The Semantic Web - ISWC 2023
22nd International Semantic Web Conference, Athens, Greece, November 6-10, 2023, Proceedings, Part II
Published on 1. November 2023
XLVI, 476 pages
978-3-031-47243-5 (ISBN)
Description
This book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece.
The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.
The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XLVI, 476 p. 147 illus., 122 illus. in color.
ISBN-13
978-3-031-47243-5 (9783031472435)
DOI
10.1007/978-3-031-47243-5
Schweitzer Classification
Other editions
Additional editions
Terry R. Payne | Valentina Presutti | Guilin Qi
The Semantic Web - ISWC 2023
22nd International Semantic Web Conference, Athens, Greece, November 6-10, 2023, Proceedings, Part II
Book
11/2023
Springer
€117.69
Shipment within 15-20 days
Content
- Intro
- Preface
- Organization
- Keynote Speeches and Panels
- Knowledge Graphs in the Age of Large Language Models
- Semantic Web Research in the Age of Generative Artificial Intelligence
- ChatGLM: An Alternative to ChatGPT
- Panel on Neuro-Symbolic AI
- Contents - Part II
- Contents - Part I
- Resources Track
- HOLY: An Ontology Covering the Hydrogen Market
- 1 Introduction
- 2 Related Work
- 3 The Hydrogen Ontology (HOLY)
- 3.1 Methodology
- 3.2 Ontology Requirements Specification
- 3.3 Ontology Implementation
- 3.4 Evaluation
- 3.5 Publishing
- 3.6 Maintenance
- 4 Contribution and Future Work
- References
- MMpedia: A Large-Scale Multi-modal Knowledge Graph
- 1 Introduction
- 2 Related Work
- 3 MMpedia Construction
- 3.1 Entity Information Collection
- 3.2 Non-visual Entity Filtering
- 3.3 Entity-Image Matching
- 3.4 Entity Type Detection
- 4 MMpedia Analysis
- 5 Experiment
- 5.1 Implementation Details
- 5.2 Downstream Tasks
- 5.3 Detailed Analysis
- 6 Conclusion
- References
- Ontology Repositories and Semantic Artefact Catalogues with the OntoPortal Technology
- 1 Introduction
- 2 Related Work on Semantic Artefact Catalogues
- 2.1 From Ontology Libraries and Repositories to Semantic Artefact Catalogues
- 2.2 Generic Ontology Repository and Semantic Artefact Catalogue Technology
- 3 OntoPortal Technology
- 3.1 OntoPortal Standard/Default Technical Architecture
- 3.2 Default OntoPortal Services
- 3.3 Additional Features and Services Developed by the Alliance
- 4 OntoPortal Open-Source Project Organization
- 5 Usage of the OntoPortal Technology
- 5.1 Current Open Domain or Project Specific OntoPortal Installation
- 5.2 Other Running Installations of the OntoPortal Technology
- 6 Perspectives and Discussion
- 7 Conclusion
- References
- AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder
- 1 Introduction
- 2 Ontology Building
- 3 Factual Knowledge Extraction
- 3.1 Disease Knowledge
- 3.2 Diagnostic Knowledge
- 3.3 Expert Knowledge
- 3.4 Other Knowledge
- 3.5 Quality of AsdKB
- 4 Application of AsdKB
- 4.1 Question Answering
- 4.2 Auxiliary Diagnosis
- 4.3 Expert Recommendation
- 5 Related Work
- 6 Conclusions and Future Work
- References
- TEC: Transparent Emissions Calculation Toolkit
- 1 Introduction
- 2 Related Work
- 3 TEC Toolkit Design
- 4 TEC Toolkit Ontologies
- 4.1 Methodology
- 4.2 Emission Conversion Factors Ontology (ECFO)
- 4.3 Provenance of Emission Calculation Ontology (PECO)
- 4.4 ECFO and PECO Validation
- 5 Emission Conversion Factors Knowledge Graph
