The Semantic Web

Name: The Semantic Web | 16th International Conference, ESWC 2019, Portoroz, Slovenia, June 2-6, 2019, Proceedings
Brand: Springer
Price: 96.29 EUR
Availability: OnlineOnly

16th International Conference, ESWC 2019, Portoroz, Slovenia, June 2-6, 2019, Proceedings

Pascal Hitzler Miriam Fernández Krzysztof Janowicz Amrapali Zaveri Alasdair J.G. Gray Vanessa Lopez Armin Haller Karl Hammar(Editor)

Springer (Publisher)

Published on 24. May 2019

XXX, 622 pages

E-Book

PDF with digital watermarking

System requirements

978-3-030-21348-0 (ISBN)

€96.29incl. 7% vat

System requirements

for PDF with digital watermarking

E-Book Single Licence

Available for download

Description

More details

Other editions

Persons

Content

Intro
Preface
Organization
Sponsors
Contents
Research Track
A Decentralized Architecture for Sharing and Querying Semantic Data
1 Introduction
2 Related Work
3 PIQNIC
3.1 Data Fragmentation
3.2 Network Architecture
3.3 Replication of Datasets
4 Query Processing
5 Evaluation
6 Conclusions
References
Reformulation-Based Query Answering for RDF Graphs with RDFS Ontologies
1 Introduction
2 Preliminaries
2.1 RDF Graph
2.2 RDF Entailment Rules
2.3 Basic Graph Pattern Queries
3 Prior Related Work
4 Extending Query Reformulation to Queries over the Ontology
4.1 Overview of Our Query Reformulation Technique
4.2 Reformulation Rules Associated with Rc
4.3 Reformulation Algorithm Associated with Rc
5 Experimental Evaluation
6 Conclusion
References
A Hybrid Graph Model for Distant Supervision Relation Extraction
1 Introduction
2 Background
2.1 Various Types of Background Information
2.2 Graph Convolutional Network
3 Methodology
3.1 Problem Definition
3.2 Overview
3.3 Encoders
3.4 Graph Convolutional Network with Attention
3.5 Optimization
4 Experiments
4.1 Dataset and Metrics
4.2 Experimental Settings
4.3 Precision-Recall Curve Comparison
4.4 Model Robustness
4.5 Case Study
5 Related Work
5.1 Distant Supervision
5.2 Neural Network Methods
5.3 Methods with Background Information
6 Conclusion and Future Work
References
Retrieving Textual Evidence for Knowledge Graph Facts
1 Introduction
2 Related Work
2.1 Passage Retrieval for Knowledge Graph Facts
2.2 Word Embeddings for Information Retrieval
3 Retrieving Textual Evidence
3.1 Exact Matching
3.2 Semantic Matching
3.3 FacTify Model
4 Evaluation
4.1 Baselines
4.2 Evaluation Setup
4.3 Benchmark
4.4 Results
4.5 Discussion
5 Conclusion
References
Boosting DL Concept Learners
1 Introduction and Motivation
2 Related Work
3 The Learning Problem
4 Boosting a Concept Learner
4.1 Basics of Boosting
4.2 Learning Confidence-Rated Hypotheses in DL
5 Designing a Simple and Fast Weak Learner
5.1 wDLF: A Weak Learner Derived from DL-Foil
5.2 Heuristics
6 Empirical Evaluation
6.1 Design and Setup of the Experiments
6.2 Aggregate Results and Discussion
6.3 Examples of Induced Ensembles
7 Conclusions and Outlook
References
Link Prediction in Knowledge Graphs with Concepts of Nearest Neighbours
1 Introduction
2 Related Work
3 Preliminaries
4 Concepts of Nearest Neighbours (CNN)
4.1 Theoretical Definitions
4.2 Algorithmic and Practical Aspects
5 Link Prediction
6 Experiments
6.1 Methodology
6.2 Results
6.3 In-Depth Analysis
6.4 Example Inferences and Explanations
7 Conclusion
References
Disclosing Citation Meanings for Augmented Research Retrieval and Exploration
1 Introduction
2 Related Work
