7th Temporal Web Analytics Workshop (TempWeb)

We are very happy to confirm that TempWeb will be held this year in conjunction with
WWW2017 Perth, Australia!

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. 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, we have to a large extent, 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

Previous Events

The proposed workshop will be the seventh of its kind. The workshop (series) has been launched in conjunction with WWW 2011 in Hyderabad (India), the second edition in conjunction with WWW 2012 in Lyon (France), the third edition in conjunction with WWW 2013 in Rio de Janeiro (Brazil), the fourth edition in conjunction with WWW 2014 in Seoul (Korea), the fifth edition in conjunction with WWW 2015 in Florence (Italy) and the sixth edition in conjunction with WWW 2016 in Montreal (Canada).

Workshop Format & Registration

Paper submission
here, deadline: January 7, 2017
Notification of acceptance: January 31, 2017
Camera-ready copy deadline: February 14, 2017
Workshop: April 3-7, 2017

Workshop Team

Marc Spaniol (Université de Caen, France)
Ricardo Baeza-­Yates
(NTENT, USA; UPF, Spain; UChile)
Julien Masanès (
Internet Memory Research, France)

Program Committee (tentative):
Eytan Adar (University of Michigan, USA)
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)
Roi Blanco (University of La Coruna, Spain)
Philipp Cimiano (University of Bielefeld, Germany)
Renata Galante (Universidade Federal do Rio Grande do Sul, Brazil)
Adam Jatowt (Kyoto University, Japan)
Nattiya Kanhabua (Aalborg University, Denmark)
Scott Kirkpatrick (Hebrew University Jerusalem, Israel)
Christian König (Microsoft Research, USA)
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)
Philippe Rigaux (Conservatoire National des Arts et Métiers, France)
Thomas Risse (L3S Research Center, Germany)
Jannik Strötgen (Max-Planck-Institut für Informatik, Germany)
Rodrygo Luis Teodoro Santos (University of Glasgow, UK)
Pierre Senellart (Telecom ParisTech, France)
Torsten Suel (NYU Polytechnic, USA)
Masashi Toyoda (Tokyo University, Japan)
Gerhard Weikum (Max-Planck-Institut für Informatik, Germany)