TempWeb 2016 - 6th Temporal Web Analytics Workshop (TempWeb)

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