motivation; Biological query example; Methods; Transforming TCGA data to RDF; Linking TCGA to the LOD cloud; TCGA data workflow and schema; Data distribution and load balancing.

• TopFed federated query processing approachSource selection; Results and discussion; Evaluation; Availability of supporting data; LargeRDFBench: SPARQL Federation Benchmark; Background; The Need of More Comprehensive SPARQL Federation Benchmark; Benchmark Description; Benchmark Datasets; Benchmark Queries; Performance Metrics; Evaluation; Experimental Setup; SPARQL 1.0 Experimental Results; SPARQL 1.1 Experimental Results; FEASIBLE: SPARQL Benchmarks Generation Framework; Key SPARQL Features; A Comparison of Existing Triple Stores Benchmarks and Query Logs; FEASIBLE Benchmark Generation.

• Data Set CleaningNormalization of Features Vectors; Query Selection; Complexity Analysis; Evaluation and Results; Composite Error Estimation; Experimental Setup; Experimental Results; Conclusion; HiBISCuS; TBSS/Quetsal; DAW; SAFE; TopFed; LargeRDFBench; FEASIBLE; Bibliography.

• Intro; Title Page; Contents; Introduction and State of the Art; Introduction; Problem Statement; Research Hypothesis; Research Questions; R
• Q1: Definition of an Explanation; R
• Q2: Detection of the Background Knowledge; R
• Q3: Generation of the Explanations; R
• Q4: Evaluation of the Explanations; Research Methodology; Approach and Contributions; Applicability; Dedalo at a Glance; Contributions of the Thesis; Structure of the Thesis; Structure; Publications; Datasets and Use-cases; State of the Art; A Cognitive Science Perspective on Explanations; Characterisations of Explanations.

• The Explanation OntologyResearch Context; The Knowledge Discovery Process; Graph Terminology and Fundamentals; Historical Overview of the Web of Data; Consuming Knowledge from the Web of Data; Resources; Methods; Towards Knowledge Discovery from the Web of Data; Managing Graphs; Mining Graphs; Mining the Web of Data; Summary and Discussion; Looking for Pattern Explanations in the Web of Data; Manually generating Explanations; Introduction; The Inductive Logic Programming Framework; General Setting; Generic Technique; A Practical Example; The ILP Approach to Generate Explanations; Experiments.

• Building the Training ExamplesBuilding the Background Knowledge; Inducing Hypotheses; Discussion; Conclusions and Limitations; Automatically generating Explanations; Introduction; Problem Formalisation; Assumptions; Formal Definitions; An Example; Automatic Discovery of Explanations; Challenges and Proposed Solutions; Description of the Process; Evaluation Measures; Final Algorithm; Experiments; Use-cases; Heuristics Comparison; Best Explanations; Time Evaluation; Conclusions and Limitations; Aggregating Explanations using Neural Networks; Introduction; Motivation and Challenges.

• Improving Atomic RulesRule Interestingness Measures; Neural Networks to Predict Combinations; Proposed Approach; A Neural Network Model to Predict Aggregations; Integrating the Model in Dedalo; Experiments; Comparing Strategies for Rule Aggregation; Results and Discussion; Conclusions and Limitations; Contextualising Explanations with the Web of Data; Introduction; Problem Statement; Learning Path Evaluation Functions through Genetic Programming; Genetic Programming Foundations; Preparatory Steps; Step-by-Step Run; Experiments; Experimental Setting; Results; Conclusion and Limitations.

• Evaluation and ConclusionEvaluating Dedalo with Google Trends; Introduction; First Empirical Study; Data Preparation; Evaluation Interface; Evaluation Measurements; Participant Details; User Agreement; Results, Discussion and Error Analysis; Second Empirical Study; Data Preparation; Evaluation Interface; Evaluation Measurements; User Agreement; Results, Discussion and Error Analysis; Final Discussion and Conclusions; Discussion and Conclusions; Introduction; Summary, Answers and Contributions; Definition of an Explanation; Detection of the Background Knowledge; Generation of the Explanations.

