6th Temporal Web Analytics Workshop (TempWeb)

We are very happy to confirm that TempWeb will be held this year in conjunction with
WWW2016 Montréal, Canada!

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


Please post your submission (up to 6 pages for research papers or 2 pages for tool presentations)
here using the ACM template.


As in previous year, the workshop is specifically focussed on the temporal dimension and the challenge to leverage time signals and expressions to capture dynamics and trends and understand time contextualization. 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 has proven relevant and fruitful to take a rich and cross-domain approach to this new research challenge with a strong focus on the temporal dimension.

Workshop Team

Marc Spaniol (Université de Caen, France)
Julien Masanès (
Internet Memory Foundation, France and Netherlands)
Ricardo Baeza-­Yates (
Yahoo! Labs, Spain)

Program Committee (tentative):
Omar Alonso (Microsoft Bing, USA)
Ralitsa Angelova (Google, Switzerland)
Srikanta Bedathur (IIIT-Delhi, India)
Andras A. Benczur (Hungarian Academy of Science)
Klaus Berberich (University of Applied Sciences, Saarbrücken, Germany)
Roi Blanco (Yahoo!, London)
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)
Peter Triantafillou (University of Glasgow, UK)
Gerhard Weikum (Max-Planck-Institut für Informatik, Germany)

Proceedings of the workshop will be published together with the WWW proceedings.