Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Semantically Aggregating Marine Science Data
1. Adam Leadbetter & Roy Lowry
British Oceanographic Data Centre
alead@bodc.ac.uk & rkl@bodc.ac.uk
2. • A little history
• The EMODnet use case
• The NERC Vocabulary Server solution
• Conclusions
3.
4.
5.
6. • Semantic aggregation:
1. Deciding what the aggregated parameter is (and
what it is to be called)
2. Deciding which “Parameter Usage Vocabulary”
codes are to be included in the aggregated
parameter
3. Providing this information to the aggregation
software
4. Aggregating the data
7. • Two fold:
• Develop semantic aggregation work from
other projects
• Expose the underlying semantic model
beneath the “BODC Parameter Usage
Vocabulary (P01)”
8. • RDF/XML driver file always accessible from the
URL of the aggregation parameter
• Application software could either call the URL
in real time or cache the knowledge base
• Governance simply(!) supplies agreed
aggregation names and their mappings to P01
• BODC keeps governance informed of additions
to P01 so mappings can be kept up to date.
http://vocab.nerc.ac.uk/collection/P25/current/
11. Concentration of tributyltin cation
{tributylstannyl TBT+ CAS 36643-28-4}
per unit dry weight of biota {Mytilus
galloprovincialis (ITIS: 79456: WoRMS
140481) [Subcomponent: flesh]}
http://vocab.nerc.ac.uk/collection/P01/current/MMUSDTBT/
12. Concentration of tributyltin cation
{tributylstannyl TBT+ CAS 36643-28-4}
per unit dry weight of biota {Mytilus
galloprovincialis (ITIS: 79456: WoRMS
140481) [Subcomponent: flesh]}
18. • Easily integrated into software
• Ocean Data View
• SISSVoc
• Drupal
• Fits the Linked Data model
• Which we’ve been exploring with:
• Biological & Chemical Data Management Office
• Chandler et al. IN52B-05
• Rolling Deck to Repository
• Arko et al. IN53C-1574
http://odv.awi.de/
• and others
https://www.seegrid.csiro.au/wiki/Siss/SISSVoc
http://linked.bco-dmo.org/
http://linked.rvdata.us/
21. • NERC Vocabulary Server
• Existing NVS uses allow for semantic
aggregation of data
• But lacking ability to discover which concepts
can be marked up
• This will be achieved by exposing the
underlying semantic model
• Collaboration through Ocean Data Interoperability
Platform (ODIP)
• Glaves and Schaap IN53D-1598
• Compatible with CSIRO work (Cox et al., IN52B-08)
alead@bodc.ac.uk & rkl@bodc.ac.uk