• Intro; Title Page; Abstract; Acknowledgements; Contents; List of Figures; List of Tables; List of Algorithms; List of Acronyms; Introduction; Motivation; Aims of the Thesis; Structure of the Thesis; Structure; Thesis Contributions; Inference in Probabilistic Logic Programming; Inference in Probabilistic Description Logics; Learning Systems in Probabilistic Logic Programming; Learning Systems in Probabilistic Description Logics; How to read this thesis; Probabilistic Logics; Fundamentals of First-Order Logic and Logic Programming; Introduction; First-Order Logic; Syntax; Tarski's semantics.

• Logic ProgrammingProlog; Normal Logic Programs; First-Order Logic vs Logic Programs; Conclusions; Distribution Semantics; Introduction; Formal Definition; Conclusions; Probabilistic Logic Programming Languages; Introduction; Logic Programs with Annotated Disjunctions; LPADs Syntax; LPADs Semantics; ProbLog; ProbLog Syntax; Conclusions; Description Logics and OWL; Introduction; Description Logics; Syntax; Concept and Role Constructors; Concept Constructors; Role constructors; Knowledge Base; Nomenclature; Semantics; Decidability of Description Logics; Description Logics and First-Order Logic.

• The OWL Ontology LanguageOWL Syntax; OWL sublanguages; Tools for OWL; Conclusions; Reasoning in Description Logics; Reasoning Problems; Closed vs Open World Assumption; Reasoning Techniques; Pellet; Tableau Algorithm; Explanation finding; Pinpointing formula; Conclusions; Probabilistic Description Logics; Introduction; The Distribution Semantics for Description Logics: DISPONTE; Syntax; Semantics; Assumption of Independence; Related Work; Conclusions; Inference in Probabilistic Logics; Decision Diagrams; Introduction; Multivalued Decision Diagrams; Binary Decision Diagrams; Conclusions.

• Fundamentals of Exact Probabilistic Logical InferenceInference Approaches; Exact Probabilistic Logical Inference; Splitting Algorithm; Inference with Multi-valued Decision Diagrams; Inference with Binary Decision Diagrams; Conclusions; Inference in Probabilistic Logic Programming; Introduction; cplint; Exact Inference: the PITA module; Approximate Inference: the MCINTYRE module; Causal Inference with cplint; Causal Inference in PLP; Causal Exact Inference with cplint; Causal Approximate Inference with cplint; Notable Examples; Simpson's Paradox; Viral Marketing; Experiments.

• Hybrid Probabilistic Logic Programs with cplintSampling the Arguments of Unconditional Queries over Hybrid Programs; Conditional Queries over Hybrid Logic Programs; cplint on SWISH: a Web interface for cplint; SWISH; cplint on SWISH; Examples; Related Work; Work on causality inference; Work on Hybrid Probabilistic Logic Programs; Web application for PLP; Conclusions; Inference in Probabilistic Description Logics; Introduction; BUNDLE; How to use BUNDLE; TRILL; TRILLP; How to use TRILL and TRILLP; TRILL on SWISH; Inference Complexity; Experiments; Comparing the Systems; Related Work.

• Intro; Title Page; Contents; Introduction; Motivation; Problem Statement; Challenges and Overview of the State-of-the-Art; Challenges for Efficient SPARQL Query Processing; Challenges for Effective SPARQL Query Processing; Hypotheses and Research Questions; Contributions; Outline; Foundations of Linked Data Management; Linked Data; The Resource Description Framework (RDF); Querying RDF Data: The SPARQL Query Language; Querying RDF Data on the Web; URI Dereferencing and Link Traversal; SPARQL Endpoints; Linked Data Fragments; Foundations of Query Processing; Query Optimization

• Adaptive Query ProcessingAdaptive Query Processing over Linked Data; Introduction; Research Questions; Contributions; Structure of the Chapter; Motivating Example; Related Work; Adaptive Link Traversal Approaches; Adaptive Query Processing Against SPARQL Endpoints; Query Processing Approaches Against TPF Servers; The nLDE Approach; nLDE Query Optimizer; Estimation of Query Plan Cardinalities; Placing Physical Operators; Building Query Tree Plans; nLDE Optimizer: Algorithm Description; Complexity of the nLDE Query Optimizer; nLDE Adaptive Routing Query Engine; Adaptive Operators; Eddies

