[AISWorld] Final Paper Submission Deadline (Feb 26, AoE): 14th Temporal Web Analytics Workshop (TempWeb 2024), May 14, 2024, Singapore
Marc Spaniol
marc.spaniol at unicaen.fr
Mon Feb 19 14:34:41 EST 2024
******************FINAL DEADLINE EXTENSION**********************
***********************CALL FOR PAPERS**************************
****The 14th Temporal Web Analytics Workshop (TempWeb 2024)*****
*********in conjunction with The Web Conference 2024************
********************May 14, 2024, Singapore*********************
**Papers published in The Web Conference Companion Proceedings**
***Paper submission deadline extended: February 26, 2024 (AoE)***
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 computerised 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
Important Dates (tentative):
- *** Final paper submission deadline: February 26, 2024 (AoE) ***
- Notification of acceptance: March 4, 2024
- Camera-ready copy deadline: March 11, 2024
- Workshop: May 14, 2024
Please post your submission (up to 6 pages for research papers or 2
pages for tool presentations and position papers) using the ACM template:
http://www.acm.org/publications/authors/submissions
at:
https://easychair.org/conferences/?conf=thewebconf2024_workshops
Workshop Team
PC-Chairs and Organizers:
Marc Spaniol (Université de Caen Normandy, France)
Ricardo Baeza-Yates (Northeastern University, USA; UPF, Spain; UChile)
Omar Alonso (Amazon, USA)
Program Committee (tentative):
Eytan Adar (University of Michigan, USA)
Srikanta Bedathur (IIIT-Delhi, India)
Andras A. Benczur (Hungarian Academy of Science)
Klaus Berberich (University of Applied Sciences, Saarbrücken, Germany)
Ricardo Campos (Polytechnic Institute of Tomar)
Govind (Amazon, India)
Adam Jatowt (University of Innsbruck, Austria)
Nattiya Kanhabua (Upwork, Bangkok, Thailand)
Scott Kirkpatrick (Hebrew University Jerusalem, Israel)
Amit Kumar (Université de Caen Normandy, France)
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)
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)
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