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TempWeb 2023 : The 13th Temporal Web Analytics Workshop (TempWeb 2023)

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Link: https://www.temporalweb.net/
 
When Apr 30, 2023 - May 1, 2023
Where Austin, TX, USA
Submission Deadline Feb 22, 2023
Notification Due Mar 6, 2023
Final Version Due Mar 20, 2023
Categories    web mining   web science   information retrieval   network analysis
 

Call For Papers

***********************CALL FOR PAPERS*************************

****The 13th Temporal Web Analytics Workshop (TempWeb 2023)****

*********in conjunction with The Web Conference 2023***********

*************April 30 - May 1, Austin, TX, USA*****************

**Papers published in The Web Conference Companion Proceedings*

****Paper submission deadline extended: February 22, 2023******


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
• 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

Important Dates (tentative):

- *** Paper submission : February 22, 2023 ***
- Notification of acceptance: March 6, 2023
- Camera-ready copy deadline: March 20, 2023
- Workshop: April 30 - May 1, 2023

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=thewebconf2023iwpd

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)
Behrooz Mansouri (Rochester Institute of Technology, USA)
Ricardo Campos (Polytechnic Institute of Tomar)
Renata Galante (Universidade Federal do Rio Grande do Sul, Brazil)
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)
Frank McCown (Harding University, USA)
Ndapa Nakashole (University of California, 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 (Bosch Center for Artificial Intelligence, Germany)
Torsten Suel (NYU Polytechnic, USA)
Masashi Toyoda (Tokyo University, Japan)
Gerhard Weikum (Max-Planck-Institut für Informatik, Germany)

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