Temporal Web Analytics Workshop

10th Temporal Web Analytics Workshop (TempWeb)
April 20th, 2020


We are very happy to confirm that TempWeb will be held this year in conjunction with WWW2020 in Taipei!



Workshop Objectives

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 up an entirely new range of challenges and possibilities. The workshop’s ambition is to help 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 set of research 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 new research challenge with a strong focus on the temporal dimension.


Workshop Topic and Themes

TempWeb focuses on investigating infrastructures, scalable methods, and innovative software for aggregating, querying, and analyzing heterogeneous data at Internet scale. Particular 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. 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 extended deadline: January 23rd, 2020
- Notification of acceptance: Feb 6 2020
- Camera-ready copy deadline: Feb 17, 2020
- Workshop: April 20/21, 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


Previous Events


The workshop (series) has been launched in conjunction with WWW 2011 in Hyderabad (India) and has been with WWW each year since then.



Workshop Team

Chair:
Marc Spaniol (Université de Caen Normandy, France)
Ricardo Baeza-­Yates (
NTENT, USA; Northeastern University, USA; UPF, Spain; 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)