Biomedical Engineering Reference
In-Depth Information
being published from structured (e.g. databases) and unstructured (e.g.
document) sources.
Knowledge maps promote collaboration because once built they can
be shared with colleagues in private groups or can be shared publicly
with the entire TripleMap community. Each knowledge map provides a
'bird's eye view' of the things in which a user is most interested
(Figure 19.3). Users are able to save and share the knowledge maps that
they create. The creation and saving of maps is valuable for several
reasons. First, in the act of creating maps, the associations, including
unexpected associations, between things are discovered because the
system prompts the user with all associations between entities that are
stored in the master data network of the GEM data core. Second, maps
can be shared with others, thereby allowing users to share structured
data representations of the information in which they are interested with
their colleagues in groups or more broadly with the wider research
community. Third, users can search through all available maps to identify
other users working on maps similar to theirs. Finally, maps can be used
TripleMap web application with knowledge maps. The
TripleMap web application interface is shown.
Knowledge maps are created from search results and
then saved and shared by users of the TripleMap
system. Maps are used by the system as automatic
scans against all unstructured (e.g. documents, journal
articles, patent text, RSS feeds) sources available to
the system such that novel information about anything
in any map is highlighted and the user is alerted (via
email or RSS) once it is detected
Figure 19.3
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