3 Data and Preprocessing Tools
3.1 Data
3.2 Snippet Extraction
3.3 Snippet Linking
4 Semantic Analysis
4.1 Text Transformation
4.2 Syntax-Based Snippet Tokenization
4.3 Dimensionality Reduction
5 Citation Meanings Extraction
5.1 Citation Clustering
5.2 Cluster Labeling
6 Model and Method Complexity
7 Evaluation
7.1 Application: Citation Explorer
7.2 Reliability of the Extracted Citation Meanings
8 Conclusions and Future Work
References
Injecting Domain Knowledge in Electronic Medical Records to Improve Hospitalization Prediction
1 Introduction
2 Related Work
3 Enriching Vector Representations of EMRs with Ontological Knowledge
3.1 Extraction of Ontological Knowledge from EMRs
3.2 Integrating Ontological Knowledge in a Vector Representation
4 Experiments and Results
4.1 Dataset and Protocol
4.2 Selected Machine Learning Algorithms
4.3 Results
4.4 Discussion
5 Conclusion and Future Work
References
Explore and Exploit. Dictionary Expansion with Human-in-the-Loop
1 Introduction
2 Related Work
3 Approach
3.1 Explore
3.2 Exploit
4 Evaluation
4.1 Dictionary Growth
4.2 Impact of the Human-in-the-loop on the Dictionary Growth
4.3 Generating ``Future Proof'' Dictionaries
5 Conclusions
References
Aligning Biomedical Metadata with Ontologies Using Clustering and Embeddings
1 Introduction
2 Related Work
3 Methods
4 Results
4.1 Clustering Metadata Field Names
4.2 Alignments Between Field Names and Ontology Terms
5 Evaluation by Expert Panel
5.1 Semi-structured Interview Design
5.2 Expert Panel Results
6 Conclusions
References
Generating Semantic Aspects for Queries
1 Introduction
2 Preliminaries
3 Generating Factors
4 The xFactor Algorithm
5 Properties of the xFactor Algorithm
6 Evaluation
6.1 Annotated Document Collections
6.2 Ground Truth Semantic Aspects and Queries
6.3 Measures
6.4 Evaluation Setup
6.5 Results for Quality
6.6 Results for Ranking
7 Related Work
8 Conclusions
References
A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context
1 Introduction
2 Background and Mathematical Notation
2.1 Notation
2.2 Automation Solutions
2.3 Knowledge Graphs
3 Related Methods
3.1 Recommender Systems
3.2 Autoencoders
4 Our Method - NECTR
4.1 Problem Setup
4.2 Architecture
5 Real-World Experimental Study
5.1 Data
5.2 Evaluation
5.3 Results
5.4 Additional Experiments
6 Conclusion
References
Learning URI Selection Criteria to Improve the Crawling of Linked Open Data
1 Introduction
2 Related Work
3 Preliminary Knowledge
4 Prediction Model for Crawling Criteria
4.1 Task Description
4.2 Feature Extraction
4.3 Feature Hashing
4.4 Online Prediction
5 Implementation of Crawler
6 Evaluation
6.1 Feature Set Evaluation
6.2 Online Versus Offline
6.3 Processing Time of Per Selection
7 Conclusion
References
Deontic Reasoning for Legal Ontologies
1 Introduction
2 Related Work
3 Scope of the Modeling
4 Rule Modeling
5 Answering Deontic Questions
5.1 Drawing a Deontic Conclusion
5.2 Building of Pros(Q), Cons(Q), Pros(Q) and Cons(Q)
5.3 Exceptions to a Conclusion
6 Detailed Examples
6.1 Qa Is it Allowed to Navigate Near the PNC for Military Vessels?
6.2 Qb Is Any Vessel Allowed to Navigate Near the PNC?
6.3 Qc Is it Prohibited to Any Vessel to Navigate Near the PNC?
7 Future Work
8 Conclusion
References
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-task Learning
1 Introduction
2 Related Work
3 Model Description
3.1 Attention Based Seq-to-Seq Model
3.2 Predicting Intent
