Semantic Intelligence: Select Proceedings of ISIC 2022

Organization
Acknowledgments
About This Book
Keynote Talks
Pre-conference Tutorials
The Best Paper Awards
Contents
About the Editors
The Research Track
Toward a Solution for an Energy Knowledge Graph
	1 Introduction
		1.1 The European Electricity System
		1.2 Example Case Study
	2 Achieving Semantic Interoperability
		2.1 Research Questions
		2.2 Selection of Semantic Models
		2.3 Methodology
	3 Knowledge Graph Creation—The Semantic Pipeline
	4 Knowledge Graph Exploitation
		4.1 Energy Analytics Dashboard
		4.2 Alignment with EU Initiatives
	5 Conclusions
	Appendix
	References
Web-Based Visualization and Analysis Framework for Graph Data
	1 Introduction
	2 Preliminary
	3 Literature Background
	4 Proposed Architecture
	5 Methods
		5.1 Layout Algorithms
		5.2 Findings Paths and Cycle
		5.3 Bipartite
		5.4 Isomorphism
		5.5 Minimum Graph Colour
		5.6 Tree Test
	6 Conclusion
	References
Web Service Credibility Evaluation Methods in Different Application Domains
	1 Introduction
	2 Overview of Web Service Credibility
		2.1 Overview of Web Credibility
		2.2 Related Work
	3 Taxonomy of Web Credibility Measures
		3.1 Classification Criteria
		3.2 Taxonomy Classes of Web Credibility Measures
	4 Conclusion
	References
Semantic Web Ontology for Botnet Classification
	1 Introduction
	2 Background
		2.1 Ontology
		2.2 Semantic Web
		2.3 Botnet
	3 Methods
		3.1 Design of Botnet Class
		3.2 Design of Object Property (Behavior Class)
		3.3 Ontology Description of Botnet Individual
	4 Experiment and Results
		4.1 Application of Ontology to Python
	5 Conclusion
	References
Design and Performance Evaluation of a Multi-patient Health Monitoring System
	1 Introduction
	2 Related Works
		2.1 Health Monitoring Systems with Hazardous Gas Detection
	3 Methodology
		3.1 LM-35 Temperature Sensors
		3.2 Pulse Sensor
		3.3 MQ-2 Gas Sensor
		3.4 ESP8266 Wi-Fi Modem
	4 Results and Discussion
	5 Conclusion and Recommendation
	References
Discovering Novelty via Transfer Learning
	1 Introduction
	2 Related Works
	3 Proposed TL-based Novelty Detection
		3.1 Transforming Novelty Features
		3.2 Transferring Novelty at Parametric Level
		3.3 Transferring Novelty via Model Ensemble
		3.4 Novelty Detection Deployment Architecture
	4 Experimental Analysis
	5 Conclusions
	References
An Ontology for Social Media Data Analysis
	1 Introduction
	2 Literature
		2.1 Ontology-Based Sentiment Analysis
		2.2 Ontology in Healthcare Domain
		2.3 Depression Monitoring and Ontology
	3 Designing FeatureOnto Ontology
	4 FeatureOnto Ontology Model
	5 Conclusion
	References
The Coronavirus Disease Ontology (CovidO)
	1 Introduction and Motivation
	2 Related Work
	3 COVID-19 Information Dimensions
	4 The Coronavirus Disease Ontology (CovidO)
		4.1 Design Methodology
		4.2 New Features
		4.3 CovidO Scope
		4.4 Reusing the Ontology Concept
	5 Evaluation
		5.1 SPARQL Query Evaluation
		5.2 OOPS! Pitfall Evaluation
	6 Conclusion
	References
An Ethnolinguistic Research Agenda for Intelligent Autonomous Systems
	1 Introduction
	2 Overview
		2.1 Intelligent Knowledge Bases
		2.2 Intelligent Ethnolinguistic Knowledge Bases
	3 Background and Agenda
		3.1 Literature
		3.2 Agenda
	4 Discussion and Solution
		4.1 Knowledge Graph Construction
		4.2 Rules
		4.3 Use Cases
	5 Conclusion
	References
QuantumRNG, A Random Number Generator Using One Qubit
	1 Introduction
	2 Literature Survey
	3 Design
	4 Implementation
		4.1 Algorithm for Single Qubit Number Generator
		4.2 Algorithm for Multiple Qubit Parallel Numbers Generator
	5 Testing Our Algorithm
		5.1 Borel Normality Test
		5.2 Testing with Python Random Function
		5.3 Testing with QuantumRNG
		5.4 Testing with QiskitRNG
	6 Result and Discussions
		6.1 Results from Ibmq_belem
		6.2 Results from Ibmq_manila
		6.3 Results from Ibmq_qasm_simulator
	7 Conclusion
	References
Sign Language Detection Using Machine Learning
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Image Annotation
		3.2 Classification
		3.3 Training the Model
		3.4 Real-Time Detection
	4 Result
	5 Conclusion
	References
Scrutinize and Discover of Image of Freshwater Taken by Faraway Realizing Using FFNN and ConvNet Mechanisms
	1 Introduction
	2 Proposed Rule
	3 Results and Discussion
	4 Conclusion
	References
