The Semantic Web

Name: The Semantic Web | 14th International Conference, ESWC 2017, Portoroz, Slovenia, May 28 - June 1, 2017, Proceedings, Part II
Brand: Springer
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14th International Conference, ESWC 2017, Portoroz, Slovenia, May 28 - June 1, 2017, Proceedings, Part II

Eva Blomqvist Diana Maynard Aldo Gangemi Rinke Hoekstra Pascal Hitzler Olaf Hartig(Editor)

Springer (Publisher)

Published on 15. May 2017

XXX, 281 pages

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978-3-319-58451-5 (ISBN)

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Content

Intro
Preface
Organization
Abstract of Keynotes
Bringing Semantic Intelligence to Financial Markets
Disrupting the Semantic Comfort Zone
Semantic Web Technologies for Digital Archives
Contents -- Part II
Contents - Part I
In Use and Industrial Track
Applying Semantic Web Technologies to Assess Maintenance Tasks from Operational Interruptions: A Use-Case at Airbus
1 Introduction
2 Problem Statement
2.1 Domain Description
2.2 Our Approach
3 Vocabularies and Data Model
3.1 OI Vocabulary
3.2 Task Vocabulary
4 RDF Dataset
5 Semantic Annotation
5.1 SKOS-ification Process
5.2 Content Annotation
6 Graph Matching Algorithm
7 Experiments and Results
7.1 Experiments
7.2 Results
7.3 Evaluation
8 Lessons Learned
9 Related Work
10 Conclusion and Future Work
References
Modeling Company Risk and Importance in Supply Graphs
1 Introduction
2 Related Work
3 Building a Supply Graph
3.1 Supply Relations Data
3.2 Company Attributes
3.3 Database
3.4 World Input-Output Database (WIOD)
4 Scoring Method
4.1 Scoring Supply Chain Importance
4.2 Scoring Supply Chain Risk
5 System Description
5.1 Application Programming Interfaces
5.2 Interface
6 Experiments
7 Summary, Conclusions and Future Work
References
Declarative Data Transformations for Linked Data Generation: The Case of DBpedia
1 Introduction
2 State of the Art
3 Limitations and Requirements
3.1 Limitations of Current Systems
3.2 Requirements for Future Systems
4 Declarative Data Transformations
4.1 The Function Ontology (FnO)
4.2 The RDF Mapping Language (RML)
4.3 Model Integration
4.4 Implementation
5 Application to DBpedia
5.1 Current Generation Workflow with the DBpedia EF
5.2 New Generation Workflow with RML and FnO
5.3 Validation
6 Conclusion and Future Work
References
BalOnSe: Temporal Aspects of Dance Movement and Its Ontological Representation
1 Introduction
2 Requirements and Specifications
3 Movement Description
3.1 MoveOnto
3.2 Time Representation and DatalogMTL
3.3 Movement Representations and Rules
4 BalOnSe Platform
4.1 BalOnSe Components
4.2 User Interface
4.3 Annotations Storage and Management
4.4 Query Transformation and Execution
5 Novelty and Impact
6 Conclusions and Future Work
References
Reasoning on Engineering Knowledge: Applications and Desired Features
Abstract
1 Introduction
2 Concept of Extracting Knowledge About Skills
3 Representing Engineering Data in an OWL Ontology
4 Reasoning on Engineering Information
4.1 R0: Standardized Rule Functionality
4.2 D1: Creating New Individuals Representing Generated Knowledge
4.3 D2: Calculations
4.4 D3: Defeasible Reasoning
4.5 Implementation
5 Summary, Conclusion and Outlook
References
A Compressed, Inference-Enabled Encoding Scheme for RDF Stream Processing
1 Introduction
2 Architecture
3 Running Scenario
4 Compression Approaches
4.1 Knowledge Base Encoding
4.2 RDF Distributed Stream Compression
5 Inference Solution
5.1 Materialization
5.2 Query Reformulation
6 Evaluation
6.1 Computational Environment
6.2 Datasets
6.3 Results
7 Related Work
8 Conclusion and Lessons Learned
References
From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards
1 Introduction
2 Related Work
2.1 City Modeling
2.2 Data Annotation
2.3 Indicators
3 City Knowledge Graph
3.1 Metadata Ontologies
3.2 Indicator and Domain Ontologies
3.3 KG Serialization
4 Dashboard Application
4.1 Dataset Characterization and KG Manipulation
4.2 Dashboard Building
5 Conclusion and Future Work
References
Ontology-Driven Unified Governance in Software Engineering: The PoolParty Case Study
1 Introduction
2 Related Work
3 Motivating Scenario
4 Requirements for Unified Governance
5 The Knowledge Representation Framework
5.1 Mapping Epic to Design Requirements
5.2 Mapping User Story to Design Intent
5.3 Mapping JIRA Design Issues
6 Data Extraction Workflow
6.1 Extraction Tool
6.2 Integration into a Processing Pipeline
7 Evaluation
8 Conclusions
References
A Hypercat-Enabled Semantic Internet of Things Data Hub