• Network of Linked Data Eddies (nLDE)Termination of nLDE; Correctness of nLDE; Routing Policies; Routing Policy from Eddies to Adaptive Operators; Routing Policy from Adaptive Operators to Eddies; Experimental Study; Experimental Settings; Efficiency of the nLDE Optimizer; Effectiveness of the nLDE Optimizer; Impact of the nLDE Routing-based Adaptivity on Execution Time in Perfect Networks; Effectiveness of the nLDE Routing-based Adaptivity Under the Presence of Network Delays; Summary and Future Work; Foundations of Crowdsourcing; Overview; Types of Crowdsourcing; Microtasks; Contests

• Crowdsourcing WorkflowsHybrid Crowdsourcing Workflows; Human-based Workflow: Find-Fix-Verify; Crowdsourcing Query Answer Completeness over Linked Data; Introduction; Research Questions; Contributions; Structure of the Chapter; Motivating Example; Related Work; Hybrid Query Processing for Relational Data; Crowd-based Linked Data Management Applications; Web Data Quality Assessment; The HARE Approach; Problem Definition; Proposed Solution; RDF Completeness Model; Representation of the Crowd Knowledge; Crowd Contradiction; Crowd Unknownness; HARE Microtask Manager; User Interface Generator

• Microtask ExecutorHARE Query Optimizer; Complexity of the HARE Query Optimizer; HARE Query Engine; A SPARQL Fuzzy Set Semantics; HARE BGP Executor; Complexity of HARE Query Evaluation; Experimental Study; Experimental Settings; HARE Crowdsourcing Capabilities; Size of Query Answer; Quality of Crowd Answers; Crowd Response Time; Summary and Future Work; Crowdsourcing Linked Data Quality Issues; Introduction; Research Questions; Contributions; Structure of the Chapter; Preliminaries: Linked Data Quality Issues; Related Work; Crowdsourcing in Linked Data Management; Web Data Quality Assessment

Sand, clay and rock have to be excavated for a variety of purposes, such as dredging, trenching, mining (including deep sea mining), drilling, tunnel boring and many other applications. Many excavations take place on dry land, but they are also frequently required in completely saturated conditions, and the methods necessary to accomplish them consequently vary widely.

This book provides an overview of cutting theories. It begins with a generic model, valid for all types of soil (sand, clay and rock), and continues with the specifics of dry sand, water-saturated sand, clay, atmospheric rock and hyperbaric rock. Small blade angles and large blade angles are discussed for each soil type, and for each case considered the equations/model for cutting forces, power and specific energy are given.

With models verified by laboratory research, principally from the Delft University of Technology, and data from other recognized sources, this book will prove an invaluable reference for anybody whose work involves major excavations of any kind.

• Title Page; Contents; Acknowledgements; Introduction; The definitions of social and private renting; Competition and rental housing markets in the housing literature; The traditional structure-conduct-performance paradigm; The structure-conduct-performance of rental housing; Research approach and key questions; Methodological approach and data; Outline of the thesis; Rental housing systems in England and the Netherlands; Rental housing in England; The landlords; The tenants; Rental housing in the Netherlands; The landlords; The tenants; The case study cities Coventry and Breda.

• Coventry in contextBreda in context; Conclusions; Market structure: The competitiveness of mixed rental markets; An analytical framework of perfect competition in mixed rental markets; Supply and spatial concentration; Barriers to entry provision and access consumption; Product differentiation; Perfect competition and the mixed rental markets in Coventry and Breda; Conclusion; Landlord conduct: Perceptions of rivalry and rivalrous behaviour; An analytical framework of conscious rivalry in mixed rental markets; Landlords' perceptions of rivalry and their competitive strategies.

