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:
- Web Intelligence
- Cloud/Edge Computing & Data Management
- Crowdsourcing & Human Computation
- Big Data Processing & Analytics
- Blockchain Technologies
- Data Integration, Metadata Management, and Interoperability
- Data Connectivity in Internet of Things
- Deep/Hidden Web
- Distributed, Parallel, Spatial & Cloud Databases
- Education Informatics
- Health Informatics
- Linked Open Data
- Query Languages & Processing
- Semantics & KnowledgeÂ
- Social Networks Analysis & Graph Management
- Social Media Processing & Analytics
- Trusted, Responsible and Interpretable AI
- Web Mining & Content Analysis