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Introduction

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

Programme

The timing for presentations and breaks at LDOW2016 is shown below.

Session 1: Linked Data Publication & Consumption

Session 2: Data Linking

Session 3: Linked Data Processing and Curation

Session 4: Open Discussion



Topics of Interest

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

Web Data Quality Assessment Web Data Cleansing Integrating Web Data from Large Numbers of Data Sources Mining the Web of Data Linked Data Applications

Submissions

We seek the following 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 (as per the WWW2016 Research Track) available at http://www.acm.org/sigs/publications/proceedings-templates or in HTML5 e.g. according to the Linked Research principles. For authoring submission according to the Linked Research principles authors can use 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.

Please note that the author list does not need to be anonymized, as we do not operate a double-blind review process. Submissions will be peer reviewed by at least three independent reviewers. Accepted papers will be presented at the workshop and included in the workshop proceedings. At least one author of each paper is expected to register for the workshop and attend to present the paper.

Please submit papers via EasyChair at https://easychair.org/conferences/?conf=ldow2016

Organising Committee

Programme Committee

Contact Information

For further information about the workshop, please contact the workshops chairs at: ldow2016 @ events . linkeddata . org

Previous Workshops