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

Hi all,

In case you don't know yet what do in your X-Mas holidays, why not
preparing a submission for the WWW2016 workshop on Linked Data on the
Web (LDOW2016) in Montreal, Canada ;-) The paper submission deadline for
the workshop is  24 January, 2016. Please find the call for papers below.

BTW: LDOW now also accepts HTML5+RDFa submissions according to the
Linked Research principles: https://github.com/csarven/linked-research
with embedded semantic and interactive content.

Looking forward seeing you at LDOW2016 in Montreal!

Cheers,

Sören Chris, Tim, 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 or in HTML5
e.g. according to the Linked Research
(https://github.com/csarven/linked-research) principles.

For authoring submission according to the Linked Research principles
authors can use dokieli (https://github.com/linkeddata/dokieli) - a
decentralized authoring and annotation tooling. HTML5 papers can be
submitted by either providing an URL to their paper (in HTML+RDFa, CSS,
JavaScript etc.) with supporting files, or an archived zip file
including all the material.

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


-- 
Enterprise Information Systems, Computer Science, University of Bonn
http://eis.iai.uni-bonn.de/SoerenAuer

Fraunhofer-Institute Intelligent Analysis & Information Systems (IAIS)
Organized Knowledge -- http://www.iais.fraunhofer.de/Auer.html

Skype: soerenauer, Mobile +4915784988949

http://linkedin.com/in/soerenauer
https://twitter.com/SoerenAuer

Received on Thursday, 17 December 2015 10:52:35 UTC