Semantic Intelligence: Select Proceedings of ISIC 2022

✍ Scribed by Sarika Jain, Sven Groppe, Bharat K. Bhargava

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 329
• Series: Lecture Notes in Electrical Engineering, 964
• Category: Library

✦ Synopsis

This book constitutes refereed proceedings of the 2nd International Semantic Intelligence Conference (ISIC 2022). This book covers a wide range of topics, including semantic web engineering, ontology-based data access, multimodal and multilingual access, machine-to-machine communications and interoperability, knowledge extraction and ontology learning from the web, computational paradigms and computational intelligence, distributed and mobile systems, and many others. This book includes novel contributions and the latest developments from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.

✦ Table of Contents

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