3.3 Training Joint Text and Knowledge Graph Embeddings
3.4 Regularizing Using Additional Entity Loss
3.5 Final Objective Function
3.6 Key-Value Entity Look-Up
4 Experiments
4.1 Dataset
4.2 Pre-processing and Model Hyperparameters
4.3 Results
5 Ablation Study
6 Qualitative Analysis
7 Error Analysis
8 Conclusions and Future Work
References
Link Prediction Using Multi Part Embeddings
1 Introduction
2 Background and Related Works
2.1 Scoring Functions
2.2 Loss Functions
2.3 Ranking Evaluation Metrics
3 The TriModel Model
3.1 Motivation
3.2 TriModel Embeddings Interactions
3.3 Training the TriModel Model
4 Experiments
4.1 Data
4.2 Implementation
4.3 Experiments Setup
5 Results and Discussion
5.1 Results of the Ranking Loss Configuration
5.2 Results of the Multi-class Loss Configuration
5.3 Ranking and Multi-class Approaches
6 Conclusions and Future Work
References
Modelling the Compatibility of Licenses
1 Introduction
2 Related Work
3 CaLi: A Lattice-Based License Model
3.1 Formal Model Description
3.2 Example 1
4 A CaLi Ordering for Creative Commons
4.1 Description of a CC Ordering Based on CaLi
4.2 Analysis of CC_CaLi
5 Implementation of CaLi Orderings
5.1 Experimental Validation
5.2 A Search Engine Based on an ODRL CaLi Ordering
6 Conclusions and Perspectives
References
GConsent - A Consent Ontology Based on the GDPR
1 Introduction
2 Related Work
3 Ontology Creation
3.1 Methodology
3.2 Information Collection and Analysis
3.3 Use-Cases and Scenarios
3.4 Evaluation
4 GConsent Ontology
4.1 Ontology Overview
4.2 Example Use-Case
4.3 Limitations
5 Conclusion and Future Work
References
Latent Relational Model for Relation Extraction
1 Introduction
2 Related Work
2.1 Relation Extraction
2.2 Word Analogy
3 Methodology
3.1 Latent Relational Model
3.2 Geometric Interpretation of Analogy
3.3 Relation Extraction as Analogy Problem
4 Experiment
4.1 Experimental Setting
4.2 Results and Discussion
4.3 Unsupervised Relational Analysis
5 Conclusion and Future Work
References
Mini-ME Swift: The First Mobile OWL Reasoner for iOS
1 Introduction and Motivation
2 Background
3 Description Logics Reasoning for iOS Devices
4 Case-Study: Semantic-Based POI Discovery in Augmented Reality
5 Experiments
5.1 Standard Inference Services
5.2 Non-standard Inference Services
6 Conclusion and Future Work
References
Validation of SHACL Constraints over KGs with OWL 2 QL Ontologies via Rewriting
1 Introduction
2 Preliminaries and Running Example
2.1 Knowledge Graph
2.2 SHACL Syntax
2.3 SHACL Semantics
2.4 OWL 2 QL
2.5 Constraint Validation over KGs Enhanced with Ontologies
3 The Problem of Constraint Rewriting
3.1 SHACL-Rewriting
3.2 Non-existence of SHACL-Rewritings
4 Rewriting of SHACL+ Constraints over OWL 2 QL
4.1 Satisfiable Knowledge Graphs
4.2 Validity over Canonical Models
4.3 Rewriting of Shape Targets
4.4 Rewriting of the Ontology
5 Related Work
6 Conclusion
References
An Ontology-Based Interactive System for Understanding User Queries
1 Introduction
2 Preliminaries
2.1 Knowledge Bases
2.2 Problem Statement
3 An Interactive Search Approach
4 Question Generation
5 Knowledge Base Enrichment
6 Evaluation
6.1 Concept Enrichment
6.2 Evaluating the Effect of k in Selecting the Top-k Candidates
6.3 Evaluating Candidate Selection and Depth of Correct Answer
6.4 Further Evaluation of Grouping Algorithm
7 Conclusions
References
Knowledge-Based Short Text Categorization Using Entity and Category Embedding
