There are notable initiatives by public sector bodies which take on holistic approaches to build a sustainable ecosystem around data that supports social, economic and political impact [6]. The recommendations lean towards making reusable and machine-friendly formats available, in parallel to their PDF equivalents. In 1999 article, Practical Knowledge Representation for the Web stated that the lack of semantic markup is a major barrier to the development of more intelligent document processing on the Web, and meta-data annotation of Web sources is essential for applying AI techniques on a large and successful scale [7], which at large, remain as open issues today. The Web Science community continues to conduct research tracks, workshops, and challenges, in a manner that even the call for papers of top-level Web conferences request research documents that are neither machine nor Web-friendly. There remains strong demands for submissions to be solely in Word or PDF formats, meanwhile requesting strict adherence to the dimensions and limitations of a printable page. Unfortunately, research articles which discuss the discoveries about the Semantic Web, semantic publications or linked science are locked inside well-known data-silos: Word and PDF, and thus unnecessarily challenging to extract information, or conduct pattern recognition from within. The community is however becoming more aware of the public discussions around these issues in recent years, and considering to make efforts towards improving the state of research publishing within its own field.