
The Semantic Web: Research and Applications
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions

Content
- Title
- Preface
- Organization
- Table of Contents
- Invited Talks
- Semantic Web/LD at a Crossroads: Into the Garbage Can or To Theory?
- New Audiences for Ontologies: Dealing with Complexity in Business Processes
- Bringing (Web) Databases to the Masses
- Large Scale Learning at Twitter
- Musubi: A Decentralized Mobile Social Web
- Data Value Chain in Europe
- Cutting through the Noise: How to Shape Public Perception, Frame the Debate and Effectively Engage Your Audience in the Digital Age
- Linked Open Data Track
- SPARQL for aWeb of Linked Data: Semantics and Computability
- Introduction
- Preliminaries
- Modeling a Web of Linked Data
- Data Model
- Computation Model
- Full-Web Semantics
- Satisfiability, Nontrivial Satisfiability, Monotonicity, and Computability
- Querying an Infinite Web of Linked Data
- Reachability-Based Semantics
- Definition
- Completeness and Infiniteness
- Satisfiability, Nontrivial Satisfiability, Monotonicity, and Computability
- Conclusions
- References
- Linked Data-Based Concept Recommendation: Comparison of Different Methods in Open Innovation Scenario
- Introduction
- State of the Art
- Linked Data-Based Concept Recommendation Approaches
- Structure-Based Similarity
- Structure-Based Statistical Semantics Similarity
- Gold Standard-Based Evaluation
- Results
- User Evaluation
- Conclusion
- References
- Finding Co-solvers on Twitter, with a Little Help from Linked Data
- Introduction
- Background and Related Work
- Open Innovation and the Need for Co-solvers
- Recommending People
- Expert Finding
- Measures of Semantic Relatedness Usable for Profile Expansion
- Recommending Co-solvers
- General Approach
- Profiling
- Core Similarity Measures and Similarity Scoring
- Profile Expansion Using Semantic Relatedness Measures
- Evaluation
- Evaluation 1
- Evaluation 2
- Conclusions and Future Work
- References
- Top-k Linked Data Query Processing
- Introduction
- Linked Data Query Processing
- Top-k Join Linked Data Query Processing
- Preliminaries
- Push-Based Top-k Join Processing
- Improving Threshold Estimation
- Early Pruning of Partial Results
- Experimental Evaluation
- Related Work
- Conclusion
- References
- Preserving Information Content in RDF Using Bounded Homomorphisms
- Introduction
- RDF Graphs and RDF Homomorphisms
- Syntax and Semantics of SPARQL
- Degrees of Conservativeness
- Generalising the Conservativeness Criterion
- Computational Properties
- Conclusion and Future Work
- References
- Assessing Linked Data Mappings Using Network Measures
- Introduction
- Network Definitions
- Network Metrics
- Degree
- Clustering Coefficient
- Centrality
- SameAs Chains
- Descriptive Richness through SameAs
- LINK-QA Analysis Framework
- Components
- Implementation
- Metric Analysis
- Impact of Good and Bad Links
- Detection of Bad Links
- Related Work
- Quality
- Network Analysis on the Web of Data
- Automated Creation of Links
- Conclusion
- References
- A Novel Concept-Based Search for the Web of Data Using UMBEL and a Fuzzy Retrieval Model
- Introduction
- Our Approach and Contributions
- Related Work
- Concept-Based and Clustering-Based Information Retrieval (IR) Systems
- Search Mechanisms on the WoD
- Conceptual Structures and Vocabularies for Concept-Based IR
- Proposed Concept-Based Search on the Web of Data
- Recognizing Context of Linked Open Data Resources
- Representation of Umbel Concept Descriptions
- Categorization of LOD Resources Using a Novel Fuzzy Retrieval Model
- Evaluations
- Setup
- Categorization Accuracy - Precision and Recall
- Computational Efficiency of Dynamic Categorization
- Conclusions and Future Work
- References
- Machine Learning Track
- Unsupervised Learning of Link Discovery Configuration
- Introduction
- Problem Definition and Related Work
- Link Discovery Problem
- Establishing a Decision Rule for Individual Matching
- Algorithm
- Representing Individual Matching in Terms of a Genetic Algorithm
- Fitness Functions: Pseudo-F-measure and Neighbourhood Growth
- Obtaining the Optimal Solution: Genetic Algorithm
- Evaluation
- Settings
- Benchmark Test
- LOD Datasets
- Conclusion and Future Work
- References
- Graph Kernels for RDF Data
