The Semantic Web

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

Eva Blomqvist Diana Maynard Aldo Gangemi Rinke Hoekstra Pascal Hitzler Olaf Hartig(Herausgeber*in)

Springer (Verlag)

Erschienen am 15. Mai 2017

XXX, 673 Seiten

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Inhalt

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 I
Contents -- Part II
Semantic Data Management, Big Data, and Scalability Track
Traffic Analytics for Linked Data Publishers
1 Introduction
2 Related Work
3 System Overview
4 Traffic Metrics
4.1 Content Metrics Extraction
4.2 Protocol Metrics Extraction and SPARQL Queries Weight
4.3 Audience Metrics Extraction and Visitor Session Identification
5 Results
6 Conclusions and Future Work
References
Explaining Graph Navigational Queries
1 Introduction
2 Related Work
3 Building Query Explanations with GeL
3.1 Syntax of GeL
3.2 Semantics of GeL
4 Algorithms and Complexity
4.1 Translating GeL into SPARQL
5 Implementation and Evaluation
6 Concluding Remarks and Future Work
References
A SPARQL Extension for Generating RDF from Heterogeneous Formats
1 Introduction
2 Use-Cases and Requirements
3 Related Work
4 SPARQL-Generate Specification
4.1 SPARQL-Generate Concrete Syntax
4.2 Abstract Syntax
4.3 SPARQL-Generate Semantics
5 Implementation and Evaluation
5.1 Generic Approach
5.2 Implementation on Top of Apache Jena
5.3 Evaluation
6 Conclusion and Future Work
References
Linked Data Track
Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data
1 Introduction
2 Preliminaries
2.1 Basic Definitions
2.2 Problem Analysis
3 ObResolution Method
3.1 Model Details
3.2 Inference Algorithms
3.3 Practical Issues
4 Evaluation
4.1 The Datasets
4.2 Comparative Methods and Metrics
4.3 Results
5 Related Work
6 Conclusion and Future Work
References
Methods for Intrinsic Evaluation of Links in the Web of Data
1 Introduction
2 Preliminaries
3 Principles for Data Interlinking in the Web of Data
4 Intrinsic Measures for Assessing the Quality of Links
4.1 Basic Descriptive Statistics
4.2 Principles-Based Measures
5 Empirical Analysis
5.1 Data
5.2 Methodology
5.3 Measure Validation
5.4 Results
6 Related Work
7 Conclusions and Future Work
References
Entity Deduplication on ScholarlyData
1 Introduction
2 Related Work
3 Deduplication
3.1 Blocking Strategies
3.2 Classification
3.3 URI Harmonisation
4 Experiments
4.1 The Train/test Dataset
4.2 Blocking
4.3 Classification
4.4 URI Harmonisation
5 Conclusions
References
Machine Learning Track
WOMBAT -- A Generalization Approach for Automatic Link Discovery
1 Introduction
2 Preliminaries
3 Constructing and Traversing Link Specifications
3.1 Learning Atomic Specifications
3.2 Combining Atomic Specifications
4 The WOMBAT Algorithm
5 Evaluation
6 Related Work
7 Conclusions and Future Work
References
Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs
1 Introduction
2 Contextual KG Exploration
3 Active Learning to Rank for Semantic Associations
3.1 Features
4 Experiments
4.1 Experimental Settings
4.2 Configurations and Baselines
4.3 Results and Discussion
5 Related Work
6 Conclusion
References
Synthesizing Knowledge Graphs for Link and Type Prediction Benchmarking
1 Introduction
2 Related Work
3 Knowledge Graph Model
4 Synthesis Process
5 Experiments
6 Conclusion and Outlook
References
Online Relation Alignment for Linked Datasets
1 Introduction
2 Related Work
3 Preliminaries
4 Problem Statement
5 SORAL: Relation Alignment
5.1 Candidate Generation
5.2 Sampling Strategies
5.3 Features
6 Experimental Setup
7 Results and Discussion