• Forms of rivalry in the mixed rental markets of Coventry and BredaThe drivers of and barriers to rivalry between social and private landlords; Conclusion; Market performance: The possible effects of competition in mixed rental markets; The concept of performance in the literature; Performance as a mainstream economic concept; The nonprofit view on performance; Performance in the housing literature; An analytical framework of performance in mixed rental markets; The possible effects of competition in the mixed rental markets of Coventry and Breda; Landlord-level effects; Wider market effects.

• Quantifying the competition-performance relationConclusions; Tenants' willingness to substitute social and private rental services; An analytical framework of tenants' moving intentions in mixed rental markets; Tenants' perceptions of and attitudes towards social and private renting in Breda; Dependent and independent variables; Statistical methods; Results; Tenants' moving intentions in the mixed rental market of Breda; Dependent and independent and variables; Statistical approach; Results; Social tenants' perceptions and moving intentions in Coventry
• a descriptive analysis.

• Variables and statistical methodsResults; Conclusion; Summary and conclusions; Exploring competition
• the individual elements of the SCP of rental housing; The competitiveness of mixed rental housing markets; Competitive conduct of landlords in mixed rental markets; Landlord and market performance; Consumption decisions and the willingness to substitute; Understanding competition
• the links between the elements of the SCP of rental housing; Reflections on the research and directions for further research; Policy implications; Summary (in Dutch); References; Appendix A. Case study selection.

• Title Page
• Inhoud
• Inleiding
• Ontwikkelingen in de beleidscoordinatie
• Ontwikkelingen bij overheidsorganisaties
• Probleemveld
• Probleemstelling
• Begrenzing
• Opzet onderzoek
• Geo-informatievoorziening als ICT-functie
• ICT-functie
• Ontwikkelingen in de ICT-functie
• ICT-strategie
• Tweesporenbeleid in ICT-strategie
• ICT-infrastructuurstrategie
• ICT-innovatiestrategie
• Geo-informatievoorziening is de Geo-ICT-functie
• Geo-ICT-strategie
• Geo-ICT-infrastructuurstrategie
• Geo-ICT-innovatiestrategie
• Samenvatting

• Dynamiek in managementorientatieOrganisatietheorieen in vogelvlucht
• Uitwerking van het Vierfasenmodel
• Vermogens en vermogensvermeerdering
• Orientatierichtingen
• Interventies op socialisatievermogen
• Dynamische vermogensvermeerdering
• Toepassing Vierfasenmodel bij de overheid
• Managementorientatie Dienstverlening
• Managementorientatie Efficiencyverbetering
• Managementorientatie Lenigheid
• Managementorientatie Innovativiteit
• Samenvatting
• Managementorientatie op Geo-ICT-functie
• Inleiding
• Modelontwikkeling

• Strategisch positiemodel Geo-ICT-functieManagementorientatie Dienstverlening
• Managementorientatie Efficiencyverbetering
• Managementorientatie Lenigheid
• Managementorientatie Innovativiteit
• Samenvatting
• Onderzoeksontwerp veldwerk
• Inleiding
• Kwalitatief historisch meervoudig casestudy-onderzoek
• Selectie van cases
• Uitvoering van casestudy-onderzoek
• Samenvatting
• Nationale Geo-ICT-functie in de praktijk
• Inleiding
• Interventiemomenten
• Structuurschets Vastgoedinformatievoorziening (1992)

• Programma Stroomlijning Basisgegevens (1998)Project Ruimte voor Geo-Informatie (2003)
• Gideon (2008)
• Cyclische dynamiek
• Overheidsorganisaties in de praktijk
• Inleiding
• Gemeente Almere
• Gemeente Almere in perspectief
• Organisatieontwikkeling
• Ontwikkeling Geo-ICT-functie
• Cyclische dynamiek
• Gemeente Doetinchem
• Gemeente Doetinchem in perspectief
• Organisatieontwikkeling
• Ontwikkeling Geo-ICT-functie
• Cyclische dynamiek
• Topografische Dienst Kadaster
• Topografische Dienst Kadaster in perspectief