- Introduction
- Preliminaries and Related Work
- Preliminaries: Kernels
- Preliminaries: Data Mining Tasks for RDF
- Related Work: General Graph Kernels
- Related Work: Specialized Methods for Mining Semantic Data
- Kernel Functions for RDF Graphs - Design and Implementation
- Kernel Functions Based on Intersection Graphs
- Kernel Functions Based on Intersection Trees
- Evaluation
- Property Value Prediction
- Link Prediction
- Conclusion
- References
- EAGLE: Efficient Active Learning of Link Specifications Using Genetic Programming
- Introduction
- Related Work
- Preliminaries
- Link Discovery
- Link Specifications as Trees
- Approach
- Overview
- Evolution of Population
- Fitness
- Computation of Most Informative Link Candidates
- Evaluation
- Experimental Setup
- Results
- Comparison with other Approaches
- Conclusion and Future Work
- References
- Combining Information Extraction, Deductive Reasoning and Machine Learning for Relation Prediction
- Introduction
- Related Work
- Combining Sensory Information and Knowledge Base
- Relation Prediction from Sensory Inputs
- Relations from the Knowledge Base
- Combining Sensory Information and Knowledge Base
- Adding Relational Machine Learning
- Notation
- A Generative Model
- Calculating the Solution
- Comments and Extensions
- A Joint Probabilistic Model
- Generalization to New Entities
- Aggregation
- Multiple Class Memberships
- Scalability
- Experiments
- Associating Diseases with Genes
- Predicting Writer's Nationality in YAGO2
- Conclusions
- References
- Automatic Configuration Selection Using Ontology Matching Task Profiling
- Introduction
- Preliminaries
- Problem Definition
- Matcher Configurations
- Learning to Automatically Select the Best Configuration
- Ontology Profiling
- Matching Task Profiling
- Automatic Configuration Selection
- Evaluation and Results
- Learning Evaluation
- OAEI Results
- Related Work
- Conclusions and Future Work
- References
- Natural Language Processing and Information Retrieval Track
- TELIX: An RDF-Based Model for Linguistic Annotation
- Introduction
- Linguistic Annotations as RDF Graphs
- TELIX, an Ontology of Linguistic Information
- Text Segmentation
- Words and Senses in RDF
- Linguistic Feature Structures
- Feature Structures as RDF Graphs
- Annotation Support
- Adding Annotations to Structured Text Documents Using RDFa
- Document Preparation
- In-place Document Annotation
- Separate Annotations
- Previous Work
- Conclusions
- References
- LODifier: Generating Linked Data from Unstructured Text
- Introduction
- The System
- Recognizing Named Entities
- Linking DBpedia URIs to Recognized Named Entities
- Recognizing Relations
- Assigning RDF WordNet URIs to Boxer Relations
- Generating an RDF Graph
- Automatic Evaluation: Story Link Detection
- Task and Setup
- Similarity Computation without Structure
- Structurally Informed Similarity Computation
- Results
- Related Work
- Conclusion and Outlook
- References
- POWLA: Modeling Linguistic Corpora in OWL/DL
- Background
- POWLA
- PAULA Data Types
- POWLA TBox: The POWLA Ontology
- POWLA ABox: Modelling Linguistic Annotations in POWLA
- Corpora as Linked Data
- Grounding the POWLA Ontology in Existing Schemes
- Linking Corpora with Lexical-Semantic Resources
- Meta Data and Terminology Repositories
- Results and Discussion
- References
- Ontologies Track
- Representing Mereotopological Relations in OWL Ontologies with OntoPartS
- Introduction
- Mereotopology and OWL
- Extension with Mereotopological Relations
- Limitations for Mereotopology in OWL
- Design and Implementation of OntoPartS
- Requirements, Design, and Core Functionality
- Description of the Selection Procedure
- Preliminary Experimental Assessment of OntoPartS
- Discussion
- Conclusions
- References
- Evaluation of the Music Ontology Framework
- Introduction
- Techniques for Ontology Evaluation
- Qualitative Evaluation
- Structural and Ontological Metrics
- Similarity to a ``Gold-Standard''
- Task-Based Evaluation
- Data-Driven Ontology Evaluation
- A Query-Driven Ontology Evaluation Methodology
- Step 1 - Constructing a Dataset of Verbalised User Needs
- Step 2 - Extracting Query Features
- Step 3 - Computing the Ontology Fit
- Discussion
- Evaluation of the Music Ontology Framework
- Casual Users
- Users of Music Libraries
