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E-raamat: Knowledge Graphs and Semantic Web: 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13-15, 2023, Proceedings

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This book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13–15, 2023.

The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.
An ontology for Tuberculosis Surveillance System.- Should I Stay or
Should I Go: A New Reasoner for Description Logic.- An Intelligent Article
Knowledge Graph Formation Framework using BM25 Probabilistic Retrieval
Model.- Defeasible Reasoning with Knowledge Graphs.-  Recommendation of
Learning Paths based on Open Educational Resources.- An enterprise
architecture for interpersonal activity knowledge management.- Unlocking the
Power of Semantic Interoperability in Industry 4.0: A Comprehensive
Overview.- On the Representation of Dynamic BPMN Process Executions in
Knowledge Graphs.- Towards a Framework for Seismic Data.- Using Pregel to
create Knowledge Graphs subsets described by non-recursive Shape
Expressions.- ITAQ : Image Tag Recommendation Framework for Aquatic Species
integrating Semantic Intelligence via Knowledge Graph.- Automatic Semantic
Typing of Pet E-Commerce Products Using Crowdsourced Reviews: An Experimental
Study.- A ModularOntology for MODS Metadata Object Description Schema.- A
Topic Model for the Data Web.- Automating the Generation of Competency
Questions for Ontologies with AgOCQs.- KnowWhereGraph-Lite: A Perspective of
the KnowWhereGraph.- Ontology-Based Models of Chatbots for Populating
Knowledge Graphs.- An Ontology for Reasoning about Fairness in Regression and
Machine Learning.- SCIVO: Skills to Career with Interests and Values
Ontology.- Topic Modeling for Skill Extraction from Job Postings.