[AISWorld] Deadline Extension: 13th Temporal Web Analytics Workshop (TempWeb 2023), May 1/2, Austin, TX, USA

[Marc Spaniol]

***********************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 extended: 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)
Klaus Berberich (University of Applied Sciences Saarbrücken, Germany)
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)