- Conclusion
- References
- The Current State of SKOS Vocabularies on the Web
- Introduction
- Materials and Methods
- Result and Observation
- Discussion
- Conclusion
- References
- The ISOcat Registry Reloaded
- Introduction
- The ISOcat Data Category Registry
- Specification of Data Categories
- On Data Category Relationships and Definitions
- Expression of ISOcat.org Using Schema.org
- Building the Skeleton
- Re-representation of ISOcat.org (Initial Version)
- Lessons Learned
- Discussion
- Expert Vocabulary: From Glossary to Ontology
- Impact on Existing Metadata Infrastructure
- Conclusion
- References
- SCHEMA - An Algorithm for Automated Product Taxonomy Mapping in E-commerce
- Introduction
- Related Work
- SCHEMA
- General Assumptions
- Source Category Disambiguation
- Candidate Target Category Selection
- Candidate Target Path Key Comparison
- Evaluation
- Evaluation Design
- Results
- Conclusions and Future Work
- References
- Voting Theory for Concept Detection
- Introduction
- Motivation
- Contributions
- Background
- Voting Theory for Concept Detection
- Metrics
- Voting Theory Score-Based Methods
- Voting Theory Rank-Based Methods
- Methodology
- Dataset
- Evaluation Criteria
- Experiments
- Discussion
- Findings
- Limitations
- Conclusion
- References
- Reasoning Track
- Modelling Structured Domains Using Description Graphs and Logic Programming
- Introduction
- Preliminaries
- Motivating Application
- Description Graph Logic Programs
- Semantic Acyclicity
- Reasoning with Negation-Free DGLP ontologies
- Reasoning with Stratified Negation-as-Failure
- Implementation Results and Discussion
- Conclusions and Future Work
- References
- Extending Description Logic Rules
- Introduction
- Preliminaries
- Description Logic Rules and Graph Notation
- Description Logic Rules in SROIQ()
- Satisifiability Preserving Transformations
- Rules with Binary Predicates in the Head
- Examples
- Using Nominal Schemas and SROIQV()
- Conclusions and Future Work
- References
- Prexto: Query Rewriting under Extensional Constraints in DL-Lite
- Introduction
- The Description Logic DL-LiteA
- Extensional Constraints
- Extensional Constraints and Query Rewriting
- Prexto
- Comparison
- Conclusions
- References
- Semantic Data Management Track
- Semi-automatically Mapping Structured Sources into the Semantic Web
- Introduction
- Motivating Example
- Modeling Structured Sources
- Inferring the Semantic Types
- Constructing the Graph
- Generating Source Models
- User Interface for Refining Semantic Models
- Generation of Formal Source Model Specification
- Evaluation
- Related Work
- Discussion
- References
- Castor: A Constraint-Based SPARQL Engine with Active Filter Processing
- Introduction
- Background
- Constraint-Based View of SPARQL Queries
- Implementation
- Constraints
- Mapping RDF Values to Integers
- Variables and Domains
- Triple Indexes
- Experimental Results
- Conclusion
- References
- A Structural Approach to Indexing Triples
- Introduction
- Preliminaries
- Principles of Triple-Based Structural Indexing
- Query Processing with Structural Indexes
- Index Construction
- Applying the Principles in Practice
- Experimental Validation
- Experimental Setup
- Experimental Analysis
- Concluding Remarks
- References
- Domain Specific Data Retrieval on the Semantic Web
- Introduction
- Retrieval Framework
- Data Representation
- Weighting
- Ranking
- Reasoning and Query Expansion
- Experiments
- Method Variants
- Data
- Queries and Relevance Assessments
- Evaluation Metrics
- Statistical Significance
- Results
- Conclusions and Discussion
- References
- Exchange and Consumption of Huge RDF Data
- Introduction
- State-of-the-Art
- Binary RDF Representation (HDT)
- Revisiting HDT for Basic Consumption
- Succinct Data Structures
- Bitmap Triples for SP-O Indexing
- Focusing on Querying (HDT-FoQ)
- Functional Dictionary Serialization
- A Wavelet Tree-Based Solution for PS-O Indexing
- An Additional Adjacency List for OP-S Indexing
- Joining Triple Patterns
- Experimental Evaluation
- Analyzing the Publication-Exchange-Consumption Workflow
- HDT-FoQ in Consumption: Performance for SPARQL Querying
- Conclusions and Future Work
- References
- Impact of Using Relationships between Ontologies to Enhance the Ontology Search Results
