Semantic Systems. in the Era of Knowledge Graphs : : 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, the Netherlands, September 7-10, 2020, Proceedings.

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Bibliographic Details
Superior document:Lecture Notes in Computer Science Series ; v.12378
:
TeilnehmendeR:
Place / Publishing House:Cham : : Springer International Publishing AG,, 2020.
©2020.
Year of Publication:2020
Edition:1st ed.
Language:English
Series:Lecture Notes in Computer Science Series
Online Access:
Physical Description:1 online resource (141 pages)
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Table of Contents:
  • Intro
  • Preface
  • Organization
  • Contents
  • The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows
  • 1 Introduction
  • 2 Background and Motivation
  • 3 DBpedia Release Cycle Overview
  • 4 Conceptual Design Principles
  • 4.1 Time-Driven vs. Quality-Driven Data Releases
  • 4.2 Traceability and Issue Management
  • 5 Testing Methodology
  • 5.1 Construct Validation
  • 5.2 Syntactical Validation
  • 5.3 Shape Validation
  • 5.4 Integration Validation
  • 6 Experimental Evaluation
  • 7 Related Work
  • 8 Conclusion and Future Work
  • References
  • DBpedia Archivo: A Web-Scale Interface for Ontology Archiving Under Consumer-Oriented Aspects
  • 1 Introduction
  • 2 Related Work
  • 2.1 Archiving and Versioning
  • 2.2 Ontology Repositories and Platforms
  • 2.3 Ontology Evaluation and Validation
  • 3 Archivo Platform Model
  • 3.1 Versioning and Persistence on the Databus
  • 3.2 Evaluation Plugins and SHACL Library
  • 3.3 Feature Plugins
  • 4 Archivo Implementation
  • 4.1 Ontology Discovery and Indexing
  • 4.2 Analysis, Plugins and Release
  • 4.3 Versioning and Persistence
  • 5 A Consumer-Oriented Ontology Star Rating
  • 5.1 Two Star Baseline
  • 5.2 Quality Stars
  • 5.3 Further Stars and Ratings
  • 6 Evaluation
  • 6.1 Archivo and Rating Statistics
  • 6.2 System Comparison
  • 7 Future Work
  • References
  • A Knowledge Retrieval Framework for Household Objects and Actions with External Knowledge
  • 1 Introduction
  • 2 Related Work
  • 3 Our Approach
  • 3.1 Household Dataset
  • 3.2 Ontology
  • 3.3 Semantic Matching Algorithm
  • 4 Evaluation
  • 5 Discussion and Conclusion
  • References
  • Semantic Annotation, Representation and Linking of Survey Data
  • 1 Introduction
  • 2 Related Work
  • 3 Semantic Features of Survey Questions
  • 3.1 Survey Questions
  • 3.2 A Taxonomy of Question Features.
  • 3.3 Data Model and Vocabulary
  • 4 Annotation and Enrichment
  • 4.1 Manual Annotation
  • 4.2 Automatic Prediction
  • 4.3 Evaluation Setup
  • 4.4 Results
  • 5 Conclusion
  • References
  • QueDI: From Knowledge Graph Querying to Data Visualization
  • 1 Introduction
  • 2 Related Work
  • 3 QueDI: A Guided Approach to Query and Exploit LOD
  • 3.1 Linked Open Data Querying Challenges
  • 3.2 QueDI Overview
  • 3.3 Navigation Scenario on DBpedia
  • 4 Evaluation
  • 4.1 Accuracy, Expressivity and Scalability over QALD-9
  • 4.2 Usability
  • 5 Conclusion and Future Work
  • References
  • EcoDaLo: Federating Advertisement Targeting with Linked Data
  • 1 Introduction
  • 2 EcoDaLo
  • 3 Federating Advertisement Targeting with Linked Data
  • 3.1 High-Level Overview: Federated Querying with Common Identifier
  • 3.2 Example of Federated Querying with Common Identifier
  • 3.3 Design Considerations
  • 4 Deployment
  • 4.1 EcoDaLo Ad Server
  • 4.2 Common Trait Model
  • 4.3 Mapping to the Common Trait Model
  • 4.4 Federated Querying Layer
  • 4.5 Developer-Friendly API
  • 5 Validation
  • 5.1 Launched Campaign
  • 5.2 Functional Comparison
  • 6 Related Work
  • 7 Conclusion
  • 7.1 Privacy and Ethical Considerations
  • 7.2 Key Features of Our Approach
  • 7.3 Future Work
  • References
  • MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL Queries
  • 1 Introduction
  • 2 Related Work
  • 3 Motivating Example
  • 4 MINDS: From a Math Formula to SPARQL Bindings
  • 5 Precision Results
  • 6 Use Cases
  • 7 Conclusion
  • References
  • Integrating Historical Person Registers as Linked Open Data in the WarSampo Knowledge Graph
  • 1 Introduction
  • 2 Data: WarSampo Person Registers
  • 3 Method: Linking Person Records
  • 4 Results and Evaluation
  • 5 Discussion
  • References
  • Author Index.