- From: Markus Luczak-Rösch <markus.luczak-roesch@fu-berlin.de>
- Date: Fri, 5 Apr 2013 11:47:00 +0200
- To: <public-lod@w3.org>
Dear colleagues, due to the high interest in the USEWOD log data set during the last three years, we decided to integrate two new features into the workshop program. First a lightweight opportunity for the presentation of latest and preliminary research results and second an additional on-site hacking challenge that invites everyone who attends the workshop or is around at ESWC to submit and present an analysis of a specific subset of the USEWOD data set implemented in no more than 8 days. The on-site hacking challenge will be focused on data visualization and interlinking! =============== USEWOD 2013: First Call for late research abstracts =============== This is the first call for late research abstracts that describe experiments or plans for such that base upon the latest but also the former USEWOD data sets. The abstracts will not be published as part of the USEWOD 2013 workshop proceedings but authors of accepted abstracts will be invited to give a 15 minutes presentation at the day of the workshop. The decision about acceptance of abstracts will be made by the workshop chairs. We offer two submission rounds which allow people that need to plan the workshop attendance earlier to submit an abstract but also allows very late submissions for people that still need to run an experiment or recognize the call late. Important dates =============== * Abstract submission deadline (first round): 19 April 2013 * Notification of acceptance (first round): 22 April 2013 * Abstract submission deadline (second round): 10 May 2013 * Notification of acceptance (second round): 13 May 2013 * Workshop and USEWOD Challenge: 26 May 2013 Submission ========= Late abstracts must be submitted as a PDF no longer than 2 pages without any strict formatting requirements. However, ACM (http://www.acm.org/sigs/publications/proceedings-templates) or LNCS (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) formats are recommended. Proceed to https://www.easychair.org/conferences/?conf=usewod2013 for submitting your abstracts. =============== USEWOD 2013: Announcement of the 1st USEWOD on-site hacking challenge =============== We have released a data set of usage data (server log files) from Linked Open Data sources. This year's challenge data increases the amount of logs available from DBpedia and Semantic Web Dog Food (SWDF), and adds a new focus on the biomedical domain, by adding SPARQL endpoint logs from bioportal.bioontology.org (one of the most actively used terminology services in the biomedical domain, and well-known beyond the borders of the Computer Science research community) and open-biomed.org.uk. In addition to our regular USEWOD Data Challenge, we now also invite you to participate in our USEWOD 2013 On-site Hacking Challenge: 8 days before the workshop starts we will release a specific subset of this data and invite people to process and/or analyse it. The formal requirement for participation will be that the code used to process the data is publicly available as open source, accompanied results of the processing, such as visualisations, or newly found relations between entities in the challenge data (i.e., "linksets"). Participants will be invited to pitch their approach at the workshop in a ~three minutes - three slides lightning talk. The submission should be done via easychair as a plain text file containing URIs where the respective resources are available for download, and must not be done later than May 24th 23:59 CET. More information as well as the data will be available at: http://data.semanticweb.org/usewod/2013/onsite_challenge.html About USEWOD ============ The purpose of this workshop is to investigate new developments concerning the synergy between semantics and semantic-web technology on the one hand, and the analysis and mining of usage data on the other hand. Semantics can be used to enhance the analysis of usage data. Usage data analysis can enhance semantic resources as well as Semantic Web applications. The emerging Web of Data demands a re-evaluation of existing evaluation techniques: the Linked Data community is recognizing that it needs to move "beyond triple counts". Usage analysis is a key method for the evaluation of a datasets and applications. New ways of accessing information enabled by the Web of Data requires the development or adaptation of algorithms, methods, and techniques to analyze and interpret the usage of Web data instead of Web pages. The results can provide fine-grained insights into how semantic datasets and applications are being accessed and used by both humans and machines - insights that are needed for optimizing the design and ultimately ensuring the success of semantic resources. Topics of interest ================== USEWOD2013 welcomes all research that combines usage data and the web of data, for instance work on: * 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. * Usage-based evaluation methods and frameworks; gold standards for evaluation of 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. Workshop chairs =============== * David Vallet, Universidad Autonoma de Madrid, Spain * Knud Moeller, Datalysator, Berlin, Germany * Markus Luczak-Roesch, Freie Universitaet Berlin, Germany * Laura Hollink, VU University Amsterdam, The Netherlands * Bettina Berendt, KU Leuven, Belgium ---> Please contact us at usewod2013-chairs@googlegroups.com -------------------------------------------------------------- Dipl.-Inform. Markus Luczak-Rösch | Freie Universität Berlin Lecturer/Research Associate | Dept. of Computer Science www.markus-luczak.de | Königin-Luise-Str. 24/26 | D-14195 Berlin -------------------------------------------------------------- Networked Information Systems WG | Phone: +49 30 838 75226 | luczak@inf.fu-berlin.de www.ag-nbi.de | Skype: markus_luczak --------------------------------------------------------------
Received on Friday, 5 April 2013 09:47:27 UTC