- Introduction
- Related Work
- Systems Used
- Methodology
- Participants
- Tasks
- Data Collection
- Results
- User Efficiency
- User Satisfaction
- Analysis of the Ontology Relationships
- Conclusion and Future Work
- References
- Enhancing OLAP Analysis with Web Cubes
- Introduction
- Motivation and Problem Statement
- Preliminaries
- OLAP Cubes Specification in RDF
- Operating with Web Cubes
- A General Algorithm for Roll-Up over Open Cubes
- Exporting Web Cubes to a Local DSS
- Related Work
- Conclusion and Open Problems
- References
- Query-Independent Learning to Rank for RDF Entity Search
- Introduction
- Related Work
- Query-Dependent Content Relevance
- Query-Independent Features
- Query Independent Learning to Rank over RDF
- Learning to Rank
- Rank SVM
- Feature Extraction
- Experiments
- Datasets and Queries
- Ground Truth: Human Judgments vs. Access Logs Information
- Systems
- Evaluation of Learning to Rank
- Conclusions and Future Work
- References
- Services, Processes and Cloud Computing Track
- COV4SWS.KOM: Information Quality-Aware Matchmaking for Semantic Services
- Introduction
- Service Descriptions Using WSDL 2.0 and SAWSDL
- Information Quality-Based Matchmaking
- Operations-Focused Matching
- Assignment of Similarities
- OLS-Based Automatic Weight Adaption
- Experimental Evaluation
- Evaluation Setup
- Applied Metrics
- Results and Discussion
- Related Work
- Conclusion
- References
- Social Web and Web Science Track
- Automatic Identification of Best Answers in Online Enquiry Communities
- Introduction
- Related Work
- Predicting Quality of Answers
- User Features
- Content Features
- Thread Features
- Core vs Extended Feature Sets
- Datasets
- SAP Community Network
- Server Fault
- Cooking Websites
- Features Inferencing and Representation
- Best Answer Identification
- Experimental Setting
- Results: Model Comparison
- Results: Feature Comparison
- Discussion and Future Work
- Conclusions
- References
- Characterising Emergent Semantics in Twitter Lists
- Introduction
- Obtaining Relations between Keywords from Lists
- Characterising Relations between Keywords
- Similarity Measures Based on WordNet
- Linked Data to Identify Relation Types
- Experiment Description
- Related Work
- Conclusions
- References
- Crowdsourcing Taxonomies
- Introduction
- Problem Statement, Rationale, and Challenges
- The Model, Solution Invariants, and Assumptions
- Formal Formulation and Analysis
- Crowdsourced Taxonomy Building Algorithm
- The Core Algorithm: CrowdTaxonomy
- Asymptotic Complexity Analysis
- Experimentation
- Synthetic Experiments
- Crowdsourcing Experiment
- Related Work
- Conclusions
- References
- In-use and Industrial Track
- Generating Possible Interpretations for Statistics from Linked Open Data
- Introduction
- Approach
- Data Preparation
- Generation of Hypotheses
- Presentation of Hypotheses
- Experimental Evaluation
- Setup
- Results
- Related Work
- Conclusion and Future Work
- References
- Green-Thumb Camera: LOD Application for Field IT
- Introduction
- Proposal of Plant Recommendation Service
- Problems and Approaches
- Plant Recommendation Service
- Implementation of LOD/SPARQL for Android
- Experimental Test of Plant Recommendation
- Related Work
- Conclusion and Future Work
- References
- Assembling Rule Mashups in the Semantic Web
- Introduction and Motivation
- Moving between RIF and RDF
- From RIF Documents to RDF Graphs
- From RDF Graphs to RIF Documents
- RIF Assembler
- Usage Scenarios
- Health Care Scenario
- Steel Industry Scenario
- Related Work
- Conclusions
- References
- Product Customization as Linked Data
- Introduction and Motivation
- Product Range Specification and Configuration
- Product Range Specification
- Presenting a Range of Customizable Products to Customers
- Features of a Configuration Engine
- Related Work
- Configuration API
- Configuration as Linked Data
- Querying
- Use Case: Implementing Text Search
- Renault Implementation
- Configuration Ontology
- Main Classes
- Definition of a Configuration
- Description of a Configuration
- Integration with GoodRelations
- Vocabularies for Specifications
- Indexing Configurations
- Benefits
- Improved Architecture
- Reduced Development Costs of Client Applications
- Benefits of Universal Configuration Identifiers
