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Semantic Web journal: Special Call 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).

Semantic Web journal Awards 2015

The Semantic Web journal is pleased to announce this year's awards.

The Semantic Web journal 2015 Outstanding Reviewer Award goes to Amrapali Zaveri, Stanford University, CA, USA.

The Semantic Web journal 2015 Outstanding Paper Award goes to

Semantic Web journal ranked among top 2 on "Web" as topic

The Semantic Web journal is listed on Google Scholar's Top 20 publications matching Web. The page lists both journals and conferences, and the Semantic Web journal is ranked 6th according to the h5-index, and ranked 2nd if only journals are considered. It is ranked 4th according to the h5-median, and ranked 1st if only journals are considered.

Special Call for Papers on Semantic Methods for Big Data Management and Analysis

Semantic Web Journal Special Call for Papers on

SEMANTIC METHODS FOR BIG DATA MANAGEMENT AND ANALYSIS

The Semantic Web journal calls for innovative and high-quality papers describing the role of Semantic Web technologies, Linked Data, and ontologies for the Big Data age. Papers can either focus on innovative contributions to methods and technology, or on the transfer of state of the art methods to an application domain, e.g. in the geo- or life sciences, in the humanities, or to industry-driven topics.

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