1 Introduction
2 Related Work
3 Knowledge-Based Short Text Categorization (KBSTC)
3.1 Probabilistic Approach
3.2 Parameter Estimation
4 Entity and Category Embedding
4.1 Network Construction
4.2 Embedding Model
5 Experimental Results
5.1 Datasets
5.2 Baselines
5.3 Evaluation of KBSTC
5.4 Evaluation of Entity and Category Embedding
5.5 Evaluation of Entity Linking
5.6 Using Wikipedia as a Training Set
6 Conclusion and Future Work
References
A Hybrid Approach for Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and Attentional Neural Models
1 Introduction
2 Related Work
3 Specification of Data and Tasks
4 Method
4.1 Ontology-Based Approach
4.2 Left-Center-Right Separated Neural Network with Rotatory Attention
4.3 Two-Step Approach
4.4 Inversed LCR-Rot
4.5 Multi-hop LCR-Rot
5 Evaluation
6 Conclusion
References
Predicting Entity Mentions in Scientific Literature
1 Introduction
2 Related Work
3 Entity Prediction in Scientific Literature
3.1 Failed Attempts
4 Using a Neural Network with BOW
4.1 Including Author's Co-authorship
5 Evaluation
5.1 Entity Prediction Using Abstract Entities
5.2 Entity Prediction with Different Hyperparameters
5.3 Entity Prediction Including Co-Authorship
5.4 Limitations
6 Conclusion
References
Resources Track
AYNEC: All You Need for Evaluating Completion Techniques in Knowledge Graphs
1 Introduction
2 Workflow
2.1 Preprocessing
2.2 Splitting
2.3 Negatives Generation
2.4 Triple Classification
2.5 Statistical Analysis
3 Related Datasets
4 AYNEC-DataGen
4.1 Preprocessing
4.2 Splitting
4.3 Negatives Generation
4.4 Output
5 AYNEC-ResTest
6 AYNEC-Datasets
7 Conclusions
References
RVO - The Research Variable Ontology
1 Introduction
2 Relevance
3 RVO - The Research Variable Ontology
3.1 Ontology Development Process
3.2 Ontology
3.3 Integrating Existing Ontologies
3.4 How RVO Can Assist in the Analytics Process
3.5 Reusability of RVO
3.6 Availability
4 Case Study
4.1 Introduction
4.2 Visualizing RVO
5 Conclusion
References
EVENTSKG: A 5-Star Dataset of Top-Ranked Events in Eight Computer Science Communities
1 Introduction
2 Related Work
3 Scientific Events Ontology
4 EVENTSKG Characteristics
5 Data Curation
6 Use Case
7 Metadata Analysis
8 Conclusions and Future Work
References
CORAL: A Corpus of Ontological Requirements Annotated with Lexico-Syntactic Patterns
1 Introduction
2 Building the Corpus
2.1 Steps for Generating the Corpus
2.2 Availability, Extensibility and Maintenance of the Annotated Corpus
3 Corpus Description
3.1 Dictionary of Lexico-Syntactic Patterns
3.2 Annotated Corpus of Ontological Requirements
3.3 Example of Use
3.4 Publishing the Corpus as Linked Data
4 Corpus Statistics
5 Applications of the Corpus
6 Related Work
7 Conclusions
References
MMKG: Multi-modal Knowledge Graphs
1 Introduction
2 Relevance
2.1 Relevance for Multi-relational Link Prediction Research
2.2 Relevance for Entity Matching Research
3 Mmkg: Dataset Generation
3.1 Availability and Sustainability
4 Technical Quality of Mmkg
4.1 Task: sameAs Link Prediction
4.2 Model: Products of Experts
4.3 Additional Baseline Approaches
5 Experiments
5.1 Evaluation
6 Conclusion
References
BeSEPPI: Semantic-Based Benchmarking of Property Path Implementations
1 Introduction
2 Preliminaries
2.1 Graph
2.2 SPARQL 1.1 Property Paths
3 Property Path Benchmark BeSEPPI
3.1 Dataset
3.2 Queries
3.3 Metrics
3.4 Execution Strategy
4 Benchmark Results
4.1 Experimental Setting
