Biomedical Engineering Reference
In-Depth Information
associations for entities from the data it is given. Instead of having to
laboriously create all of the data connections the system is going to
use, administrators are able to provide the system with data sources
and some basic information about those data sources and the system
automatically derives and interconnects all of the data that it is given.
The system is able to conduct this process of automated property,
label, and association derivation continuously as novel data become
available in all of the originating sources it is monitoring.
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Derive data from numerous sources: TripleMap is able to derive data
from numerous sources including static RDF fi les, dynamic remote
SPARQL endpoints, relational databases, XML fi les, tab-delimited
text fi les, Sharepoint TeamSites, RSS feeds, Documentum repositories
and networked fi le system locations.
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Entity sets as persistent associative models or 'maps': TripleMap users
are able to create maps of entities as they conduct searches. These
maps are structured data representations of everything known in the
system including entity properties, entity-entity associations and
relevant documents. These maps can be saved and thus persisted across
usage sessions in the system.
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Maps as composite search strings against all information streams: any
map a user creates is automatically used by the system as a composite
search against all information streams that the system monitors. The
system constantly scans these information streams (e.g. documents, RSS
feeds, wikis, patent literature) for mentions of any of the entities in a
user's saved maps and alerts the user if novel information is detected.
Because the system is able to handle synonyms, symbols, and many
names for any given entity, all mentions of a given entity, no matter what
the name, are tied back to the 'master entity' representation of that entity.
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Automated entity alerting: the user is alerted to the appearance of
novel information relating to any of the entities in any of their maps.
Alerting is available through email, RSS feeds and by viewing maps in
the system.
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One data model, multiple views: TripleMap provides multiple views of
the map data and each view allows for an alternative visualization of
the interconnection of entities in a map.
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Set sharing and searching: users are able to both share the maps that
they create with colleagues and easily search through all available
maps in order to identify colleagues who are currently working on
similar maps or have created and saved similar maps in the past.
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