- 5.1 Data Sources
- 5.2 Transforming Data Sources to RDF
- 5.3 Data Validation with Semantic Rules
- 6 Semantic Machine Learning Impact Calculator
- 6.1 Calculator Overview
- 6.2 Emissions Calculation Provenance Trace
- 6.3 Explaining Emissions Calculation Provenance Traces
- 6.4 Assessing Provenance Traces
- 7 Conclusions and Future Work
- References
- SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
- 1 Introduction
- 2 Related Work
- 3 SemOpenAlex
- 3.1 Ontology of SemOpenAlex
- 3.2 Knowledge Graph Creation Process
- 3.3 Data Publishing and User Interaction
- 3.4 Key Statistics of SemOpenAlex and Example SPARQL Queries
- 3.5 Linked Data Set Descriptions and Ratings
- 4 Graph Embeddings for SemOpenAlex
- 5 Use Cases of SemOpenAlex
- 6 Conclusions
- References
- Comprehensive Analysis of Freebase and Dataset Creation for Robust Evaluation of Knowledge Graph Link Prediction Models
- 1 Introduction
- 2 Freebase Basic Concepts
- 3 Idiosyncrasies of Freebase and Challenges They Pose
- 3.1 Reverse Triples
- 3.2 Mediator Nodes
- 3.3 Metadata and Administrative Data
- 4 Freebase Type System
- 5 Defects of Existing Freebase Datasets
- 6 Data Preparation
- 7 Experiments
- 8 Conclusion
- References
- The SAREF Pipeline and Portal-An Ontology Verification Framework
- 1 Introduction
- 2 Related Work
- 3 SAREF - A Modular and Versioned Suite of Ontologies
- 4 The SAREF Development Framework and Workflow
- 4.1 The SAREF Development Workflow
- 4.2 SAREF Project Repositories on the ETSI Forge
- 4.3 SAREF Project Version Specification and Documentation
- 5 Quality Control and Requirements Verification with the SAREF Pipeline
- 5.1 User Interface, Execution Modes, Error Reporting
- 5.2 SAREF Projects Dependency Management Using Git
- 5.3 Testing Requirement Satisfaction with Themis
- 5.4 Checks Based on SHACL
- 5.5 Checks Using OWL API and Hermit
- 5.6 Documentation Generation
- 5.7 Continuous Integration and Delivery
- 6 Discussion and Current Work
- 7 Conclusion
- References
- The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDF
- 1 Introduction
- 2 Background: R2RML
- 3 Motivation and Challenges
- 4 Methodology
- 5 Artifacts: Ontologies and Shapes
- 5.1 RML-Core: Schema Transformations
- 5.2 RML-IO: Source and Target
- 5.3 RML-CC: Collections and Containers
- 5.4 RML-FNML: Data Transformations
- 5.5 RML-star: RDF-star Generation
- 6 Early Adoption and Potential Impact
- 7 Related Work
- 8 Conclusions and Future Steps
- References
- SPARQL_edit: Editing RDF Literals in Knowledge Graphs via View-Update Translations
- 1 Introduction
- 2 Practical Example
- 3 Related Work
- 3.1 Read-Write Linked Data Systems
- 3.2 Database View Update Problem
- 3.3 Database-to-RDF Mappings
- 4 View-Update Algorithm
- 4.1 Translation of a Literal Update into a SPARQL/Update Query
- 4.2 Query Restrictions
- 5 Implementation
- 6 Applicability
- 6.1 Performance
- 6.2 Concurrent Literal Editing
- 6.3 Update Logging
- 7 Conclusion
- References
- LDkit: Linked Data Object Graph Mapping Toolkit for Web Applications
- 1 Introduction
- 2 Related Work
- 2.1 Web Application Data Abstractions
- 2.2 JavaScript/TypeScript RDF Libraries
- 3 Requirements Analysis
- 4 LDkit
- 4.1 Data Schema
- 4.2 Reading and Writing Data
- 4.3 Data Sources and Query Engine
- 4.4 Current Limitations
