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Abstract
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<h5 class="section-title" id="d2190677e94">Introduction</h5>
<p id="d2190677e96">Biomedical research is increasingly becoming a data-intensive
science in several areas,
where prodigious amounts of data is being generated that has to be stored, integrated,
shared and analyzed. In an effort to improve the accessibility of data and knowledge,
the Linked Data initiative proposed a well-defined set of recommendations for exposing,
sharing and integrating data, information and knowledge, using semantic web technologies.
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<h5 class="section-title" id="d2190677e99">Objective</h5>
<p id="d2190677e101">The main goal of this paper is to identify the current status
and future trends of
knowledge representation and management in Life and Health Sciences, mostly with regard
to linked data technologies.
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<h5 class="section-title" id="d2190677e104">Methods</h5>
<p id="d2190677e106">We selected three prominent linked data studies, namely Bio2RDF,
Open PHACTS and EBI
RDF platform, and selected 14 studies published after 2014 (inclusive) that cited
any of the three studies. We manually analyzed these 14 papers in relation to how
they use linked data techniques.
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<h5 class="section-title" id="d2190677e109">Results</h5>
<p id="d2190677e111">The analyses show a tendency to use linked data techniques in
Life and Health Sciences,
and even if some studies do not follow all of the recommendations, many of them already
represent and manage their knowledge using RDF and biomedical ontologies.
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<h5 class="section-title" id="d2190677e114">Conclusion</h5>
<p id="d2190677e116">These insights from RDF and biomedical ontologies are having
a strong impact on how
knowledge is generated from biomedical data, by making data elements increasingly
connected and by providing a better description of their semantics. As health institutes
become more data centric, we believe that the adoption of linked data techniques will
continue to grow and be an effective solution to knowledge representation and management.
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