• Ontwikkeling organisatie en Geo-ICT-functieCyclische dynamiek
• Bevindingen
• Inleiding
• Integratie van Geo-ICT-functie binnen organisatiemodel
• Toetsing aan de vijf uitgangspunten
• Onderzoeksontwerp in de praktijk
• Optimale verbindingen en maatschappelijk rendement
• Conclusies en aanbevelingen
• Inleiding
• Conclusies
• Aanbevelingen
• Geraadpleegde literatuur
• Bijlage 1. Achtergrondinformatie casestudy's
• Bijlage 2. Begrippenlijst voor casestudy-onderzoek
• Bijlage 3. Afkortingen en synoniemen
• Samenvatting
• Summary

Geo-informatie is informatie met een ruimtelijke component: waar bevindt zich wat? Overheidsorganisaties gebruiken dagelijks geo-informatie in allerlei toepassingen en werkprocessen. Vanwege de grote maatschappelijke en economische betekenis is de geo-informatievoorziening een belangrijke taak van de Nederlandse overheid. Het delen van geo-informatie ligt erg voor de hand: overheidsorganisaties zijn nauw verweven en veel geo-bestanden zijn generiek toepasbaar. Toch verloopt de samenwerking via de nationale geo-informatie infrastructuur niet altijd vlekkeloos. De informatiearchipel presenteert ee.

• pt. I. Introduction
• pt. II. Great expectations : glorious estates
• pt. III. Decline and fall : sink estates
• pt. IV. Integrated approach : recovering estates.

• 1. Introduction
• 2. Classification of seven categories of quality
• 3. A typology of rules and regulations
• An opinion poll on quality rules and regulations
• A typology of rules and regulations
• Usefulness of rules and regulations
• 4. Quality and the business unit's identity
• License Giver
• License Taker
• Jobber
• Consultant
• 5. Engineering design quality
• What is a good engineering design?
• The dynamic nature of engineering design
• Wing nozzle
• Contra-rotating propeller design
• The multi-purpose pitfall
• Mathematical modelling in engineering design
• 6. Measuring fitness for purpose: preference measurement
• Tetra software for multi-criteria decision-making
• Example: Buying a house
• An application of preference measurement in the construction industry
• 7. Use of the quality classification in the construction industry
• Prerequisite for the implementation of any new concept: the product champion
• The use of the quality circles
• Trade-offs between quality, costs, and schedule
• 8. Quality in architecture
• The Stedelijk Museum Amsterdam
• The new office for the broadcasting organization VPRO
• The Øresund Link
• 9. The essence
• Appendices I Strategic classification of business units
• Exploitation of R & D output: Four typical cases
• Classification of strategy
• The multi-business corporation
• Discussion of four typical cases.

Quality in Design and Execution of Engineering Practice is about quality management focused at fitness for purpose, rather than compliance with specifications, rules and regulations. The focus on getting execution in line with fitness for purpose is supported by a classification of seven different categories of quality, defined by their relevance for purpose, compliance with specifications, and actual execution. This classification facilitates decision making on desirable exemptions from specifications in the interest of both buyer and supplier. The author offers guidelines for quality management in different types of business units: License Giver, License Taker, Jobber and Consultant. Real life examples illustrate the authors approach, which concerns a mindset rather than a recipe for effective quality management. The book is of interest to any manager who is striving for superior quality of products and services for his customers. IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields.

• Title Page; Contents;
• Chapter 1. Introduction; Underground construction in densely populated areas; Failure costs in underground construction; Deep excavations in soft soil conditions; Scope and objective of this research; Research questions; Project cooperation; Outline thesis;
• Chapter 2. Literature Review; Introduction; Deep excavations; Empirical methods, all construction activities combined; Empirical methods, effect of excavation and installation; Semi-empirical methods, shape of settlement trough due to excavation; Predicting displacements due to installation of diaphragm walls.

• Building behaviourCauses of damage in buildings; Classification of damage; Criteria for damage to buildings; Limiting tensile strain method; Interaction soil
• building for shallow foundations; Introduction; The effect of building stiffness; The effect of building weight; The effect of the interface between building and soil; The response of pile foundations near deep excavations; Pile behavior; Response of piles to tunneling; Response of piles to deep excavations; Summary of literature; Green field displacements; Building deformations and damage; Soil-structure interaction.