- 4.5 LDkit Components
- 4.6 LDkit Distribution and Sustainability
- 5 Evaluation
- 5.1 Requirements Reflection
- 5.2 Real World Usage
- 5.3 Performance
- 6 Conclusion
- References
- VOYAGE: A Large Collection of Vocabulary Usage in Open RDF Datasets
- 1 Introduction
- 2 Data Collection
- 2.1 RDF Dataset Crawling
- 2.2 RDF Dataset Deduplication
- 2.3 Vocabulary Extraction
- 3 Frequency and Diversity in Vocabulary Usage
- 3.1 Frequency Analysis
- 3.2 Diversity Analysis
- 4 Patterns of Term Co-occurrence
- 4.1 Term Co-occurrence Extraction
- 4.2 Frequency Analysis
- 4.3 Diversity Analysis
- 5 Clusters of Vocabularies Based on Co-occurrence
- 5.1 Clustering Method
- 5.2 Implementation Details
- 5.3 Cluster Analysis
- 6 Related Work
- 7 Conclusion
- References
- Linked Data Objects (LDO): A TypeScript-Enabled RDF Devtool
- 1 Introduction
- 2 Related Work
- 3 Linked Data Objects (LDO)
- 3.1 Building From the Schema
- 3.2 Parsing Raw RDF
- 3.3 Creating the Linked Data Object
- 3.4 Reading/Modifying Data
- 3.5 Converting Data Back to Raw RDF
- 4 User Studies
- 5 Case Studies
- 6 Future Work
- 7 Conclusion
- References
- Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text
- 1 Introduction
- 2 Task Description
- 3 Benchmark Generation
- 3.1 Wikidata-TekGen Dataset
- 3.2 DBpedia-WebNLG Dataset
- 4 Evaluation Metrics
- 5 Baselines and Evaluation Results
- 5.1 Baseline LLM Models
- 5.2 Automatic Prompt Generation
- 5.3 Evaluation Results
- 5.4 Error Analysis
- 6 Related Work
- 7 Conclusion and Future Work
- References
- Benchmarking Geospatial Question Answering Engines Using the Dataset GeoQuestions1089
- 1 Introduction
- 2 Related Work
- 3 The GeoQuestions1089 Dataset
- 4 The QA Engine GeoQA2
- 5 The QA Engine of Hamzei et al.
- 6 Improving the Performance of Geospatial QA Engines
- 7 Evaluation
- 8 Conclusions and Future Work
- References
- FedShop: A Benchmark for Testing the Scalability of SPARQL Federation Engines
- 1 Introduction
- 2 Related Works
- 3 The FedShop Benchmark
- 3.1 FedShop Data Generation
- 3.2 FedShop Query Generation
- 4 FedShop Reference Source Assignment (RSA)
- 5 Experimental Study
- 5.1 Experimental Results
- 6 Concluding Remarks
- References
- The Polifonia Ontology Network: Building a Semantic Backbone for Musical Heritage
- 1 Introduction
- 2 Related Work
- 3 The eXtreme Design Methodology in Polifonia
- 3.1 Requirements Collection
- 3.2 Ontology Network Design and Development
- 4 The Polifonia Ontology Network
- 4.1 Foundational Models and Their Extensions and Specialisations
- 4.2 Modules for Analysis and Annotation of Music
- 5 Adoption and Impact
- 5.1 Current Use by Polifonia Pilots
- 5.2 Survey of Interest for Future Applications
- 5.3 Adoption by Polifonia Stakeholders
- 6 Availability, Sustainability, and FAIRness
- 7 Conclusions
- References
- In-Use Track
- Solving the IoT Cascading Failure Dilemma Using a Semantic Multi-agent System
- 1 Introduction
- 2 Background
- 2.1 Overview of Legacy Solutions
- 2.2 Complex IoT Device Dependency
- 2.3 IoT Failures
- 3 Motivating Use Case
- 3.1 Smart Home Scenario Architecture
- 3.2 Illustration of Cascading Failure Dilemma
- 4 Semantic Multi-OSAMA for Collaborative CFM
- 4.1 OSAMA BDI Model
- 4.2 Diagnosis Artifact
- 4.3 Dependency Artifact
- 4.4 Monitoring and Recovery Artifacts
- 4.5 Collaborative CFM Protocol
