The 1st International Workshop on AI and Web Data Analytics (AIWDA 2024)

About:

For updated news and information about this workshop, please visit the workshop webpage

Artificial Intelligence (AI) and its derivatives are revolutionizing the landscape of Web data analytics. AI models are extensively used to collect, process, analyze, and report data on how people interact with Web applications, social media, and other online platforms. They can help understand a Web site’s audience in terms of preferences, behaviors, and reactions. AI can automate, improve, and personalize Web analytics, through learning and natural language processing algorithms. It can also help generate insights, recommendations, and actions based on Web data analytics. The 1st International Workshop on AI and Web Data Analytics (AIWDA 2024) to be held in conjunction with The International Web Information Systems Engineering Conference (WISE’2024) is an excellent international forum to share knowledge and results in theory, techniques, and applications of recent developments of blending AI with Web Data Analytics. The workshop solicits contributions in major fields of AI, Web analytics, Data analytics, and social networks from theoretical and practical perspectives.

Organizers:

  • Belkacem Chikhaoui, University of Doha for Science and Technology, Qatar.
  • Zakaria Maamar, University of Doha for Science and Technology, Qatar.

Topics of Interest:

Authors are invited to contribute to the workshop by submitting papers that showcase research findings, innovative projects, surveys, work in progress, and industrial experiences that highlight significant advances in the following topics but not limited to:

  • Web data representation, mining, and discovery
  • Deep learning for Web data analytics
  • Mining and learning in Web data with missing information and noise
  • Explainable AI in Web data analytics
  • Responsible AI of Web technologies, standards, platforms and applications
  • AI algorithmic deployment on the Web
  • Social network data mining
  • Impact of misinformation and disinformation on Web data analytics
  • Privacy-enhancing technologies for Web data analytics
  • Efficiency and scalability of Web search engines
  • Multilingual and cross-lingual Web search
  • Natural language understanding for Web search
  • Large language models for search
  • Semantic Web, semantic models, knowledge graphs
  • LLMs for knowledge graphs
  • Influence propagation, information diffusion, and the prediction on networks (link prediction, node or subgraph prediction)
  • AI for personalized search and recommendations
  • Sentiment analysis and opinion mining

Submission Guidelines

All submitted demo proposals must be formatted according to the instructions for submission format for research submissions and must be no longer than 8 pages in the Springer LNCS format. This page limit includes all parts of the paper: title, authors and affiliation, abstract, body, and bibliography. Demos will be selected based on (i) the novelty of the demo system, (ii) the novelty and the technical quality of the underlying research, and (iii) the demonstration scenario and applications of the presented system or technology.

All submissions must go through EasyChair system via Easychair

Important Dates

  • Submission Deadline: 30 June, 2024
  • Acceptance/Rejection Notification: 30 August, 2024
  • Camera-Ready Files Submission Deadline: 07 September, 2024

Publication

Please note that for every accepted paper, it is required that at least one person registers for the conference and presents the paper. All accepted papers will be included in the proceedings published as Springer’s LNCS series.