About iiWAS
Theme
From Data to Wisdom: Collecting, Processing, Analysing and Storing Data/Information to Support Human Intelligence
Aims & Scope
iiWAS is a leading international conference for researchers, practitioners, and industry experts in the field of information integration and web intelligence. The conference serves as a forum for presenting and discussing the latest advancements, trends, challenges, and opportunities related to these areas.
iiWAS covers a broad range of topics, including data integration, knowledge representation and reasoning, web mining, social network analysis, natural language processing, machine learning, big data analytics, and more. The conference attracts attendees from diverse backgrounds, including computer science, information systems, data science, artificial intelligence, and other related fields.
The conference features keynote speeches by leading researchers and practitioners, paper presentations, workshops, and panel discussions. Attendees have the opportunity to learn about the latest research findings, exchange ideas, network with peers, and collaborate on new projects. They can also interact with industry experts showcasing the latest technologies, tools, and services related to information integration and web intelligence.
iiWAS provides a platform for sharing knowledge, promoting innovation, and advancing the state of the art in information integration and web intelligence. Through this conference, attendees can gain valuable insights and contribute to the advancement of the field, ultimately leading to the development of more intelligent and effective web applications and services.
Topics of Interest
The conference program will include invited talks, peer reviewed technical program, demos, tutorials, panels, industrial presentations and exhibitions around but not limited to the following topics:
** Semantic Web and Ontology Integration:**
- Ontology Development and Maintenance
- Semantic Web Technologies and Standards
- Ontology-based Reasoning
- Linked Data Integration
- Ontology Alignment and Integration Techniques
** Big Data Integration and Analytics:**
- Scalable Data Integration Approaches
- Real-time Big Data Processing
- Data Warehousing and Integration
- Advanced Analytics and Machine Learning on Big Data
- Data Governance and Quality in Big Data Integration
** Machine Learning for Web Intelligence:**
- Natural Language Processing for Web Content
- Predictive Modeling in Web Applications
- Recommender Systems and Personalization
- Deep Learning for Web Intelligence
- Transfer Learning in Web Environments
** Blockchain and Data Integrity:**
- Blockchain in Data Integration
- Smart Contracts and Data Transactions
- Decentralized Identity and Access Control
- Consensus Algorithms and Data Consistency
- Use Cases for Blockchain in Web Intelligence
** Crossplatform Integration Challenges:**
- Interoperability in Crossplatform Integration
- API Design and Standardization
- Crossplatform Data Exchange Formats
- Crossplatform User Interface Design
- Crossplatform Integration Testing Strategies
** Knowledge Graphs and Graph Databases:**
- Knowledge Graph Construction and Maintenance
- Graph Database Technologies and Applications
- Querying and Reasoning on Knowledge Graphs
- Knowledge Graph Embeddings
- Integrating Knowledge Graphs with Semantic Web Technologies
** Privacy and Ethical Considerations in Web Intelligence:**
- Privacy-preserving Data Integration Techniques
- Ethical AI and Web Intelligence Practices
- Regulatory Compliance in Web Intelligence
- Fairness and Bias in Web Intelligence
- User Consent and Data Protection
** Web Services and APIs Integration:**
- RESTful Web Services Integration
- SOAP and GraphQL Integration
- API Security and Authentication
- API Documentation and Discovery
- Microservices and Service-oriented Architectures
** Cognitive Computing and Intelligent Agents:**
- Cognitive Computing Models and Frameworks
- Intelligent Agents in Web Applications
- Human-Agent Collaboration
- Explainable AI in Web Intelligence
- Cognitive Computing for Decision Support
** Cybersecurity and Web Intelligence:**
- Threat Intelligence Integration
- Security Analytics for Web Applications
- Web Application Security Testing
- Identity and Access Management in Web Intelligence
- Incident Response and Recovery
** Open Data Initiatives and Collaboration:**
- Open Data Standards and Formats
- Data Sharing and Collaboration Platforms
- Crowdsourcing and Citizen Science
- Open Data Policies and Governance
- Collaborative Data Integration Practices
** IoT Integration and Edge Computing:**
- Integration Challenges in IoT Systems
- Edge Computing for Web Intelligence
- Sensor Data Integration
- IoT Security and Privacy
- Edge-to-Cloud Integration Strategies
** Future Trends in Information Integration:**
- Emerging Technologies in Information Integration
- Quantum Computing and Information Integration
- Augmented Reality and Web Intelligence
- Edge AI and Edge-to-Cloud Integration
- Evolving Standards in Information Integration