Information Modelling and Knowledge Bases XX 1st Edition by Yasushi Kiyoki, Takahiro Tokuda, Hannu Jaakkola, Xing Chen, Naofumi Yoshida ISBN 1614998337 9781614998334
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Authors:Kiyoki, Yasushi. , Author sort:Kiyoki, Yasushi. , Published:Published:Mar 2009
Information Modelling and Knowledge Bases XX 1st Edition by Yasushi Kiyoki, Takahiro Tokuda, Hannu Jaakkola, Xing Chen, Naofumi Yoshida – Ebook PDF Instant Download/Delivery. 1614998337 ,9781614998334
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ISBN 10: 1614998337
ISBN 13: 9781614998334
Author: Yasushi Kiyoki, Takahiro Tokuda, Hannu Jaakkola, Xing Chen, Naofumi Yoshida
Information modelling and knowledge bases have become ever more essential in recent years because of the need to handle and process the vast amounts of data which now form part of everyday life. The machine to machine communication of the Internet of Things (IoT), in particular, can generate unexpectedly large amounts of raw data. This book presents the proceedings of the 27th International Conference on Information Modelling and Knowledge Bases (EJC2017), held in Krabi, Thailand, in June 2017. The EJC conferences originally began in 1982 as a co-operative initiative between Japan and Finland, but have since become a world-wide research forum bringing together researchers and practitioners in information modelling and knowledge bases for the exchange of scientific results and achievements. Of the 42 papers submitted, 29 were selected for publication here, and these cover a wide range of information-modelling topics, including the theory of concepts, semantic computing, data mining, context-based information retrieval, ontological technology, image databases, temporal and spatial databases, document data management, software engineering, cross-cultural computing, environmental analysis, social networks, and WWW information.
Information Modelling and Knowledge Bases XX 1st Edition Table of contents:
Part I: Theoretical Foundations of Information Modelling
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Fundamentals of Information Modelling
- Overview of Information Modelling Techniques
- Types of Information Models: Conceptual, Logical, and Physical
- Basic Principles of Knowledge Representation
- Formal Methods in Information Modelling
- Case Studies: Application of Models in Real Systems
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Ontology and Semantic Modelling
- Introduction to Ontologies in Information Modelling
- Building and Managing Ontologies
- Semantic Web and Knowledge Representation
- Ontology Languages: RDF, OWL, and SPARQL
- Applications of Semantic Modelling in Information Systems
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Knowledge Representation Languages
- Logic-Based Knowledge Representation
- Frames, Semantic Networks, and Conceptual Graphs
- Probabilistic and Fuzzy Knowledge Representation
- Hybrid Approaches to Knowledge Representation
- Case Studies in Logic-Based Systems
Part II: Advanced Information Modelling Techniques
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Data Integration and Interoperability
- Techniques for Integrating Heterogeneous Data Sources
- Data Fusion and Semantic Integration
- Interoperability Challenges in Distributed Systems
- Data Standards and Protocols for Interoperability
- Real-World Examples of Data Integration Solutions
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Temporal and Spatial Modelling
- Modelling Time and Space in Information Systems
- Temporal Databases and Their Applications
- Spatial Databases and GIS: Techniques and Challenges
- Integrating Temporal and Spatial Information
- Applications in Real-Time and Location-Based Systems
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Advanced Database Design
- Relational and Non-Relational Database Models
- Designing for Big Data and Distributed Systems
- Schema Design and Normalization Techniques
- Handling Large-Scale Data in Information Systems
- Performance Optimization in Advanced Database Systems
Part III: Knowledge-Based Systems and Applications
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Knowledge Base Construction
- Knowledge Acquisition Techniques
- Ontology-Driven Knowledge Base Construction
- Tools and Technologies for Building Knowledge Bases
- Eliciting Expert Knowledge for System Design
- Managing and Updating Knowledge Bases
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Expert Systems and Decision Support Systems
- Foundations of Expert Systems
- Design and Implementation of Decision Support Systems (DSS)
- Knowledge-Based Systems for Business Decision Making
- Case Studies: Expert Systems in Healthcare and Engineering
- Integrating Machine Learning with Expert Systems
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Artificial Intelligence and Knowledge-Based Systems
- AI Techniques for Knowledge Representation and Reasoning
- Machine Learning and Knowledge Discovery
- Expert Systems vs. AI: Key Differences and Integrations
- AI-Driven Knowledge Management and Automation
- Future Directions for AI in Knowledge-Based Systems
Part IV: Emerging Trends in Information Modelling
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Big Data and Cloud-Based Information Systems
- Managing Big Data with Knowledge Representation Models
- Cloud Computing for Knowledge Sharing and Collaboration
- Scalable Information Models for Cloud-Based Systems
- Security and Privacy in Cloud-Based Knowledge Systems
- Real-Time Data Processing and Big Data Analytics
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The Internet of Things (IoT) and Knowledge Bases
- IoT and Its Impact on Knowledge Representation
- Integrating IoT Data with Knowledge-Based Systems
- Real-Time Data Processing in IoT Environments
- Building Knowledge Bases for Smart Systems
- Case Studies in Smart Cities and Autonomous Systems
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Blockchain and Knowledge Representation
- Blockchain Technology for Decentralized Knowledge Sharing
- Smart Contracts and Blockchain-Driven Knowledge Systems
- Data Provenance and Integrity in Blockchain-based Systems
- Security and Trust in Blockchain-Enabled Knowledge Systems
- Future of Blockchain in Knowledge Representation
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