[AISWorld] Final CFP: 9th Temporal Web Analytics Workshop (TempWeb), San Francisco, CA, USA, May 14, 2019

Marc Spaniol marc.spaniol at unicaen.fr
Mon Feb 4 16:54:44 EST 2019


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                    FINAL CALL FOR PAPERS
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           New Submission Deadline: February 7, 2019
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         Proceedings published with The Web Conference
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9th Temporal Web Analytics Workshop (TempWeb 2019)
in conjunction with The Web Conference 2019
May 14, San Francisco, CA, USA
http://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 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 deadline: February 7, 2019 ***
- *** Notification of acceptance: February 21, 2019 ***
- Camera-ready copy deadline: March 3, 2019
- Workshop: May 14, 2019

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=tempweb2019

Workshop Team

PC-Chairs and Organizers:
Marc Spaniol (University of Caen Normandy, France)
Ricardo Baeza-Yates (NTENT & Northeastern Univ. at SV, USA; UPF, 
Catalonia; UChile)
Julien Masanès (Internet Memory Research, France)

Program Committee (tentative):
Eytan Adar (University of Michigan, USA)
Céline Alec (University of Caen Normandy, France)
Omar Alonso (Microsoft Bing, USA)
Ralitsa Angelova (Google, Switzerland)
Srikanta Bedathur (IBM Delhi, India)
Andras A. Benczur (Hungarian Academy of Science)
Klaus Berberich (University of Applied Sciences, Saarbrücken, Germany)
Ricardo Campos (INESC TEC / Polytechnique Institute of Tomar, Portugal)
Renata Galante (Universidade Federal do Rio Grande do Sul, Brazil)
Adam Jatowt (Kyoto University, Japan)
Nattiya Kanhabua (NTENT, Spain)
Scott Kirkpatrick (Hebrew University Jerusalem, Israel)
Frank McCown (Harding University, USA)
Michael Nelson (Old Dominion University, USA)
Kjetil Norvag (Norwegian University of Science and Technology, Norway)
Nikos Ntarmos (University of Glasgow, UK)
Thomas Risse (University Library of Frankfurt, Germany)
Andreas Spitz (Heidelberg University, 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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