Difference between revisions of "LDOW 2016"

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(Created page with "{{Event |Acronym=LDOW 2016 |Title=9th Workshop on Linked Data on the Web |Series=LDOW |Type=Workshop |Field=Semantic Web |Superevent=WWW 2016 |Start date=2016/04/13 |End date=...")
 
 
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''Enter your description here. Maybe just paste in the call for papers.''
+
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.
 +
 
  
−
==Topics==
 
 
==Submissions==
 
==Submissions==
−
==Important Dates==
 
  
−
==Committees==
+
We seek two kinds of submissions:
−
* Co-Organizers
+
 
−
* General Co-Chairs
+
  1. Full scientific papers: up to 10 pages in ACM format
−
** [[has general chair::some person]], some affiliation, country
+
  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.
  
−
* PC Co-Chairs
+
Accepted papers will be presented at the workshop and included in the
−
** [[has program chair::some person]], some affiliation, country
+
CEUR workshop proceedings. At least one author of each paper has to
 +
register for the workshop and to present the paper.
  
−
* Workshop Chair
 
−
** [[has workshop chair::some person]], some affiliation, country
 
  
−
* Panel Chair
+
==Organizing Committee==
−
** [[has OC member::some person]], some affiliation, country
 
  
−
* Seminars Chair
+
* Christian Bizer, University of Mannheim, Germany
−
** [[has tutorial chair::some person]], some affiliation, country
+
* Tom Heath, Open Data Institute, UK
 +
* Sören Auer, University of Bonn and Fraunhofer IAIS, Germany
 +
* Tim Berners-Lee, W3C/MIT, USA
  
−
* Demonstration Co-Chairs
 
−
** [[has demo chair::some person]], some affiliation, country
 
−
** [[has demo chair::some person]], some affiliation, country
 
  
−
* Local Organizing Co-Chairs
+
==Contact Information==
−
** [[has local chair::some person]], some affiliation, country
 
  
−
* Program Committee Members
+
For further information about the workshop, please contact the workshops
−
** [[has PC member::some person]], some affiliation, country
+
chairs at: ldow2016@events.linkeddata.org

Latest revision as of 09:39, 29 May 2016

LDOW 2016
9th Workshop on Linked Data on the Web
Event in series LDOW
Subevent of WWW 2016
Dates 2016/04/13 (iCal) - 2016/04/13
Homepage: http://events.linkeddata.org/ldow2016/
Location
Location: Montreal, Canada
Loading map...

Important dates
Submissions: 2016/01/24
Committees
General chairs: Sören Auer, Chris Bizer, Tom Heath, Tim Berners-Lee
Table of Contents



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

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Facts about "LDOW 2016"
RDF feed
AcronymLDOW 2016 +
End dateApril 13, 2016 +
Event in seriesLDOW +
Event typeWorkshop +
Has coordinates45° 29' 50", -73° 36' 37"Latitude: 45.497216666667
Longitude: -73.610363888889 +
Has general chairSören Auer +, Chris Bizer +, Tom Heath + and Tim Berners-Lee +
Has location cityMontreal +
Has location countryCategory:Canada +
Homepagehttp://events.linkeddata.org/ldow2016/ +
IsAEvent +
Start dateApril 13, 2016 +
Subevent ofWWW 2016 +
Submission deadlineJanuary 24, 2016 +
Title9th Workshop on Linked Data on the Web +