- e-business Use Case Example: Targeted ads
- Conclusion
- References
- From Web 1.0 to Social Semantic Web: Lessons Learnt from a Migration to a Medical Semantic Wiki
- Introduction
- Context
- Application Context
- Scientific Context
- From Web 1.0 to Web 2.0
- Choosing a Semantic Wiki Engine
- Importing Guideline Content
- User Right Management
- KcatoS, a Decision Tree Editor
- Introducing and Exploiting Formalised Knowledge
- Extracting Decision Knowledge from Decision Trees
- Using Semantic Tools of Wiki
- Querying Resources of Web of Data
- Evaluation
- Related Work
- Lessons Learnt and Future Work
- References
- Semantics Visualization for Fostering Search Result Comprehension
- Introduction
- Visualizing Search Results in Semantic Domains
- Visualizing Query-Result-Relations
- Semantic Neighborhood and Hierarchical Attributes
- Mapping Results' Relevance to Visual Properties
- Visual Feedback for Query Enhancement
- Application Scenario
- Evaluation
- Experimental Design
- Procedure
- Results
- Related Work
- Discussion
- Conclusion and Future Work
- References
- Evaluating Scientific Hypotheses Using the SPARQL Inferencing Notation
- Introduction
- Methods
- Overview
- HyQue Hypothesis Model
- HyQue Knowledge Base (HKB)
- The HyQue Scoring System
- HyQue SPIN Rules
- Executing HyQue SPIN Rules over the HKB
- Results
- Evaluating a Hypothesis about GAL Gene Induction and Protein Inhibition
- Changing a Domain Specific Rule Affects Hypothesis Evaluation
- Discussion
- Conclusions
- References
- Declarative Representation of Programming Access to Ontologies
- Introduction
- Scenario, Example and Problem
- Scenario: An Ontological Multimedia Annotation Framework
- Example: Ontology-Based Modeling of Multimedia Metadata
- Issues with APIs Provided by Existing Frameworks
- Solution: Reference API for the Example Ontology
- Requirements for Programming Access to Ontologies
- Requirements on the Pragmatic Programming Access
- Requirements on the Process for Generating Programming Access to Ontologies
- Programming Access to Ontologies with OntoMDE
- Step 1: From Ontology T-Box to MoOn
- Step 2: From MoOn to OAM
- Case Studies and Lessons Learned
- Related Work
- Conclusion
- References
- Clinical Trial and Disease Search with Ad Hoc Interactive Ontology Alignments
- Introduction
- Clinical Problem Statement
- Proposed Workflow
- String-Based Interactive Matching Approach
- Evaluation
- Conclusion
- References
- Towards Fuzzy Query-Relaxation for RDF
- Introduction
- Use-Case Overview
- Background and State-of-the-Art
- Relaxation Framework
- Generating Similarity Tables for Categorical Values
- Proof of Concept
- Vehicles Scenario and Data
- Mining DBpedia for Background Information
- Comparing Concurrence vs. Numerical Matching
- Experimenting with Query Relaxation
- Conclusion
- References
- Learning Driver Preferences of POIs Using a Semantic Web Knowledge System
- Introduction
- The Supe System
- Overview
- The Supe Semantic Web Knowledge System
- Building Driver Preferences from Tracked POI Data
- Ordering POIs According to User's Preference
- Evaluation and Discussion
- Related Work
- Conclusion and Future Work
- References
- Digital Libraries and Cultural Heritage Track
- An Approach for Named Entity Recognition in Poorly Structured Data
- Introduction
- Problem and Related Work
- Approach
- Analysis
- Entity Types
- Predictive Model
- Features
- Implementation Details
- Evaluation
- Evaluation Data Set
- Evaluation Procedure
- Results
- Feature Evaluation
- Conclusion and Future Work
- References
- Supporting Linked Data Production for Cultural Heritage Institutes: The Amsterdam Museum Case Study
- Introduction
- Methodology Overview
- XMLRDF Conversion Tool
- Step 2: Syntactic Conversion to RDF
- Step 3: Enriching the RDF
- Step 4: Mapping to Interoperability Layer
- Step 5: Vocabulary Alignment Using Amalgame
- Case Study: Amsterdam Museum
- Amsterdam Museum Metadata
- The Europeana Data Model
- Producing RDF Using XMLRDF
- Producing Links to External Sources Using Amalgame
- Serving Amsterdam Museum Linked Open Data
- Related Work
- Discussion and Future Work
- References
- Curate and Storyspace: An Ontology and Web-Based Environment for Describing Curatorial Narratives
- Introduction
- Related Work
