Publication

ALL accepted iiWAS2025 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.

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 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. 

Prior to 2020, iiWAS has been held in Munich (2019), Yogyakarta (2018), Salzburg (2017), Singapore (2016), Brussels (2015), Hanoi (2014), Vienna (2013), Bali (2012), Ho Chi Minh City (2011), Paris (2010), Kuala Lumpur (2009), and Linz (2008). iiWAS2020, iiWAS2021 and iiWAS2022 conferences were held as virtual conferences. iiWAS2023 was held as in person conference in Bali, Indonesia and iiWAS2024 was held in person in Bratislava, Slovak Republic.

Submissions

iiWAS accepted four different types of contributions:
- Original theoretical work:  The contributions are expected to show original work that provide foundations to further progress research in the area. Rigorous proofs and/or performance measurements are expected for this type of contribution.
- Real life case study:  The contributions are expected to show a real life case study of an adopted concept and technology. The analysis of the case study should provide an original insight and findings, backing up by data collected from experiments and/or observation.
- Experimental work:  The contributions are expected to show reporting of rigorous comparative experiments of existing algorithms/systems to provide insight to the current state of the art in a research domain.
- Lessons learnt reports: The contributions are expected to show lessons learnt from adoption of complex technology integration or implementation.

Topics

Specific topics of interest include, but are not limited to:
- Semantic Web and Ontology Integration
- Big Data Integration and Analytics
- Machine Learning for Web Intelligence
- Blockchain and Data Integrity
- Crossplatform Integration Challenges
- Knowledge Graphs and Graph Databases
- Privacy and Ethical Considerations in Web Intelligence
- Web Services and APIs Integration
- Cognitive Computing and Intelligent Agents
- User Experience and HumanComputer Interaction
- Cybersecurity and Web Intelligence
- Open Data Initiatives and Collaboration
- IoT Integration and Edge Computing
- Future Trends in Information Integration