  The accessibility of content for all has been a key goal of the Web since its
conception. However, true accessibility -- access to relevant content in the
global context -- has been elusive for reasons that extend beyond physical
accessibility issues. Among them are the spoken languages, literacy levels,
expertise, and culture. These issues are highly significant, since information
may not reach those who are the most in need of it. For example, the minimum
wage laws that are published in legalese on government sites and the
low-literate and immigrant populations. While some organizations and volunteers
work on bridging such gaps by creating and disseminating alternative versions
of such content, Web scale solutions much be developed to take advantage of its
distributed dissemination capabilities. This work examines content
accessibility from the perspective of inclusiveness. For this purpose, a human
in the loop approach for renarrating Web content is proposed, where a
renarrator creates an alternative narrative of some Web content with the intent
of extending its reach. A renarration relates some Web content with an
alternative version by means of transformations like simplification,
elaboration, translation, or production of audio and video material. This work
presents a model and a basic architecture for supporting renarrations along
with various scenarios. We also discuss the potentials of the W3C specification
for Web Annotation Data Model towards a more inclusive and decentralized social
web.