- The Curate Ontology
- Story, Plot and Narrative
- Stories and Heritage Objects
- Facets, Events and Event Descriptions
- Plots, Events and Story Components
- Narrative Components
- Storyspace
- Modeling Stories with Storyspace
- Structured Interview
- Conclusions and Future Work
- References
- Bringing Mathematics to the Web of Data: The Case of the Mathematics Subject Classification
- Introduction: The MSC and Its Applications
- Requirements for a Reimplementation
- Design of the MSC/SKOS Concept Scheme
- Deployment and Publication
- Benefits Experienced and Difficulties Encountered
- Use Case: The Linked Universities Initiative
- Related Work
- Conclusion
- Roadmap Towards a Math. Web of Data
- References
- EGovernment Track
- A Publishing Pipeline for Linked Government Data
- Introduction
- LGD Publishing Pipeline
- Machine Readable Catalogues
- Data Clean-up
- Converting Raw Data into RDF
- Interlinking
- Sharing
- Case Study - Fingal County Catalogue
- Machine-Readable Catalogue
- Data Cleaning-up
- Interlinking
- RDF-izing
- Sharing
- Related Work
- Future Work and Conclusion
- References
- Achieving Interoperability through Semantic Technologies in the Public Administration
- Introduction
- Related Works
- Interoperability Aspects within ProDe
- Toward Achieving Interoperability in ProDe
- The MoKi Architecture and Tool
- Interoperability in ProDe: What We Did, What We Learned and What We Will Do Next
- Users Interoperability
- Procedures Interoperability
- Lexicon Interoperability
- Formal Language Interoperability
- Organizational and Technological Interoperability
- Additional General Lesson Learned
- Conclusions
- References
- PhD Symposium
- Tackling Incompleteness in Information Extraction - A Complementarity Approach
- Motivation
- Proposed Approach
- Contribution of the Research Work
- The Complementarity Approach
- Background
- Planned Research Work
- References
- A Framework for Ontology Usage Analysis
- Research Problem and Motivation
- State of the Art
- Methodology and Approach
- Initial Results and Proposed Benefits
- Conclusion and Future Work
- References
- Formal Specification of Ontology Networks
- Motivation and Research Questions
- State of the Art
- The Proposed Approach
- Research Methodology
- Results
- References
- Leveraging Linked Data Analysis for Semantic Recommender Systems
- Motivation
- Related Work
- Proposed Approach
- Methodology
- References
- Sharing Statistics for SPARQL Federation Optimization, with Emphasis on Benchmark Quality
- Motivation
- State of the Art and Open Problems
- In SPARQL Federation
- In Benchmarking
- Proposed Approach and Methodology
- In SPARQL Federation
- In Benchmarking
- References
- A Reuse-Based Lightweight Method for Developing Linked Data Ontologies and Vocabularies
- Motivation and Research Questions
- State of the Art
- Proposed Approach
- Planned Research Methodology
- Conclusion
- References
- Optimising XML-RDF Data Integration A Formal Approach to Improve XSPARQL Efficiency
- Integrating XML and RDF Data Lacks Efficiency
- Related Work
- A Formal Model for Cross-Format Optimisation
- Research Methodology
- References
- Software Architectures for Scalable Ontology Networks
- Introduction
- Problem Statement and Research Questions
- Related Work
- Approach and Implementation
- Validation
- References
- Identifying Complex Semantic Matches
- Motivation
- State of the Art
- Research Approach and Methodology
- Current Work
- References
- Data Linking with Ontology Alignment
- Motivation and Research Questions
- State of the Art
- Proposed Approach
- Planned Research Methodology
- References
- A Semantic Policy Sharing Infrastructure for Pervasive Communities
- Introduction and Motivation
- Related Work
- Approach and Methodology
- Preliminary Results
- Conclusions
- References
- Involving Domain Experts in Ontology Construction: A Template Based Approach
- Introduction
- Previous and Related Work
- Supporting Domain Experts in Conceptual Modelling with Moki
- Results and Future Work
- References
- Quality Assurance in Collaboratively Created Web Vocabularies
- Motivation
- Related Work
- Proposed Approach
- Research Methodology
- Preliminary Results and Conclusion
- References
- Author Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.