- From: Christian Bizer <chris@bizer.de>
- Date: Mon, 2 Nov 2015 10:06:10 +0100
- To: <public-lod@w3.org>, "W3C Vocabularies" <public-vocabs@w3.org>, <semantic-web@w3.org>, <semanticweb@yahoogroups.com>, <dbpedia-discussion@lists.sourceforge.net>
Hi all, Sören Auer, Tim Berners-Lee, Tom Heath, and I are organizing the 9th edition of the Linked Data on the Web workshop at WWW2016 in Montreal, Canada. The paper submission deadline for the workshop is 24 January, 2016. Please find the call for papers below. We are looking forward to having another exciting workshop and to seeing many of you in Montreal. Cheers, Chris, Tim, Sören, and Tom Call for Papers: 9th Workshop on Linked Data on the Web (LDOW2016) Co-located with 25th International World Wide Web Conference April 11 to 15, 2016 in Montreal, Canada http://events.linkeddata.org/ldow2016/ The Web is developing from a medium for publishing textual documents into a medium for sharing structured data. This trend is fueled on the one hand by the adoption of the Linked Data principles by a growing number of data providers. On the other hand, large numbers of websites have started to semantically mark up the content of their HTML pages and thus also contribute to the wealth of structured data available on the Web. The 9th Workshop on Linked Data on the Web (LDOW2016) aims to stimulate discussion and further research into the challenges of publishing, consuming, and integrating structured data from the Web as well as mining knowledge from the global Web of Data. The special focus of this year’s LDOW workshop will be Web Data Quality Assessment and Web Data Cleansing. *Important Dates* * Submission deadline: 24 January, 2016 (23:59 Pacific Time) * Notification of acceptance: 10 February, 2016 * Camera-ready versions of accepted papers: 1 March, 2016 * Workshop date: 11-13 April, 2016 *Topics of Interest* Topics of interest for the workshop include, but are not limited to, the following: Web Data Quality Assessment * methods for evaluating the quality and trustworthiness of web data * tracking the provenance of web data * profiling and change tracking of web data sources * cost and benefits of web data quality assessment * web data quality assessment benchmarks Web Data Cleansing * methods for cleansing web data * data fusion and truth discovery * conflict resolution using semantic knowledge * human-in-the-loop and crowdsourcing for data cleansing * cost and benefits of web data cleansing * web data quality cleansing benchmarks Integrating Web Data from Large Numbers of Data Sources * linking algorithms and heuristics, identity resolution * schema matching and clustering * evaluation of linking and schema matching methods Mining the Web of Data * large-scale derivation of implicit knowledge from the Web of Data * using the Web of Data as background knowledge in data mining * techniques and methodologies for Linked Data mining and analytics Linked Data Applications * application showcases including Web data browsers and search engines * marketplaces, aggregators and indexes for Web Data * security, access control, and licensing issues of Linked Data * role of Linked Data within enterprise applications (e.g. ERP, SCM, CRM) * Linked Data applications for life-sciences, digital humanities, social sciences etc. *Submissions* We seek two kinds of submissions: 1. Full scientific papers: up to 10 pages in ACM format 2. Short scientific and position papers: up to 5 pages in ACM format Submissions must be formatted using the ACM SIG template available at http://www.acm.org/sigs/publications/proceedings-templates. Accepted papers will be presented at the workshop and included in the CEUR workshop proceedings. At least one author of each paper has to register for the workshop and to present the paper. *Organizing Committee* Christian Bizer, University of Mannheim, Germany Tom Heath, Open Data Institute, UK Sören Auer, University of Bonn and Fraunhofer IAIS, Germany Tim Berners-Lee, W3C/MIT, USA *Contact Information* For further information about the workshop, please contact the workshops chairs at: ldow2016@events.linkeddata.org -- Prof. Dr. Christian Bizer Data and Web Science Group University of Mannheim, Germany chris@informatik.uni-mannheim.de http://dws.informatik.uni-mannheim.de/bizer
Received on Monday, 2 November 2015 09:06:46 UTC