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Linked Data:
An Oceanographic Perspective
Adam Leadbetter, Robert Arko,
Cyndy Chandler and Roy Lowry
A Web of Documents
• The familiar World Wide Web
A Web Of Documents
URI
URI “resolves” to something meaningful i.e.– a web page In a standard format - HTML
Links to other URIs
A Web of Data
“If HTML and the World Wide Web made all the
online documents look like one huge book,
[Linked Data] will make all the data in the
world look like one huge database.””
Sir Tim Berners-Lee
W3C
Weaving the Web (1999)
http://www.w3.org/DesignIssues/LinkedData.html
Linked Data: Principles
• Use URIs to name / identify “things”
– http://linked.rvdata.us/resource/device/100013
• Do something useful with them
– Resolve the URIs when navigating to them
• Supply them in a standard format
– RDF
• <subject><predicate><object>
• <Ocean><has-colour><Blue>
• Link to other information objects
– http://vocab.nerc.ac.uk/collection/L05/current/133/
5* Linked Data
http://5stardata.info/
Querying Linked Data
• SPARQL
5* Linked Data Examples
• NERC Vocabulary Server
– http://vocab.nerc.ac.uk
– Contains vocabulary terms for (meta)data markup
• SeaDataNEt, EMODnet, Geo-Seas, CF,...
– Uses the simplest RDF patterns
– “Glue” in our Linked Data Network
5* Linked Data Examples
• NERC Vocabulary Server
• Rolling Deck-to-Repository (R2R)
– http://linked.rvdata.us
– Contains information on all research cruises in R2R
– Links to NVS on device
5* Linked Data Examples
• NERC Vocabulary Server
• Rolling Deck-to-Repository (R2R)
• BCO-DMO
– http://linked.bco-dmo.org
– Programmes, projects, deployments, datasets,
instruments, parameters, people...
– Uses NVS terms / concepts as instances in the
Ocean Data Ontology
An “ocean” of Linked Data
https://github.com/adamml/LinkedOceanDataCloud
What can we do with Linked Data?
http://adamml.github.io/nvs-sparql/
What can we do with Linked Data?
http://adamml.github.io/nvs-sparql/
What can we do with Linked Data?
http://adamml.github.io/nvs-sparql/
What might we do with Linked Data?
• Potential to answer cross-disciplinary questions
– Track a pollutant from source-to-sea
• Requires common vocabularies for
– Geographic location
– Chemical
– Work being developed by BODC & CEH in the UK
• Using
– Ordnance Survey Linked Data
– CAS numbers
• Or connect data with broadcast programming
– BBC website is entirely Linked Data driven...
What might we do with Linked Data?
Benefits of Linked Data
• Loose integration
– Data presented not in standardised systems
– Common link in chain is NVS
• But a common link is required somewhere in (meta)data
– “Small pieces, loosely joined”
• Federated querying
– Common access point to query multiple nodes
– No mirroring / caching required
• Allows standard tools to be deployed
Benefits of Linked Data
Thank you
• http://vocab.nerc.ac.uk
• http://linked.rvdata.us
• http://linked.bco-dmo.org
• https://github.com/adamml/LinkedOceanDataCloud
• Journal of Ocean Technology 8(3) – Sept 2013
– alead@bodc.ac.uk arko@ldeo.columbia.edu
– cchandler@whoi.edu rkl@bodc.ac.uk

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IMDIS 2013 - Linked Data: An Oceanographic Perspective

