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TempWeb 2020 : The 10th Temporal Web Analytics Workshop 2020 (@ The Web Conference)

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Link: http://www.temporalweb.net/
 
When Apr 20, 2020 - Apr 20, 2020
Where Taipei, Taiwan
Submission Deadline Jan 23, 2020
Notification Due Feb 6, 2020
Final Version Due Feb 17, 2020
Categories    computer science   data mining   web   big data
 

Call For Papers

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CALL FOR PAPERS
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New Submission Deadline: January 23, 2020
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in conjunction with The Web Conference
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10th Temporal Web Analytics Workshop (TempWeb 2020)
in conjunction with The Web Conference 2020
April 20, Taipei, Taiwan
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: ***January 23, 2020***
- Notification of acceptance: ***Feb 6, 2020***
- Camera-ready copy deadline: Feb 17, 2020
- Workshop: April 20, 2020

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=tempweb2020

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 (ProductChain, France)

Program Committee (tentative):
Eytan Adar (University of Michigan, USA)
Céline Alec (University of Caen Normandy, France)
Omar Alonso (Curai, 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 (Polytechnic Institute of Tomar, Portugal)
Renata Galante (Universidade Federal do Rio Grande do Sul, Brazil)
Nattiya Kanhabua (Kasikorn Business-Technology Group, Thailand)
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 (École polytechnique fédérale de Lausanne, Switzerland)
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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