• Chapter 3. Previous Case HistoriesIntroduction; Chater Station, Hong Kong (Davies and Henkel, 1982); Situation; Effects of the construction; Final deformations and damage; Conclusion from Chater station case history; KPE Singapore (Lee et al., 2007); Introduction; Damage prediction and results; Conclusion from Lee et al. (2007) case history; Excavation next to Xavier Warde School, Chicago (Finno et al., 2002); Situation and construction works; Deformations and building damage; Conclusion from Xavier Warde School case history; Willemspoortunnel
• White House Rotterdam.

• Introduction and soil conditionsDetails of the White House building; Construction characteristics for Willemspoortunnel; Response of the 'White House'; Conclusions; Conclusions from previous case histories;
• Chapter 4. Field Data North South Line; Introduction; Soils characteristics; Geology and geohydrology; Soil profile; Soil parameters; Subsidence in Amsterdam; Building characteristics; Buildings in Amsterdam; Typical timber foundations; Foundation quality assessment method Amsterdam; Pile capacity and load-settlement behavior; Rokin Station; History; Station overview; Cross sections.

• Diaphragm wall and excavation supportsBuildings around Rokin Station; Construction activities and timelines; Vijzelgracht Station; Station overview; Cross section 12197; Cross section 12270; Diaphragm wall and excavation supports; Buildings around Vijzelgracht Station; Construction activities and timelines; Incidents; Ceintuurbaan Station; Station overview; Cross section 13044; Cross section 13110; Diaphragm wall and excavation supports; Building characteristics around Ceintuurbaan Station; Construction activities and timelines; Monitoring System; Introduction monitoring system.

Deep excavations in densely populated urban areas around the world pose specific challenges due to the increasingly complex conditions in which they are undertaken. The construction of underground car parks, cellar storage areas and major infrastructure in deep excavations helps to preserve the quality of space above ground. Despite the considerable effort that goes into their design and construction, such projects often encounter problems, such as damage to existing structures, delays and cost overruns. This book presents the results of an extensive research project conducted at the Universit.

• Title Page; Contents; Zusammenfassung; Abstract; Acknowledgement;
• Chapter 1. Introduction; Motivation; Problem Statement; Objectives of the Work; Research Methodology; Structure of the Thesis;
• Chapter 2. Background; Terms and Definitions; Smart Grid; Semantic Web Services; Ontology Engineering; Summary;
• Chapter 3. Related Work and Projects; ICT-Architectures in the Energy Domain; Application Areas of SESOA; Other Related Approaches; Defining the Scope of the (S2)In-Approach; Summary;
• Chapter 4. The (S2)In-Approach; Requirements Analysis; Identified Standards; Semantic Information Modeling

• Semantic Services Modeling(S2)In-Architecture; Summary; Chapter 5. Evaluation; Derivation of Measurable Requirements; Use Cases Development; Prototypical Implementation; Discussion of Test Cases Related to the Use Cases; Summary; Chapter 6. Results and Future Work; Review and Summary; Practical Relevance of the (S2)In-Approach; Conclusion and Main Values of the Accomplished Work; Outlook; Chapter A. Core Results of a Conceptual Comparison of OWL-S and WSMO; Chapter B. Use Case Template; SGCG WG-SP Use Case Template
• Short Version 0.55); SGCG WG-SP Use Case Template
• Detailed Version 0.55)

• Chapter C. Complex OPC UA Use Case for Smart GridsChapter D. IntelliGrid Issues and Metrics; Chapter E. Preliminary Work; Glossary; Abbreviations; Figures; Tables; Listings; Bibliography; Index

The scope of the research presented includes semantic-based integration of data services in smart grids achieved through following the proposed (S2)In-approach developed corresponding to design science guidelines. This approach identifies standards and specifications, which are integrated in order to build the basis for the (S2)In-architecture. A process model is introduced in the beginning, which serves as framework for developing the target architecture. The first step of the process stipulates to define requirements for smart grid ICT-architectures being derived from established studies and.