Biomedical Engineering Reference
In-Depth Information
application and our annotators scribe the information directly into
the system now.
In addition to capturing the knowledge about a drug, any new ideas
scientists have can be captured and overlaid by processes that are connected
to other diseases or drugs. This work is usually done by an informatician
working with the scientists and building the maps in the system together.
Approaches such as this have not been initiated before because to
attempt this approach without robust visualisation technology would be
extremely diffi cult, and it would be virtually impossible to develop the
interactivity required in alternative technologies such as mind mapping
or presentation software. In truth, the underlying Prefuse technology has
now been applied to many different areas across AstraZeneca because it
is simple to adopt, easy to customise and intuitive for end-users to use.
For example, this has been further developed into a business-led,
multifaceted system for computational biology networks with vast sets of
these networks together.
14.7.4 Atlas Of Science - searching for the
missing links
Atlas Of Science is a software tool written in Java and based on the
Prefuse toolkit. It provides a simple and interactive mechanism for
searching and dynamically visualising information contained within
large sets of documents. The original version of Atlas Of Science was
intended for the one master set of publications held in the SOLR Index
(described elsewhere in this chapter), but it can also be used to look at
any set or subsets of documents from other projects, using either a Lucene
index or a SOLR index.
The user enters into a document search either a direct SOLR query
(e.g. all documents containing the work 'cataract'), those matching a list
of key words (e.g. those that have previously marked as talking about
'pancreatic cancer'; documents written by a particular author), or a
combination of a number of these criteria. The numbers of documents
that match the query are displayed, along with the top key words found
in those documents as seen in Figure 14.9.
The system allows the user to visualise these key words in a number of
ways:
■
key word lists. The key word list panel shows the key words that have
been found across your result set. They can be ordered by total number
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