About iiWAS


Collecting, Processing, Analysing and Storing Data/Information to Support Human Intelligence

Aims & Scope

Data and information are crucial in providing evidence based decision making in many aspect of human activities, as an individual or as a group. The way information and communication technology are used to collect, process, analysis and store data has always evolve. New techniques are invented, existing techniques are improved and old techniques are integrated to the new. Each of these provided some challenges and opportunities to our research community in finding the best way to meet these challenges. iiWAS provides research community with the opportunity to share and discuss their ideas.

The goal of the iiWAS2021 conference is to provide an international forum for scientists, engineers, and managers in academia, industry, and government to address recent research results and to present and discuss their ideas, theories, technologies, systems, tools, applications, work in progress and experiences on all theoretical and practical issues arising in information and service integration.

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
  • Data science and Data engineering
  • Cloud and Edge Computing
  • Trusted, Responsible and Interpretable AI
  • Big data & Data Analytics
  • Cloud data management
  • NoSQL databases
  • Crowd-sourcing
  • Social networks analysis
  • Sensors data management
  • Data Mining
  • Semantic Web and Ontology
  • Search and Information Technology
  • Query Language and Processing
  • Advanced web technology and application
  • Spatial data storage, query and processing
  • Health informatics
  • Education informatics
  • Data Integration, Metadata Management, and Interoperability
  • Distributed, parallel and cloud databases
  • Social media analytics and processing
  • Data modelling and analysis
  • Big data processing
  • Web content analysis, semantic and knowledge
  • Data systems integration
  • Data connectivity in internet of things
  • Blockchain Technologies
  • Linked Open Data
  • Deep/Hidden Web