7.1 Relation Alignment Accuracy
7.2 Query-Execution Overhead
8 Conclusion
References
Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data
1 Introduction
2 Related Work
3 Methodology
3.1 Graph-Based Representations
3.2 Running Personalized PageRank
4 Experimental Evaluation
4.1 Experimental Protocol
4.2 Discussion of the Results
5 Conclusions and Future Work
References
Terminological Cluster Trees for Disjointness Axiom Discovery
1 Introduction
2 Related Work
3 Disjointness Discovery as a Conceptual Clustering Problem
4 Terminological Cluster Trees for Disjointness Learning
4.1 Growing Terminological Cluster Trees
4.2 Extracting Candidate Disjointness Axioms from TCTs
5 Experiments
5.1 Re-discovery of a Target Disjoint Axiom
5.2 Comparison to Other Approaches Under SDA
6 Conclusions and Outlook
References
Embedding Learning for Declarative Memories
1 Introduction
2 Unique-Representation Hypothesis
3 Semantic and Episodic Knowledge Graph Models
3.1 Semantic Knowledge Graph
3.2 An Event Model for Episodic Memory
4 Tensor Decompositions
4.1 Tensor Decompositions
4.2 Inner Product Formulation of Tensor Decompositions
5 Querying Memories
5.1 Probabilistic Querying
5.2 Semantic Memory Derived from Episodic Memory
6 Relationships to Human Memories
6.1 Unique-Representation Hypothesis for Entities and Predicates
6.2 Perception and Memory Formation
6.3 Tensor Memory Hypothesis
6.4 Semantic Memory and Episodic Memory
7 Experiments
7.1 Data Set
7.2 Evaluation and Implementation
7.3 Experimental Results
8 Conclusions
References
Mobile Web, Sensors, and Semantic Streams Track
Spatial Ontology-Mediated Query Answering over Mobility Streams
1 Introduction
2 V2X Integration using a Local Dynamic Map
3 Streams, Pulses, and Spatial Databases
4 Syntax, Semantics, and Query Language of DL-LiteA (S,F)
5 Query Rewriting by Stream Aggregation
6 Query Evaluation by Hypertree Decomposition
7 Implementation and Experimental Evaluation
8 Related Work and Conclusion
References
Optimizing the Performance of Concurrent RDF Stream Processing Queries
1 Introduction
2 Foundations
2.1 Multi-way Join
2.2 Shared Join Operator and Network of Shared Join Operators
3 Optimization for Concurrent CQELS Queries
3.1 CQELS+: Network of Shared Join Operators
3.2 Load Balancing for Parallel CQELS+ Instances
4 Evaluation
4.1 Evaluating Shared Joins in CQELS+
4.2 Evaluating Load Balancing over CQELS+
4.3 Evaluating the Query Registration Time
5 Related Work
6 Conclusions and Future Work
References
AGACY Monitoring: A Hybrid Model for Activity Recognition and Uncertainty Handling
1 Introduction
2 Related Work
3 The AGACY Monitoring Architecture Overview
4 Knowledge Based Layer
4.1 Ontological Modeling
4.2 Semantic Reasoning
5 Data Driven Layer
5.1 Time and Uncertainty-Based Features Extraction
5.2 Dempster-Shafer Theory for Activity Classification
5.3 Activities Instances Inferring Under Uncertainty
6 Evaluation and Discussion
6.1 DataSet
6.2 Implementation and Experimental Setup
6.3 Evaluation and Results
7 Conclusion and Future Work
References
Natural Language Processing and Information Retrieval Track
Mapping Natural Language to Description Logic
1 Introduction
2 Related Work
3 Approach Overview
3.1 Grammar
3.2 Semantic Parser and Surface Realiser
4 Evaluation and Results
4.1 Mapping SIDPs to Complex Axioms
4.2 Assessing Correctness
4.3 Ontology Enrichment
5 Conclusion
References
Harnessing Diversity in Crowds and Machines for Better NER Performance
1 Introduction
2 Use Case and Datasets
3 Related Work
3.1 Open Knowledge Extraction Systems
