LDOW 2016

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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
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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