Biomedical Engineering Reference
In-Depth Information
19
TripleMap: a web-based semantic
knowledge discovery and
collaboration application for
biomedical research
Ola Bildtsen, Mike Hugo, Frans Lawaetz,
Erik Bakke, James Hardwick,
Nguyen Nguyen, Ted Naleid and
Christopher Bouton
Abstract: TripleMap [1] is a web-based semantic search and
knowledge collaboration application for the biomedical research
community. Users can register for free and login from anywhere in
the world using a standard web browser. TripleMap allows users to
search through and analyze the connections in a massive
interconnected network of publicly available data being continuously
compiled from Linking Open Drug Data [2] sources, the entire
corpus of PubMed abstracts and full text articles, more than 10 000
biomedical research relevant RSS feeds, and continuously updating
patent literature. TripleMap represents everything in its data
network as 'master entities' that integrate all information for any
given entity. By searching for, and saving sets of entities, users build,
share, and analyze 'dynamic knowledge maps' of entities and their
associations.
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Key words: semantic technologies; Big Data; RDF; analytics;
visualization; semantic search; triples; knowledge collaboration.
 
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