- 5 Evaluation
- 6 Related Work
- 7 Conclusion and Future Work
- References
- Aviation Certification Powered by the Semantic Web Stack
- 1 Introduction
- 2 Background
- 2.1 Definition of Data Curation
- 2.2 Diversity of Tools and Artifacts
- 3 Application of the Semantic Web Stack
- 3.1 Graph Databases and SPARQL
- 3.2 Authoring the Ontology
- 3.3 Maintaining the Ontology
- 4 Evidence Ingestion Pipeline
- 4.1 SemTK Nodegroups
- 4.2 SemTK Ingestion Templates
- 4.3 Automatic Ingestion Templates ("Ingest by Class")
- 4.4 Ingestion Packages
- 4.5 Scraping Toolkit
- 4.6 Entity Resolution
- 5 Evidence Exploration
- 5.1 Queries
- 5.2 Reports
- 6 Impact and Lessons Learned
- 7 Conclusions
- References
- The Holocaust Archival Material Knowledge Graph
- 1 Introduction
- 2 Related Work
- 3 EHRI's Data and Transformation
- 3.1 EHRI's Data Model
- 3.2 Ontology Alignment
- 3.3 Data Transformation
- 4 Dataset
- 4.1 Approximate Size and Characterisation
- 4.2 Post-transformation Enrichment
- 5 Challenges and Future Work
- 5.1 Mapping Copies and Originals
- 5.2 Incremental Updates
- 5.3 EHRI KG as an Authority Hub
- 5.4 Engaging User Communities
- 6 Conclusions
- References
- Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case
- 1 Introduction
- 2 Motivating Use Case: Welding Quality Monitoring
- 3 SemCloud: Semantics-Enhanced Cloud System
- 3.1 Architectural Overview
- 3.2 Semantic Data Integration
- 3.3 Distributed ETL and Data Analysis
- 3.4 ETL Pipeline Generation
- 3.5 Adaptive Datalog Rules Inference for Resource Configuration
- 3.6 Rule Parameter Learning with Machine Learning
- 4 Implementation and Evaluation
- 4.1 Cloud Deployment Report
- 4.2 Evaluation of Rule Parameter Learning and Inference
- 5 Discussion on General Impact and Related Works
- 6 Conclusion, and Outlook
- References
- AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape
- 1 Introduction
- 2 The AIDA Knowledge Graph Pipeline
- 3 The Architecture of AIDA-Bot 2.0
- 3.1 Question Understanding
- 3.2 Response Generator
- 3.3 Transformer Models
- 4 Evaluation
- 4.1 Comparative Evaluation
- 4.2 User Study
- 5 Uptake and Impact
- 6 Continuous Development Plan
- 7 Related Work
- 8 Conclusions
- References
- The Wikibase Approach to the Enslaved.Org Hub Knowledge Graph
- 1 Introduction
- 2 Case Study: The Enslaved.Org Hub
- 3 The Approach
- 3.1 Developing the Schema
- 3.2 Implementing the Knowledge Graph
- 3.3 Deploying the Knowledge Graph
- 4 Conclusion
- References
- The World Literature Knowledge Graph
- 1 Introduction
- 2 Background and Related Work
- 2.1 Theoretical Framework
- 2.2 Semantic Technologies for Literary Studies
- 2.3 Visualization Platforms
- 3 The Semantic Model
- 3.1 The UR-Ontology Network
- 3.2 Modeling Underrepresentation
- 3.3 Modeling Works Publishing History
- 4 Creation of the WL-KG
- 4.1 Mapping Between Platforms
- 4.2 Quality Assessment of the Mapping
- 4.3 Data Collection and Statistics
- 5 Visualization Platform
- 6 Resource Evaluation
- 7 Conclusion and Future Work
- References
- Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
- 1 Introduction
- 2 Use Case
- 3 Preliminaries
- 4 Method
- 5 Evaluation
- 5.1 Experiment Settings
- 5.2 Results and Discussion
- 6 Discussion on General Impact and Related Work
- 7 Conclusion and Outlook
- References
- Author Index
