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[PVS] Semantic Web Journal: Special Call for Linked Dataset Descriptions

Semantic Web journal

Special Call for Linked Dataset Descriptions


Linked Data is a key enabler for the Semantic Web vision, and a decisive step towards a truly "Semantic" Web.

The Semantic Web journal calls for brief papers (about 4-6 pages) containing a concise description of a Linked Dataset. The paper shall describe in concise and clear terms key characteristics of the dataset as a guide to its usage for various (possibly unforeseen) purposes. In particular, such a paper shall typically give information, amongst others, on the following aspects of the dataset.

* Name, URL, version date and number, licensing, availability, etc.

* Topic coverage, source for the data, purpose and method of creation and maintenance, reported useage etc.

* Metrics and statistics on external and internal connectivity, use of established vocabularies (e.g., RDF, OWL, SKOS, FOAF), language expressivity, growth.

* Examples and critical discussion of typical knowledge modeling patterns used.

* Known shortcomings of the dataset.

Papers will be evaluated along the following dimensions: Quality of the dataset, usefulness (or potential usefulness) of the dataset, clarity and completeness of the descriptions.

Papers should usually be written by people involved in the generation or maintenance of the dataset, or with the consent of these people.

Prospective authors must take notice of the submission guidelines posted at http://www.semantic-web-journal.net/authors


Paper submission: May 20th, 2012
Notification: Usually within 8 weeks of submission

In case of questions, please contact the Editors-in-chief:

Pascal Hitzler
Krzysztof Janowicz

Prof. Dr. Pascal Hitzler
Dept. of Computer Science, Wright State University, Dayton, OH
pascal@xxxxxxxxxxxxxxxxx   http://www.knoesis.org/pascal/
Semantic Web Textbook: http://www.semantic-web-book.org
Semantic Web Journal: http://www.semantic-web-journal.net