3.2 Crowdsourcing Named Entities
3.3 Multi-NER, Hybrid Named Entity Recognition
4 Single-NER vs. Multi-NER Comparison
4.1 Single-NER vs. Multi-NER - Entity Surface
4.2 Single-NER vs. Multi-NER - Entity Surface and Entity Type
4.3 Analysis of False Negative Named Entities
4.4 Analysis of False Positive Named Entities
5 Experimental Setup
5.1 Crowdsourcing Experimental Data
5.2 Crowdsourcing Annotation Task
5.3 CrowdTruth Metrics
6 Results
7 Discussion
8 Conclusion
References
All that Glitters Is Not Gold -- Rule-Based Curation of Reference Datasets for Named Entity Recognition and Entity Linking
1 Introduction
2 Related Work
3 Formal Annotation Framework
3.1 Assumptions
3.2 Rule Set
3.3 Comparison with Related Work
3.4 Observations
4 Eaglet
4.1 Preprocessing Module
4.2 Completion Module
4.3 Error Detection Pipeline
4.4 Review Module
5 Evaluation
5.1 Experiment I
5.2 Experiment II
5.3 Experiment III
6 Conclusion
References
Semantic Annotation of Data Processing Pipelines in Scientific Publications
1 Introduction
2 Related Work
3 The DMS Ontology
4 DPP Knowledge Extraction Workflow
4.1 Training Data Generation
4.2 Classification and NER
4.3 Linked Data Generation
5 Evaluation
5.1 Dataset
5.2 Analysis of Rhetorical Classifiers
5.3 Quality of Extracted Entities
6 Conclusion
References
Combining Word and Entity Embeddings for Entity Linking
1 Introduction
2 Related Work
3 Combining Word and Entity Embeddings
3.1 Definitions
3.2 Extended Anchor Text
3.3 The EAT Model
4 Entity Linking System
4.1 Generation of Candidate Entities
4.2 Selection of the Best Candidate Entity
5 Experiments and Results
5.1 Learning the Embeddings
5.2 Evaluation of the Embeddings
5.3 Dataset and Evaluation Measures for Entity Linking
5.4 Evaluation of Candidate Entity Generation
5.5 Entity Linking Results
6 Conclusion
References
Beyond Time: Dynamic Context-Aware Entity Recommendation
1 Introduction
2 Background and Problem Definition
2.1 Preliminaries
2.2 Problem Definition
3 Approach
3.1 Probabilistic Model
3.2 Candidate Entity Identification
3.3 Graph Enrichment
4 Model Parameter Estimation
4.1 Temporal Relatedness Model
4.2 Topical Relatedness Model
5 Experiment Setup
5.1 Entity Graph Construction
5.2 Automated Queries Construction
5.3 Baselines
6 Results and Discussion
7 Related Work
8 Conclusions
References
Vocabularies, Schemas, and Ontologies Track
Patterns for Heterogeneous TBox Mappings to Bridge Different Modelling Decisions
1 Introduction
2 Related Works
3 Formal Representation of Patterns and Alignments
4 Aligning Alternate Modelling Patterns
4.1 Matching Modelling Patterns
4.2 Assessment and Formalisation of Other Correspondence Patterns
5 Alignment Pattern Search and Checking Algorithms
6 Discussion
7 Conclusions
References
Exploring Importance Measures for Summarizing RDF/S KBs
1 Introduction
2 Preliminaries
3 Importance Measures
3.1 Adapted Importance Measures
4 Construction of the RDF/S Summary Schema Graph
4.1 Algorithms, Approximation and Heuristics
5 Evaluation
5.1 Spearman's Rank Correlation Coefficient
5.2 The Similarity Measure
5.3 Additional Nodes Introduced
5.4 Execution Time
6 Related Work
7 Discussion and Conclusion
References
Data-Driven Joint Debugging of the DBpedia Mappings and Ontology
1 Introduction
2 Related Work
3 Approach
3.1 Preliminaries
3.2 Datasets Used
3.3 Identifying and Grouping Inconsistencies
3.4 Scoring Inconsistencies
4 Findings
4.1 Quantitative Results
4.2 Mapping Errors
4.3 Problems in the Ontology
4.4 Problems with the Mapping to DOLCE-Zero
5 Conclusion and Outlook
