  Literature reviews have long played a fundamental role in synthesizing the
current state of a research field. However, in recent years, certain fields
have evolved at such a rapid rate that literature reviews quickly lose their
relevance as new work is published that renders them outdated. We should
therefore rethink how to structure and publish such literature reviews with
their highly valuable synthesized content. Here, we aim to determine if
existing Linked Data technologies can be harnessed to prolong the relevance of
literature reviews and whether researchers are comfortable with working with
such a solution. We present here our approach of ``living literature reviews''
where the core information is represented as Linked Data which can be amended
with new findings after the publication of the literature review. We present a
prototype implementation, which we use for a case study where we expose
potential users to a concrete literature review modeled with our approach. We
observe that our model is technically feasible and is received well by
researchers, with our ``living'' versions scoring higher than their traditional
counterparts in our user study. In conclusion, we find that there are strong
benefits to using a Linked Data solution to extend the effective lifetime of a
literature review.
