Biomedical Engineering Reference
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Knowledge Review' in the right-hand panel. Using the Maps List or Map
view interfaces, users can securely share maps with each other via email
invites and receive alerts (either email or RSS) to new information that is
published or added to the GEM data core about interesting entities.
19.7 TripleMap collaborative, dynamic
knowledge maps
The rapid growth of the internet has fostered the development of novel
'social media' technologies. These technologies enable large communities
of individuals to share information, communicate and interact. The rapid
adoption of these systems by user communities speaks to their value for
human interaction. As successful as these systems are however, many have
very limited semantic capabilities. Twitter [17], for example, allows for
nothing more than the sharing and forwarding of small snippets of text
(140 characters to be exact) with the 'hashtag' ('#') serving as the only
meta-data feature. Facebook [18], another highly successful social system,
allows for the simple sharing of personal information and photos.
YouTube [19] allows for the sharing of video and LinkedIn [20] allows
for the sharing of one's professional information. These are all fairly
simple systems and yet they have become massively pervasive, impactful,
and successful. As discussed in the chapters by Alquier (Chapter 16), Wild
(Chapter 18) and Harland et al. (Chapter 17), we share the vision that as
semantic technologies establish themselves, the next generation of
collaboration tools will evolve through the more sophisticated capabilities
enabled by computable knowledge representation. With that in mind we
have designed TripleMap so that it provides an extension of the
collaborative capabilities of platforms such as wikis, Twitter, and social
networks by utilizing semantic technologies to enable users to share and
collaborate around the creation of structured data representations or
maps of entities and the associations between entities. The maps in
TripleMap are structured data representations of what is known about
the entities in a given domain space (e.g. drugs, diseases, targets, clinical
trials, documents, people, organizations, the meta-data for those entities,
and the associations between them). Maps are created as users search for
and identify the entities that are of interest to them. Furthermore, we
refer to the maps that are created by users as 'dynamic knowledge
maps' (Figure 19.3) because once created by a user any given map is
continuously and automatically updated with the latest information
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