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

[Pascal Hitzler]

Semantic Web journal

Special Call for Linked Dataset Descriptions

<http://www.semantic-web-journal.net/blog/semantic-web-journal-special-call-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

Deadlines:

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
contact at semantic-web-journal.net

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