The semantic web journal as linked data

The Semantic Web journal implements an open and transparent review process which creates a unique bibliographic dataset. In addition to traditional publication data such as author names and paper titles, each paper in this dataset is also accompanied with a fully timestamped history of its successive decision statuses, assigned editors, solicited and voluntary reviewers, full text reviews, comments, and in many cases also the authors' response letters. This dataset presents a rich and valuable resource for a variety of studies, such as understanding the collaboration networks of scholars as well as exploring the trending topics in the field of Semantic Web. This dataset is now publicly available online as Linked Data. In this short paper, we report the availability, novelty, as well as some design considerations of this dataset.