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**********************CALL FOR PAPERS***********************
****The 13th Temporal Web Analytics Workshop (TempWeb 2023)****
*********in conjunction with The Web Conference 2023************
*****************May 1/2, Austin, TX, USA**********************
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 6, 2023
- Notification of acceptance: March 6, 2023
- Camera-ready copy deadline: March 20, 2023
- Workshop: May 1/2, 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=tempweb2023
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)
Pierre Senellart (École Normale Supérieure Paris, France)
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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