Knowledge Graphs and Semantic Web: Third Iberoamerican Conference and Second Indo-American Conference, Kgswc 2021, Kingsville, Texas, Usa, November 22

ISBN-13: 9783030913045 / Angielski / Miękka / 2021 / 360 str.

Villazón-Terrazas, Boris

Opis

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.

Spis treści

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.