Semantic Web For Energy [Malcolm Murray]

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Semantic Web For Energy [Malcolm Murray]

  1. 1. Semantic Web for Energy Malcolm Murray
  2. 2. The Semantic Web • Basically an evolution of the World Wide Web. • Concept introduced by Tim Berners Lee in 1999. • Extends the scope of the World Wide Web to manage data.
  3. 3. Semantic Web Layers Existing WWW Technology Mature Sem Web Technology In Development / Research
  4. 4. RDF • The Unifying Language of the Semantic Web. • Based on XML. • Consists of Triples – <Subject> <Predicate> <Object> – <http://greenspaceresearch.co.uk/Greenspace> hasLab <http://greenspaceresearch.co.uk/EVSL>
  5. 5. Ontology Example
  6. 6. SPARQL … PREFIX dbont: <http://dbpedia.org/ontology#> SELECT * WHERE { ?country a <http://dbpedia.org/ontology/Country>; rdfs:label "United Kingdom"@en. OPTIONAL {?country <http://dbpedia.org/ontology/abstract> ?abstract.}. OPTIONAL {?country dbpedia2:capital ?capital.}. OPTIONAL {?country dbpedia2:currencyCode ?currency.}. OPTIONAL {?country dbpedia2:populationEstimate ?popest.}. OPTIONAL {?country dbpedia2:gdpNominalPerCapita ?gdpnominal.}. OPTIONAL {?country dbpedia2:regionalLanguages ?regional_language.}. FILTER (lang(?abstract) = "en") }
  7. 7. SPARQL Example
  8. 8. Linked Open Data
  9. 9. Example Applications Google investing in the Sem Web
  10. 10. Relevance to Energy and Built Environment • Semantic Web Efforts seem to focus round select domains. • Energy and built environment not really one of those areas. • But does have a large amount of information that could be better managed.
  11. 11. • Semantic Web based platform representing building and energy related information. • Currently a proof of concept developed by Greenspace Research. • gbXML based ontology along with others. • New way of organising building information. SWEEP
  12. 12. SWEEP
  13. 13. SWEEP
  14. 14. SWEEP
  15. 15. • Future developments will include integration with more data sources. • Will bring energy supply and demand together. • Import weather data. • Interface with sensors and controllers. SWEEP
  16. 16. • Regional and Trans National case studies generating large amounts of data. • This data needs to be disseminated to stakeholders etc. • Semantic Web Solution may be useful for this. • Prototype currently in development. SUSPLAN Knowledge Base
  17. 17. SUSPLAN Data Input
  18. 18. SUSPLAN Server
  19. 19. SUSPLAN Client
  20. 20. SUSPLAN Client
  21. 21. SUSPLAN Client
  22. 22. Summary • The Semantic Web is potentially very powerful in the energy domain. • But needs to be accessible – usability is important. • Crowd sourcing is the only feasible way to populate databases on a large scale.
  23. 23. Summary • Security is a major issue for some datasets – particularly building related. • Semantic Web work is ongoing, has exciting potential, but requires a lot more work. • Semantic Web developments really kicking off now – next couple of years will be interesting!!!
  24. 24. Thanks For Listening! Any Questions?

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