Knowledge-based Extraction  of Cause–Effect Relations  from Biomedical Text
	1 Introduction
	2 Cause–Effect Relation Extraction
		2.1 Proposed Approach
		2.2 Extraction of Additional Arguments
	3 Related Work
		3.1 SemRep and SemMedDB
	4 Experimental Analysis
		4.1 Leukaemia-Related PubMed Abstracts Corpus
		4.2 Gold-Standard Dataset
	5 Conclusion and Future Work
	References
NyOn: A Multilingual Modular Legal Ontology for Representing Court Judgements
	1 Introduction and Motivation
	2 Current Judicial System Scenario in India
	3 NyOn—The Nyaya Ontology
		3.1 Use Case Scenario
		3.2 Methodology
		3.3 NyOn Modules
	4 Related Work
	5 Conclusion
	References
The Applications and Deployment Track
Technologies for AI-Driven Fashion Social Networking Service with E-Commerce
	1 Introduction
	2 Related Work
		2.1 Deep Learning for Fashion
		2.2 Visual Search System
		2.3 Recommender System
	3 Service Overview
		3.1 Share and Browse OOTD
		3.2 Look into OOTD
		3.3 Get More Recommendations
	4 AI Components
		4.1 Fashion Object Detector
		4.2 Fashion Category Classifier
		4.3 Fashion Attribute Tagger
	5 Fashion Visual Search
		5.1 Dataset Construction
		5.2 Color Separation
		5.3 Model
		5.4 Experimental Results
		5.5 Inference Pipeline
	6 Recommender System
		6.1 Personalized OOTD Curation
		6.2 Style Leader Suggestion
	7 System Deployment
		7.1 Overall Architecture
		7.2 Serving Deep Learning Models
		7.3 Vector Indexing
		7.4 Data Warehouse and DAG Management
	8 Conclusion
	References
Deep Learning-Based Classification of Customer Communications of a German Utility Company
	1 Introduction
	2 Dataset of Customer Communications
	3 Selection of Modeling Techniques
		3.1 Classification Algorithms
		3.2 Text Encoding
		3.3 Approaches to Class Imbalance
	4 Models
	5 Evaluation
		5.1 Overall Performance
		5.2 Performance Over Individual Classes
		5.3 Separability of Classes
		5.4 Further Discussion
	6 Conclusions
	References
The Trends and Perspectives Track
Short Analysis of the Impact of COVID-19 Ontologies
	1 Introduction
	2 Short Analysis of COVID-19 Ontologies
		2.1 COVID-19 Ontologies in BioPortal
		2.2 Measuring Impact of Ontologies
	3 Related Work
	4 Summary and Conclusions
	References
Demystifying Semantic Intelligence for Enabling Intelligent Applications
	1 Introduction
		1.1 The Trajectory of Technological Progress
		1.2 Intelligent Applications
		1.3 Semantic Intelligence
		1.4 Contributions and Organization
	2 From Information to Knowledge
	3 Linked Open Data (LOD) Cloud
		3.1 Linked Data
		3.2 Open Data
		3.3 Linked Open Data
	4 Semantic Technologies as the Enabler
		4.1 Semantic Web Vision (Web of Machine-Readable Data)
		4.2 Semantic Technologies
	5 Discussion and Insights
		5.1 Artificial Intelligence Systems
		5.2 Trends of Semantic Intelligence
	6 Summary and Conclusions
	References
Sentiment Analysis of Public Health Concerns of Tokyo 2020 Olympics Using LSTM
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Extraction of Data
		3.2 Data Pre-Processing
		3.3 Model Development
		3.4 Model Training and Testing
	4 Results and Discussion
		4.1 Evaluation Based on Model Classification
		4.2 Evaluation Based on Model Accuracy
		4.3 Evaluation Based on Model Loss
		4.4 Evaluation Based on Confusion Matrix
	5 Conclusion and Recommendation
	References
Internet of Nano and Bio-Nano Things: A Review
	1 Introduction
	2 Internet of Nano Thing and Internet of Bio-Nano Things
		2.1 Network Architecture and Communication in IoNT and IoBNT
		2.2 IoNT and IoBNT Applications
	3 Challenges, Open Issues, and Future Research Directions
	4 Conclusion
	References
iTelos—Case Studies in Building Domain-Specific Knowledge Graphs
	1 Introduction
	2 Methodology
		2.1 Scope Definition
		2.2 Inception
		2.3 Informal Modeling
		2.4 Formal Modeling
		2.5 Data Integration
	3 Case Studies
	4 Evaluation
	5 Lessons Learned and Discussion
	6 Conclusion
	References
Comparative Study of Image Encryption and Image Steganography Using Cryptographic Algorithms and Image Evaluation Metrics
	1 Introduction
	2 Literature Survey
	3 Preliminaries
		3.1 Triple-DES
		3.2 Advanced Encryption System (AES)
		3.3 Steganography
	4 Implementation
		4.1 Image Steganography
		4.2 Image Encryption
	5 Results and Analysis
	6 Conclusion and Future Scope
	References