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E-raamat: Knowledge Graphs and Semantic Web: Third Iberoamerican Conference and Second Indo-American Conference, KGSWC 2021, Kingsville, Texas, USA, November 22-24, 2021, Proceedings

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Knowledge Graphs and Semantic Web: Third Iberoamerican Conference and Second Indo-American Conference, KGSWC 2021, Kingsville, Texas, USA, November 22-24, 2021, ProceedingsSuurem pilt
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This book constitutes the thoroughly refereed proceedings of the Third Iberoamerican Conference, KGSWC 2021, held in Kingsville, Texas, USA, in November 2021.*

The 22 full and 2 short papers presented were carefully reviewed and selected from 85 submissions. The papers cover topics related to software and its engineering, information systems, software creation and management, World Wide Web, web data description languages, and others.

*Due to the Covid-19 pandemic the conference was held virtually.
InDO: The Institute Demographic Ontology.- Bridging Upper Ontology and
Modular Ontology Modeling: A Tool and Evaluation.- Empirical Evaluation of a
Cloud-based Graph Database: The case of Neptune.- Towards Knowledge Graphs
Validation through Weighted Knowledge Sources.- Design and Analysis of NICS
based Web Attack Detection for Advanced Intrusion Detection System.- A System
for Traffic Events Detection using Fuzzy C-Means.- Multilingual Short Text
Analysis of Twitter using Random Forest Approach.- Quality Assessment of
Library Linked Data: A Case Study.- An Enhanced Meta-Model to Generate Web
Forms for Ontology Population.- An Ontology-based Source Selection for
Federated Query Processing: A Case Study.- OntoKnowNHS: Ontology driven
Knowledge centric Novel Hybridised Semantic Scheme for Image Recommendation
using Knowledge Graph.- The Covid-19 CODO Development Process: An Agile
Approach to Knowledge Graph Development.- Selecting Ontologies for Reuse:
Case of constructing Hotel Room Ontology.- Fabula: Hybridised Weightage based
Book Recommendation System.- An Enhanced Personal Profile Ontology for
Software Requirements Engineering Tasks Allocation.- Leveraging Enterprise
Knowledge Graphs for Efficient Bridging Between Business Data with
Large-scale Web Data.- Metadata Driven Semantically Aware Medical Query
Expansion.- Property Assertion Constraints for an Informed, Error-Preventing
Expansion of Knowledge Graphs.- Fake News Detection using Deep
Learning.- Efficient Visual Sentiment Prediction approaches using deep
learning models.- Uniform Textual Feedback Analysis for Effective Sentiment
Analysis.- Towards Development of Knowledge Graph for Narrative Information
in Medicine.- Automatic Text Summarization using Transformers.- Soft
Computational Techniques to discover unique and precise knowledge from Big
Data.
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