CfP:Linked Dataset descriptions. Special call of the Semantic Web journal
Special Call of the Semantic Web journal for
LINKED DATASET DESCRIPTIONS
Linked Data is a key enabler for the Semantic Web vision and one of the
steps towards a truly "Semantic Web".
The Semantic Web journal calls for brief papers (usually about 5-8
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 (if applicable).
Name, URL, versioning, licensing, availability
Topic coverage, source for the data
Purpose of the Linked Dataset, e.g. demonstrated by relevant
queries or inferences over it
Applications using the dataset and other metrics of use
Creation, maintenance and update mechanisms as well as policies to
ensure sustainability and stability
Quality, quantity and purpose of links to other datasets
Domain modeling and use of established vocabularies
Examples and critical discussion of typical knowledge modeling
Known shortcomings of the dataset
A discussion of the dataset in the context of the Five Stars of
Linked Data Vocabulary Use,
Papers will be evaluated along the following dimensions: quality of the
dataset, usefulness (or potential usefulness) of the dataset, as well as
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.