References
Rule-Based OWL Modeling with ROWLTab Protégé Plugin
1 Introduction
2 SWRL Rules to OWL Axioms Transformation
3 Plugin Description and Features
4 Evaluation
4.1 Time Used for Modeling
4.2 Correctness of Modeled Axioms
4.3 Participant Survey
5 Conclusions and Further Work
References
Chaudron: Extending DBpedia with Measurement
1 Introduction
2 Measurement
2.1 Measurement in Wikipedia's Infoboxes
3 Measures Extraction
3.1 Infobox Parsing and Filtering
3.2 List of Units
3.3 Extraction with Formal Grammar
3.4 Extraction and Discussion
4 Dataset
5 Availability and Applications
6 Evaluation
7 Conclusion and Future Work
References
SM4MQ: A Semantic Model for Multidimensional Queries
1 Introduction
2 Background
2.1 Multidimensional Model and OLAP Operations
2.2 The Semantic Web Technologies
3 A Semantic Model for Multidimensional Queries
3.1 MD Query Model
3.2 ROLL-UP and DRILL-DOWN Operations
3.3 DICE Operation
3.4 SLICE Operation
4 Exploiting SM4MQ
4.1 Modeling and Semantics
4.2 Automating SM4MQ Exploitation
5 Use Case Evaluation
6 Related Work
7 Conclusion and Future Work
References
Using Insights from Psychology and Language to Improve How People Reason with Description Logics
Abstract
1 Introduction
2 Related Work
3 Human Reasoning and Human Language
4 Previous Studies
5 Overview of Current Study
6 Functional and Inverse Functional Object Properties
6.1 Functional Object Properties - Comparison with Study 2
Hypothesis H1
6.2 Inverse Functional Object Properties
Hypothesis H2
7 Boolean Concept Constructors
7.1 Negated Conjunction and Disjunction
Hypotheses H3
7.2 Use of Prefix Notation
Hypothesis H4
7.3 Use of except in Place of and not
Hypothesis H5
8 Negation and Restriction
8.1 noneOrOnly and including
Hypothesis H6
8.2 not . any
Hypothesis H7
9 Nested Restrictions
9.1 noneOrOnly and including
Hypothesis H6
9.2 not . any
Hypothesis H7
10 Conclusions and Future Work
Acknowledgements
References
Reasoning Track
Updating Wikipedia via DBpedia Mappings and SPARQL
1 Introduction
2 The DBpedia OBDM Setting
3 Challenges of DBpedia OBDM
4 Pragmatic DBpedia OBDM
4.1 Update Translation Steps
4.2 Update Resolution Policies
5 Related Work
6 Conclusion
References
Learning Commonalities in RDF
1 Introduction
2 The Resource Description Framework (RDF)
3 Finding Commonalities Between RDF Graphs
3.1 Defining the lgg of RDF Graphs
3.2 Computing an lgg of RDF Graphs
4 Algorithms
4.1 Least General Anti-unifier of Triples
4.2 lgg of RDF Graphs
5 Related Work and Conclusion
References
Lean Kernels in Description Logics
1 Introduction
2 Preliminaries
3 Lean Kernels
4 Computing Lean Kernels
5 Experiments
6 Conclusions
References
Social Web and Web Science Track
Linked Data Notifications: A Resource-Centric Communication Protocol
1 Introduction
2 Related Work
3 Requirements and Design Considerations
3.1 R1 Modularity
3.2 R2 Reusable Notifications
3.3 R3 Persistence and Retrievability
3.4 R4 Adaptability
3.5 R5 Subscribing
4 The LDN Protocol
4.1 Sender to Receiver Interactions
4.2 Consumer to Receiver Interactions
4.3 Example Notifications
5 Implementations
6 Analysis and Evaluation
6.1 Comparison Summary
6.2 Compatibility with Existing Systems
6.3 Optimising Implementation
6.4 Data Formats and Content Negotiation
6.5 Precision
6.6 Accommodating Different Targets
7 Conclusions
References
Crowdsourced Affinity: A Matter of Fact or Experience
Abstract
1 Introduction
2 Related Work
3 First Experiment: Gold Standard Study
3.1 Experiment Dataset
3.2 Folksonomy Engineering
3.3 Knowledge Graph Engineering
