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Semantic Web for Energy
Malcolm Murray
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.
Semantic Web Layers
Existing WWW
Technology
Mature Sem
Web
Technology
In Development /
Research
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>
Ontology Example
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")
}
SPARQL Example
Linked Open Data
Example Applications
Google investing
in the Sem Web
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.
• 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
SWEEP
SWEEP
SWEEP
• 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
• 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
SUSPLAN Data Input
SUSPLAN Server
SUSPLAN Client
SUSPLAN Client
SUSPLAN Client
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.
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!!!
Thanks For Listening!
Any Questions?

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Semantic Web For Energy [Malcolm Murray]

  • 1. Semantic Web for Energy Malcolm Murray
  • 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. Semantic Web Layers Existing WWW Technology Mature Sem Web Technology In Development / Research
  • 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>
  • 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") }
  • 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. • 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. SWEEP
  • 13. SWEEP
  • 14. SWEEP
  • 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. • 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
  • 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. 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!!!