USEWOD 2014: Building a Web Observatory for research on LOD usage
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4th Workshop on Usage Analysis and the Web of Data
at ESWC2014, Anissaras, Crete, Greece, May 25th, 2014.

The USEWOD workshop series has created and maintained a forum for researchers to investigate the synergy between the Web of Data and Web usage mining. This involves the analysis of semantic data usage but also the exploitation of Semantic Web technologies to advance usage mining approaches in general. Among other things, USEWOD hosts what has become the reference data set for research on query logs of Linked Data endpoints.

This 4th edition of USEWOD will focus on this as a special theme: 
building a USEWOD Web Observatory to track the distribution of research based on the USEWOD data set. Web Observatories study a global network of heterogeneous data repositories, each observing and analysing the activity on the Web across a range of topics. Of course, the USEWOD data set will be extended again and a data challenge offered.

We invite submissions on this theme (and other topics pertinent to USEWOD), and in addition to paper presentations, the workshop will host a live crowdsourcing activity to collect the provenance metadata that finally brings together the root data set and as many publications that refer to it as possible. A keynote presentation will complement the contributed presentations and the crowdsourcing activity.

Data Challenge 
In addition to regular presentations and live crowdsourcing activity, USEWOD2014 includes a data challenge. As in previous years, we will release a dataset of usage data (server log files) from Linked Open Data sources. Participants are invited to present interesting analyses, applications, alignments, etc. for these datasets, and to submit their findings as a Data Challenge paper. 

Topics of interest include, but are not limited to:
  Working with the USEWOD reference datasets 2011-2014: Insights, lessons learned, challenges, and improvements for the future
  Analysis and mining of usage logs of semantic resources and applications
  Inferring semantic information from usage logs
  Methods and tools for semantic analysis of usage logs
  Representing and enriching usage logs with semantic information
  Statistics of usage of the Linked Data Web
  Usage-based evaluation methods and frameworks; gold standards for evaluating web applications	
  Specifics and semantics of logs for content consumption and content creation
  Using semantics for recommendation, personalization and adaptation
  Usage-based recommendation, personalization and adaptation of semantic web applications
  Exploiting usage logs for semantic search.
  Data sharing, privacy, and privacy-protecting policies and techniques

Important dates
March 7th, 2014		Submission deadline
April 7th, 2014         Acceptance notification
April 15th, 2014        Camera Ready
May 25th, 2014        	Workshop

Format and submission
We invite (1) regular research papers, (2) USEWOD Data Challenge papers, and (3) USEWOD Provenance Proposals, describing innovative ideas about how the USEWOD data set (and other datasets) and the papers based on it can be interlinked on the Web in a sustainable fashion. All papers should not exceed 10 pages in LNCS style, and we will make clear that shorter papes are also welcome.

All accepted papers will be presented in long (20 min talk + 10 min questions) or short (10 min talk + 5 min questions) time slots, depending on their quality and potential for discussion. The proceedings will be published via , and provenance metadata will be provided.

The workshop will consist of
* the contributed presentations of types (1), (2), and (3)
* a keynote on the USEWOD 2014 Web Observatory theme
* the live crowdsourcing activity

For the latter, workshop participants get access to a Web-based tool that allows them to search for scientific publications, to capture provenance information conforming to the W3C standard, and to store this in a repository which is part of the Southampton Web Observatory. After the workshop, we will evaluate the different provenance graphs created by the participants and  their answers to an additional questionnaire. Via this study, we seek to better understand the different emphases people set when capturing provenance information about scholarly work and the different ways in which they perform their research online. This will help us to inform Web Observatory research with how crowdsourced content can be fed back into productive Web Observatory infrastructures.

Further information
on the workshop website:

The workshop organisers (please mail us at
Bettina Berendt, KU Leuven, Belgium
Laura Hollink, VU Amsterdam, The Netherlands
Markus Lukzak-Roesch, University of Southampton, UK