***CALL FOR PAPERS***

***The 16th Temporal Web Analytics Workshop (TempWeb 2026)***

***in conjunction with The Web Conference 2026***

***April 13 or 14, 2026, Dubai, UAE***

***Papers published in The Web Conference Companion Proceedings***


https://www.temporalweb.net/

As in previous years, the objective of this workshop is to provide a venue for researchers of all domains (IE/IR, Web mining, etc.) where the temporal dimension opens an entirely new range of challenges and possibilities. The workshop’s ambition is to keep shaping a community of interest on the research challenges and possibilities resulting from the introduction of the time dimension in web analysis. The maturity of the Web, the emergence of large-scale repositories of web material, makes this very timely and a growing number of research projects and services are emerging that have this focus in common. Having a dedicated workshop will help, we believe, to take a rich and cross-domain approach to this continuous research challenge with a strong focus on the temporal dimension.

TempWeb focuses on investigating infrastructures, scalable methods, and innovative software for aggregating, querying, and analyzing heterogeneous data at Internet scale. Emphasis will be given to temporal data analysis along the time dimension for web data that has been collected over extended time periods. A major challenge in this regard is the sheer size of the data it exposes and the ability to make sense of it in a useful and meaningful manner for its users. It is worth noting that this trend of using big data to make inferences is not specific to web content analytics. A now-common strategy in post-genomic biology is to measure, quantitatively, the action of all (or as many as possible) of the genes at the level of the transcriptome, proteome, metabolome and phenotype, and to use computerized methods to infer gene function via various kinds of pattern recognition techniques. On the Web, to a large extent, we have also reached this point. Web scale data analytics therefore needs to develop infrastructures and extended analytical tools to make sense of these. Workshop topics of TempWeb therefore include, but are not limited to the following:

• Web scale data analytics
• Temporal Web analytics
• Distributed data analytics
• Web science
• Web dynamics
• Data quality metrics
• Time and space
• Web spam evolution
• Content evolution on the Web
• Systematic exploitation of Web archives
• Large scale data storage
• Large scale data processing
• Time aware Web archiving
• Data aggregation
• Web trends
• Topic mining
• Terminology evolution
• Community detection and evolution
• Temporal-based interfaces and visualization
• Evaluation and benchmarks
• Weather and climate related studies

Important Dates (tentative):

- Paper submission deadline: January 5, 2026
- Notification of acceptance: January 13, 2026
- Camera-ready copy deadline: February 2, 2026
- Workshop: April 13/14, 2026

Please post your submission (up to 6 pages for research papers or 2 pages for tool presentations, research demos and position papers) using the ACM template:
http://www.acm.org/publications/authors/submissions
at:
https://easychair.org/conferences?conf=www2026workshops
by selecting the Temporal Web Analytics Workshop 2026.

Workshop Team

PC-Chairs and Organizers:
Marc Spaniol (University of Caen Normandy, France)
Omar Alonso (Amazon, USA)
Ricardo Baeza-­Yates (KTH, Royal Institute of Technology Stockholm, Sweden; UPF, Spain; UChile)

Program Committee (tentative):
Eytan Adar (University of Michigan, USA)
Dirk Ahlers (Norwegian University of Science and Technology, Trondheim, Norway)
Ralitsa Angelova (Google, Switzerland)
Srikanta Bedathur (IIT Delhi, India)
Andras A. Benczur (Hungarian Academy of Science, Hungary)
Klaus Berberich (University of Applied Sciences, Saarbrücken, Germany)
Ricardo Campos (University of Beira Interior, Portugal)
Michael Dinzinger (University of Passau, Passau, Germany)
Govind (Amazon, India)
Adam Jatowt (University of Innsbruck, Austria)
Nikhil Jha (Polytechnic Institute of Turin, Italy)
Nattiya Kanhabua (SCG, Bangkok, Thailand)
Scott Kirkpatrick (Hebrew University Jerusalem, Israel)
Amit Kumar (Tarento Technologies Pvt Limited, India)
Behrooz Mansouri (Rochester Institute of Technology, USA)
Michael Nelson (Old Dominion University, USA)
Nikos Ntarmos (Huawei Technologies R&D, UK)
Kjetil Nørvåg (Norwegian University of Science and Technology, Norway)
Thomas Risse (University Library Johann Christian Senckenberg, Germany)
Nishavi Ranaweera (University of New South Wales, Australia)
Karolina Sliwa (Vienna University of Economics and Business, Austria)
Andreas Spitz (University of Konstanz, Germany)
Jannik Strötgen (University of Applied Sciences, Karlsruhe, Germany)
Torsten Suel (NYU Polytechnic, USA)
Masashi Toyoda (Tokyo University, Japan)
Gerhard Weikum (Max-Planck-Institut für Informatik, Germany)