Knowledge Graphs: Semantics, Machine Learning, and Languages
eBook - PDF

Knowledge Graphs: Semantics, Machine Learning, and Languages

Proceedings of the 19th International Conference on Semantic Systems, 20-22 September 2023, Leipzig, Germany

  1. 262 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Knowledge Graphs: Semantics, Machine Learning, and Languages

Proceedings of the 19th International Conference on Semantic Systems, 20-22 September 2023, Leipzig, Germany

About this book

Semantic computing is an integral part of modern technology, an essential component of fields as diverse as artificial intelligence, data science, knowledge discovery and management, big data analytics, e-commerce, enterprise search, technical documentation, document management, business intelligence, and enterprise vocabulary management. This book presents the proceedings of SEMANTICS 2023, the 19th International Conference on Semantic Systems, held in Leipzig, Germany, from 20 to 22 September 2023. The conference is a pivotal event for those professionals and researchers actively engaged in harnessing the power of semantic computing, an opportunity to increase their understanding of the subject's transformative potential while confronting its practical limitations. Attendees include information managers, IT architects, software engineers, and researchers from a broad spectrum of organizations, including research facilities, non-profit entities, public administrations, and the world?s largest corporations. For this year's conference a total of 54 submissions were received in response to a call for papers. These were subjected to a rigorous, double-blind review process, with at least three independent reviews conducted for each submission. The 16 papers included here were ultimately accepted for presentation, with an acceptance rate of 29.6%. Areas covered include novel research challenges in areas such as data science, machine learning, logic programming, content engineering, social computing, and the Semantic Web. The book provides an up-to-date overview, which will be of interest to all those wishing to stay abreast of emerging trends and themes within the vast field of semantic computing.

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Yes, you can access Knowledge Graphs: Semantics, Machine Learning, and Languages by M. Acosta,S. Peroni,S. Vahdati,Maribel Acosta,Silvio Peroni,Sahar Vahdati,Anna-Lisa Gentile,Jan-Christoph Kalo in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title Page
  2. Preface
  3. About the Conference
  4. Contents
  5. Knowledge-Grounded Target Group Language Recognition in Hate Speech
  6. Using Pre-Trained Language Models for Abstractive DBPEDIA Summarization: A Comparative Study
  7. QALD-9-ES: A Spanish Dataset for Question Answering Systems
  8. Towards a Versatile Terminology Service for Empowering FAIR Research Data: Enabling Ontology Discovery, Design, Curation, and Utilization Across Scientific Communities
  9. Perplexed by Idioms?
  10. Native Execution of GraphQL Queries over RDF Graphs Using Multi-Way Joins
  11. Evaluating Reification with Multi-Valued Properties in a Knowledge Graph of Licensed Educational Resources
  12. BiPaSs: Further Investigation of Fast Pathfinding in Wikidata
  13. Polyvocal Knowledge Modelling for Ethnographic Heritage Object Provenance
  14. Virtual Reality Based Access to Knowledge Graphs for History Research
  15. TRANSRAZ Data Model: Towards a Geosocial Representation of Historical Cities
  16. COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs
  17. Classification of Linking Problem Types for Linking Semantic Data
  18. Semantics for Implementing Data Reuse and Altruism Under EU's Data Governance Act
  19. The FLINT Ontology: An Actor-Based Model of Legal Relations
  20. Semantifying the PlanQK Platform and Ecosystem for Quantum Applications
  21. Subject Index
  22. Author Index