CfP: 8th Workshop on Linked Data on the Web (LDOW2015) at WWW2015 in Florence, Italy

Dear all,

 

The 8th edition of the Linked Data on the Web workshop will take place

at WWW2015 in Florence, Italy. 

 

This is kind of a reminder that the paper submission deadline for the
workshop is approaching quickly:

 

Papers are due March 15th, 2015. 

 

Please find the call for papers below.

 

We are looking forward to having another exciting LDOW workshop and to

seeing many of you in Florence.

 

Best,

 

Chris, Sören, Tom, Tim

 

 

 

*** Call for Papers ***

 

8th Workshop on Linked Data on the Web (LDOW2015)

 

Co-located with 24nd International World Wide Web Conference

18-22 May 2015, Florence, Italy

 

http://events.linkeddata.org/ldow2015/

 

 

The Web is continuing to develop from a medium for publishing textual

documents into a medium for sharing structured data. In 2014, the Web of

Linked Data grew to a size of about 1000 datasets with contributions

coming from companies, governments and other public sector bodies such

as libraries, statistical bodies or research institutions. In parallel,

the schema.org initiative has found increasing adoption with large

numbers of websites semantically marking up the content of their HTML pages.

 

The 8th Workshop on Linked Data on the Web (LDOW2015) 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. In addition to its

traditional focus on open web data, the special focus of this year’s

LDOW workshop will be the application of Linked Data technologies in

enterprise settings as well as the potentials of interlinking closed

enterprise data with open data from the Web.

 

 

*Important Dates*

 

* Submission deadline:  15 March, 2015

* Notification of acceptance:  6 April,, 2015

* Camera-ready versions of accepted papers: 20 April, 2015

* Workshop date: 19 May, 2015

 

 

*Topics of Interest*

 

Topics of interest for the workshop include, but are not limited to, the

following:

 

Linked Enterprise Data

* role of Linked Data within enterprise applications (e.g.ERP, SCM, CRM)

* integration of SOA and Linked Data approaches in joint frameworks

* authentication, security and access control approaches for Linked

Enterprise Data

* use cases combining closed enterprise data with open data from the Web

 

Mining the Web of Data

* large-scale approaches to deriving implicit knowledge from the Web of Data

* using the Web of Data as background knowledge for data mining

 

Integrating Data from Large Numbers of Web Data Sources

* crawling, caching and querying Web data

* identity resolution, linking algorithms and heuristics

* schema matching and clustering

* data fusion

* evaluation of linking, schema matching and data fusion methods

 

Quality Assessment, Provenance Tracking and Licensing

* evaluating quality and trustworthiness of Web data

* tracking provenance and usage of Web data

* licensing issues in Web data publishing and integration

* profiling and change tracking of Web data sources

 

Linked Data Applications

* application showcases including browsers and search engines

* marketplaces, aggregators and indexes for Web data

* Linked Data applications for life-sciences, digital humanities, social

sciences etc.

* business models for Linked Data publishing and consumption

 

 

*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.

 

 

*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

 

 

--

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