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TempWeb 2024 : 14th Temporal Web Analytics Workshop

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Link: http://temporalweb.net/
 
When May 14, 2024 - May 14, 2024
Where Singapore
Submission Deadline Feb 26, 2024
Notification Due Mar 4, 2024
Final Version Due Mar 11, 2024
Categories    web   web science   information extraction   data mining
 

Call For Papers

******************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):

- *** Paper submission deadline extended: 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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