3.4 Candidate Approaches
3.5 Common Affinity Prediction Algorithm
3.6 Protocol
3.7 Quality Dimensions and Metrics
3.8 Results and Discussions
4 Semantic Affinity Framework
5 Second Experiment: User Study
5.1 Protocol and Metrics
5.2 Results and Discussions
6 Conclusion
References
A Semantic Graph-Based Approach for Radicalisation Detection on Social Media
1 Introduction
2 Related Work
3 Semantic Graph-Based Approach for Pro-ISIS Stance Detection
4 Experimental Setup
4.1 Dataset of pro-ISIS and anti-ISIS Twitter Users
4.2 Baseline Features
4.3 Classification Method
5 Evaluation Results
6 Signals of Radicalisation (pro-ISIS vs. anti-ISIS)
7 Discussion and Future Work
8 Conclusions
References
Semantic Web and Transparency Track
Modeling and Querying Greek Legislation Using Semantic Web Technologies
1 Introduction
2 Related Work
3 Background on Greek Legislation
3.1 Types and Encoding of Greek Legislation
3.2 Metadata of Greek Legislation
3.3 Legislative Modifications
4 Modeling Greek Legislation Using Semantic Web Technologies
4.1 An OWL Ontology for Greek Legislation
4.2 Persistent URIs in Nomothesia
4.3 Population of Nomothesia Ontology
4.4 Linking Legislation with Other Open Data
5 Modeling Greek Legislation Using Nomothesia: A Short Example
5.1 Representing P.D. 2011/54 in RDF
5.2 Capturing the Legislative Interaction between P.D. 2011/54 and P.D. 2012/10
5.3 Linking P.D. 2011/54 with Greek administration Geography
5.4 Querying the Resulting RDF Data Using SPARQL
6 The Nomothesia Web Platform and RESTful API
6.1 Querying Legislation Using SPARQL
7 Preliminary Feedback on Nomothesia
8 Conclusions and Future Work
References
Self-Enforcing Access Control for Encrypted RDF
1 Introduction
2 Related Work
3 Secure and Fine-Grained Encryption of RDF
3.1 A Functional Encryption Scheme for RDF
4 Optimising Query Execution over Encrypted RDF
5 Evaluation
6 Conclusion
References
Removing Barriers to Transparency: A Case Study on the Use of Semantic Technologies to Tackle Procurement Data Inconsistency
1 Introduction and Motivations
2 Study Context
2.1 The Italian Legislative Context
2.2 Source Data
3 Data Quality Problems
3.1 Interdependence Between Quality Metrics
3.2 Focus on Data Consistency
4 Applying the Linked Data Approach
4.1 Harvesting of XML Files
4.2 Cleaning of Procurement Data
4.3 Public Contracts Ontology
4.4 Triplification and Interlinking
5 Results
5.1 Harvesting Results
5.2 Quality Problems Addressed
6 Discussion on Inconsistency Issues
6.1 Limitations
7 Related Work
8 Conclusion and Future Works
References
NdFluents: An Ontology for Annotated Statements with Inference Preservation
1 Introduction
2 Welty and Fikes' 4dFluents Ontology
3 The NdFluents Ontology
4 Design Patterns
4.1 Contexts in Context
4.2 Use Multiple Contextual Extents on Each Contextual Part
4.3 Combine Different Contexts on One Contextual Extent
5 Additional Considerations
5.1 Dealing with Datatype Properties
5.2 Relations Between ContextualParts of Different Dimensions
6 Reasoning with Annotated Data
6.1 RDF Representation Approaches
6.2 Comparison of Rule Preservation
7 Related Work
8 Conclusions
References
Adopting Semantic Technologies for Effective Corporate Transparency
1 Introduction
2 XBRL Fundamentals
3 Related Work
4 Transforming XBRL into Linked Data
4.1 Lightweight Vocabulary for XBRL (XBRLL)
4.2 From XBRL Data to Linked Data
4.3 Linking XBRL Data to Other Data
5 Validation
6 Discussion
7 Conclusions and Further Research
References
Author Index

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