4.2 Completeness and Correctness
4.3 Summary of Results
5 Related Work
6 Conclusion
References
QED: Out-of-the-Box Datasets for SPARQL Query Evaluation
1 Introduction
2 Motivation
3 SPARQL QED
4 Dataset Examples
5 Related Work
6 Conclusions
References
ToCo: An Ontology for Representing Hybrid Telecommunication Networks
1 Introduction
2 Background and Requirements
2.1 Background
2.2 Research Gap
3 TOUCAN Ontology
3.1 Ontology Perspectives
4 Examples and Use Cases of ToCo
4.1 Examples on Network Resource Description
4.2 Examples on Network Management Task Execution with ToCo
4.3 Use Cases
5 Conclusions
References
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs
1 Introduction
2 Related Work
3 A Framework for Graph-Based Analysis on RDF Data
3.1 Functionality
3.2 Graph Measures
3.3 Availability, Sustainability and Maintenance
4 RDF Datasets for the Analysis of Graph Measures
4.1 Data Acquisition
4.2 Execution Environment
4.3 Availability, Sustainability and Maintenance
5 Preliminary Analysis and Discussion
5.1 Observations About Graph Topologies in the LOD Cloud
5.2 Effective Measures for RDF Graph Analysis
6 Conclusions and Future Work
References
In-Use Track
The Location Index: A Semantic Web Spatial Data Infrastructure
1 Introduction
2 Requirements
2.1 Initial Datasets
2.2 Future Datasets
2.3 Data Governance
2.4 Data Delivery
3 Identifier Governance
4 Architecture
4.1 Ontologies
4.2 Dataset Publication
4.3 Linkset Publication
4.4 Data Validation
4.5 Graph Expansion
4.6 Clients
4.7 Graph Caches
5 Tools
6 Conclusions
References
Legislative Document Content Extraction Based on Semantic Web Technologies
1 Introduction
2 History of the Law and Parliamentary Labor Projects
2.1 Production Workflow
3 Software Environment
3.1 Linked Open Data
3.2 Automatic XML Marker
3.3 Publishing
3.4 Content Delivery
4 Results
5 Discussion
6 Conclusions
References
BiographySampo - Publishing and Enriching Biographies on the Semantic Web for Digital Humanities Research
1 National Biographical Dictionaries on the Web
2 Creating the Knowledge Graph
3 Data Model, Datasets, and Data Service
4 New Ways for Studying Biographies
5 Discussion
References
Tinderbook: Fall in Love with Culture
1 Introduction
2 Recommendation Algorithm
2.1 Definitions
2.2 Approach
2.3 Offline Evaluation
3 Application
3.1 Session
3.2 Architecture
4 Online Evaluation
5 Competing Systems
6 Conclusions and Lessons Learned
References
Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation*-5mm
1 Introduction
2 Shape Expressions
2.1 ShEx Implementations
2.2 Interoperability
3 Use Cases
3.1 Domain-Specific ShEx Validation in Medical Informatics
3.2 Domain-Generic ShEx Validation in Wikidata
4 ShEx Validation of Domain-Specific Wikidata Subgraphs
4.1 Molecular Biology
4.2 Software and File Formats
4.3 Bibliographic Metadata
5 Discussion
5.1 Novelty of Validation of RDF Data Using ShEx
5.2 Uptake of ShEx Tooling
5.3 Soundness and Quality
5.4 Availability
6 Conclusion
References
Correction to: Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation
Correction to: Chapter "Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation" in: P. Hitzler et al. (Eds.): The Semantic Web, LNCS 11503, https://doi.org/10.1007/978-3-030-21348-0_39
Author Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

The Semantic Web

Description

More details

Other editions

Additional editions

Persons

Content

System requirements