W3C home > Mailing lists > Public > public-lod@w3.org > November 2015

Re: CfP: WWW2016 workshop on Linked Data on the Web (LDOW2016)

From: Hugh Glaser <hugh@glasers.org>
Date: Thu, 5 Nov 2015 22:42:21 +0000
Cc: public-lod <public-lod@w3.org>
Message-Id: <BC42C631-57BE-456F-85CE-5E2FA0172ADD@glasers.org>
To: chris@bizer.de
Many thanks Chris, very helpful information, and very quickly.
And good news too!

> On 3 Nov 2015, at 15:45, Christian Bizer <chris@bizer.de> wrote:
> 
> Hi Hugh,
> 
>> Hi Chris et al,
>> Great stuff.
>> Can you tell me please if it will be possible to register for the workshop on its own, or will a registration for the full WWW be required to register for the workshop?
> 
> The WWW2016 workshop track chairs just confirmed that it will be possible to register again for the workshop days (not a specific workshop) similar to the arrangement last year.
> 
> The concrete prices seem not to be set yet, but last year the fees were 410 Euro just for the workshop days compared to 850 Euro for the full pass.
> 
> See http://www.www2015.it/registrations/
> 
> Cheers and hope to see you in Montreal,
> 
> Chris
> 
>> 
>>> On 2 Nov 2015, at 09:06, Christian Bizer <chris@bizer.de> wrote:
>>> 
>>> 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
>>> 
>>> 
>>> 
>>> 
>>> 
> 
> 
> 
> -- 
> 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 Thursday, 5 November 2015 22:42:40 UTC

This archive was generated by hypermail 2.4.0 : Friday, 17 January 2020 16:22:27 UTC