"From Data to Insight: Advancing Information Integration and Web Intelligence for Human-Centric Decision Making"

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 evolves. 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.

List of Topics

iiWAS 2026 solicits original papers on all aspects of Web artificial intelligence, including but not limited to:

• Semantic Web and Ontology Integration
• Big Data Integration and Analytics
• Machine Learning for Web Intelligence
• Blockchain and Data Integrity
• Generative Modelling and Large Language Models
• Cross-platform Integration Challenges
• Knowledge Graphs and Graph Databases
• Privacy and Ethical Considerations in Web Intelligence
• Web Services and APIs Integration
• Cognitive Computing and Intelligent Agents
• Cybersecurity and Web Intelligence
• Open Data Initiatives and Collaboration
• IoT Integration and Edge Computing
• Future Trends in Information Integration

See (https://www.iiwas.org/conferences/iiwas2026/about-iiwas.html) for the full list

Publication

ALL accepted iiWAS2026 papers will be published by Springer in their Lecture Notes in Computer Science (LNCS).

LNCS volumes are indexed in Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for indexing in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science.

Selected high-quality papers will be invited to be published, after revision and extension, in special issues of international journals.

Submission Guidelines & Procedure

Authors are invited to submit full papers (maximum 15 pages) or short papers (maximum 6 pages) in PDF format. All submissions will be peer-reviewed by a panel of experts.

Submission guideline: (https://www.iiwas.org/conferences/iiwas2026/paper-submission.html)

Authors should first consult Springer’s authors’ instructions (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) and use the proceedings templates, either for LaTeX or for Word, for the preparation of their papers. 

Program Committees Chairs

• Eric Pardede, La Trobe University, Australia
• Qiang Ma, Kyoto Institute of Technology, Japan

For further information, please visit the conference website at https://www.iiwas.org/conferences/iiwas2026/  or contact the organizers at iiwas2026@iiwas.org for inquiries.