1 Introduction
2 Background
3 BT Hypercat Ontology
4 Data Translation
4.1 RDF Adapter
4.2 SPARQL to SQL
5 BT SPARQL Endpoint
6 Federated Querying
7 Use Cases
7.1 The SimplifAI Project
7.2 City Concierge
8 Conclusion
References
ArmaTweet: Detecting Events by Semantic Tweet Analysis
1 Introduction
2 Related Work
3 Motivation and Methodology
4 Natural Language Processing of Tweets
5 Semantic Analysis
5.1 The RDF Knowledge Graph for Event Detection
5.2 Resolving Location in the Knowledge Graph
5.3 Describing Complex Events and Extracting Time Series
6 Event Detection
7 Evaluation
8 Conclusion
References
smartAPI: Towards a More Intelligent Network of Web APIs
1 API Interoperability
2 Related Work
2.1 Challenges of Finding APIs
2.2 Challenges of Reusing APIs
2.3 Annotations for Developers
2.4 Descriptions for Automated Clients
3 Survey of API Metadata in the Wild
4 SmartAPI Metadata Specification
5 SmartAPI Implementation
6 SmartAPI Use Cases
7 Conclusions and Future Work
References
PhD Symposium
Automating the Dynamic Interactions of Self-governed Components in Distributed Architectures
1 Introduction
2 State of the Art
3 Problem Statement and Contributions
3.1 Validating and Updating Semantic Descriptions of Web Components
3.2 Spontaneous Connector for Self-governed Components
3.3 Delegation of Communication Responsibility in Distributed Architectures
4 Research Methodology and Approach
4.1 Validating and Deriving Descriptions of Self-governed Components
4.2 Spontaneous Connector for Self-governed Components
4.3 Delegation of Communication Responsibility
5 Preliminary Results
6 Evaluation Plan
7 Conclusion
References
Building and Processing a Knowledge-Graph for Legal Data
1 Introduction
2 State of the Art
3 Problem Statement and Contributions
4 Research Methodology and Approach
5 Preliminary Results
6 Evaluation Plan
7 Conclusion
References
Ontology Matching Algorithms for Data Model Alignment in Big Data
1 Introduction
2 State of the Art
3 Problem Statement and Contributions
3.1 Problem Statement
3.2 Contributions
4 Research Methodology and Approach
4.1 Research Stage 1
4.2 Research Stage 2
4.3 Research Stage 3
5 Preliminary Results
6 Evaluation Plan
7 Conclusion
References
Ontology-Based Data Access Mapping Generation Using Data, Schema, Query, and Mapping Knowledge
1 Introduction
2 State of the Art
2.1 Mapping Generation Tools
2.2 Mapping Generation Evaluation
3 Problem Statement
4 Research Methodology and Approach
4.1 Discover Existing DSQM Knowledge
4.2 Use DSQM Knowledge
5 Preliminary Results
6 Evaluation Plan
6.1 Mapping Quality
6.2 Task Complexity
7 Conclusion
References
Engaging Librarians in the Process of Interlinking RDF Resources
1 Introduction
2 Motivation
2.1 The Potential Role of Librarians in SW Development
2.2 Challenges Faced by Libraries in Participating in the SW
3 State of the Art
4 Problem Statement and Contributions
5 Research Methodology and Approach
6 Preliminary Results
7 Evaluation Plan
8 Conclusions
References
A Knowledge-Based Framework for Improving Accessibility of Web Sites
1 Introduction
2 State of the Art
3 Problem Statement and Contributions
4 Research Methodology and Approach
5 Preliminary Results and Current Work
6 Evaluation Plan
7 Conclusions
References
Iterative Approach for Information Extraction and Ontology Learning from Textual Aviation Safety Reports
1 Introduction
2 State of the Art
3 Problem Statement and Contributions
4 Research Methodology and Approach
5 Preliminary Results
6 Evaluation Plan
7 Conclusions
References
Integrative Data Management for Reproducibility of Microscopy Experiments
1 Introduction
2 State of the Art
3 Problem Statement
4 Research Methodology and Approach
5 Preliminary Results
6 Evaluation Plan
7 Conclusions
References
Towards an Open Extensible Framework for Empirical Benchmarking of Data Management Solutions: LITMUS
1 Introduction
2 State of the Art
3 Problem Statement and Contributions
3.1 Challenges to Be Addressed
3.2 Focus of the LITMUS Framework
3.3 Planned Outcomes
4 Research Approach and Initial Results
5 Evaluation Plan and Conclusion
References
Enhancing White-Box Machine Learning Processes by Incorporating Semantic Background Knowledge
1 Introduction
2 Use Case: Primary Headache Diagnosis
3 Related Work
3.1 Automatic Feature Discovery
3.2 Class Balancing
3.3 Feature Selection
4 Problem Statement
5 Methodology
5.1 Automatic Feature Discovery
5.2 Class Balancing
5.3 Feature Selection
6 Evaluation
7 Conclusion
References
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