  • 1. Linked Data: An Oceanographic Perspective Adam Leadbetter, Robert Arko, Cyndy Chandler and Roy Lowry
  • 2. A Web of Documents • The familiar World Wide Web
  • 3. A Web Of Documents URI URI “resolves” to something meaningful i.e.– a web page In a standard format - HTML Links to other URIs
  • 4. A Web of Data “If HTML and the World Wide Web made all the online documents look like one huge book, [Linked Data] will make all the data in the world look like one huge database.”” Sir Tim Berners-Lee W3C Weaving the Web (1999) http://www.w3.org/DesignIssues/LinkedData.html
  • 5. Linked Data: Principles • Use URIs to name / identify “things” – http://linked.rvdata.us/resource/device/100013 • Do something useful with them – Resolve the URIs when navigating to them • Supply them in a standard format – RDF • <subject><predicate><object> • <Ocean><has-colour><Blue> • Link to other information objects – http://vocab.nerc.ac.uk/collection/L05/current/133/
  • 8. 5* Linked Data Examples • NERC Vocabulary Server – http://vocab.nerc.ac.uk – Contains vocabulary terms for (meta)data markup • SeaDataNEt, EMODnet, Geo-Seas, CF,... – Uses the simplest RDF patterns – “Glue” in our Linked Data Network
  • 9. 5* Linked Data Examples • NERC Vocabulary Server • Rolling Deck-to-Repository (R2R) – http://linked.rvdata.us – Contains information on all research cruises in R2R – Links to NVS on device
  • 10. 5* Linked Data Examples • NERC Vocabulary Server • Rolling Deck-to-Repository (R2R) • BCO-DMO – http://linked.bco-dmo.org – Programmes, projects, deployments, datasets, instruments, parameters, people... – Uses NVS terms / concepts as instances in the Ocean Data Ontology
  • 11. An “ocean” of Linked Data https://github.com/adamml/LinkedOceanDataCloud
  • 12. What can we do with Linked Data? http://adamml.github.io/nvs-sparql/
  • 13. What can we do with Linked Data? http://adamml.github.io/nvs-sparql/
  • 14. What can we do with Linked Data? http://adamml.github.io/nvs-sparql/
  • 15. What might we do with Linked Data? • Potential to answer cross-disciplinary questions – Track a pollutant from source-to-sea • Requires common vocabularies for – Geographic location – Chemical – Work being developed by BODC & CEH in the UK • Using – Ordnance Survey Linked Data – CAS numbers • Or connect data with broadcast programming – BBC website is entirely Linked Data driven...
  • 16. What might we do with Linked Data?
  • 17. Benefits of Linked Data • Loose integration – Data presented not in standardised systems – Common link in chain is NVS • But a common link is required somewhere in (meta)data – “Small pieces, loosely joined” • Federated querying – Common access point to query multiple nodes – No mirroring / caching required • Allows standard tools to be deployed
  • 19. Thank you • http://vocab.nerc.ac.uk • http://linked.rvdata.us • http://linked.bco-dmo.org • https://github.com/adamml/LinkedOceanDataCloud • Journal of Ocean Technology 8(3) – Sept 2013 – alead@bodc.ac.uk arko@ldeo.columbia.edu – cchandler@whoi.edu rkl@bodc.ac.uk

Notes de l'éditeur

  1. Thanks to Bob, Cyndy and Roy (&amp; Adam Shepherd @ WHOI)Acknowledge Simon Cox (CSIRO) &amp; ODIP (more about that in next talk – Helen Glaves) discussion inspiring the talkLinked Data – BBC News Lab, data.gov / data.gov.uk (&amp; UK Government), Environment Agency, CSIRO, BoM, EsriGive an overview of the important technology &amp; its impactThis afternoon we’ll hear about a specific application of the technology from Jonathan Hodge and Nicholas Car (CSIRO)
  2. The familiar web is like a big book.The closest think to an index is something like Google.
  3. Borrowed from Andrew WoolfParts of a web pageWe’ll see this structure reflected in what is to come
  4. Sea-Bird SBE-21 thermosalinograph on Atlantic ExplorerL05 – ThermoslainographsWith links to L22 – thermolsalinograph modelsL21 – SeaDataNet device category typesL19 – SeaDataNet KeywordsP25 – On the fly processing aggregation terms
  5. Explain each * and the logos that have been addedCSV can equally be ODV, NetCDF or the likeSeaDataNet becomes 3*, and 4* - No RDF (except the Vocab Server) so it’s not quite 5*We’ll come back to our own version of the top level example before
  6. Standard Query language for RDF
  7. Big user baseStats = ~80,000 termsRDF patterns = SKOS Reduces number of “classes” – so complexity is minimal
  8. Presented later (Suzanne Carbotte?)Cruise information = instruments, Bob – any more NVS links? Platform etc?
  9. Cyndy – any publication of ODO imminent? Is it available on MMI (for instance) for people to look at?
  10. R2R Instruments – named from the NVS i.e. Understandable in SeaDataNet etc...
  11. BCO-DMO parameters – named from the NVS i.e. Understandable in SeaDataNet etc...
  12. Get the R2R instruments that might be of interest to BCO-DMO – as they are instruments already in the BCO-DMO data holdings.Federation of the query from NVS to BCO-DMO and R2R endpoints.Knowledge pulled from three sources into one result.
  13. John Wilbanks @ RDA Plenary: “It’s not about net present worth; it’s about net potential value.”CAS number – Chemical Abstracts Service. A unique, persistent ID for every chemical described in the open scientific literature.
  14. Wouldn’t it be nice?
  15. I think it’s key to point out the common link in the chain – and the “cost” of adding that...“Small pieces, loosely joined” – David Weinberger, 2002 (subtitle, A Unified Theory of the Web)Federation is one of the topics of this session (see proceedings)Therefore important to point out.Federation of querying is supported from SPARQL 1.1 endpointsCan federate on to SPARQL 1.0 endpoints (e.g. NVS -&gt; R2R)Tools – e.g. SISSVoc (if I can get a screen grab) and Adam’s Drupal interface (again I need a screen grab)
  16. Tools – e.g. SISSVoc (if I can get a screen grab) and Adam’s Drupal interface (again I need a screen grab)
  17. Links to play with &amp; our e-mail addresses to contact us if you have any questions.We’d like to see more people get involved in this field to expand the kinds of questions we can answer with the technology