Smart Data for Smart Meters - Presentation at Pilod2 Meeting 2013-11-13


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On 2013-11-13 I gave a presentation on the use of the energy labels dataset of the Dutch Ministry of Economic Affairs. I first turned their XML dataset into 5-star LOD (by linking it to the BAG) and then created a Web application that runs on top of it.

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Smart Data for Smart Meters - Presentation at Pilod2 Meeting 2013-11-13

  1. 1. Smart data for smart meters Wouter Beek
  2. 2. Context • • • • Energy label / Energy Performance of Buildings Directive (EPBD) Possible values: A - G Measurements are valid for 10 years. Requirement when buying or renting a house.
  3. 3. EnergyLabels dataset in numbers • 2,354,560 entries • Energy index • Electricity consumption • Gas consumption • License: Creative Commons 0 • Dissemination date: 2012-11-05 • Updated on a daily basis • Issued by: Energielabels Agentschap NL • Related dataset?: Liander Open Data, approx. 1,250,000 entries.
  4. 4. Linked Open Data • • • • • Connect to existing datasets. Connect to services. Run queries across datasets. Perform inference across datasets. Easy to create mash-ups / new applications. cheap to do all of this, only then will Linked Data be an enabler for large-scale innovation. If it is (disclaimer: this is a subjective claim)
  5. 5. RDF files Domain-independent data conversions fully automated Relational DB Domain-dependent data conversions domain knowledge needed domain knowledge Simple RDF Link to external sources (linksets) domain knowledge needed XML files depends on structure domain knowledge Fixing bad data origin inconsistencies & inaccuracies Text files ambiguous Connect to services (e.g. query interface, maps) high level of reuse
  6. 6. Technological contribution • From 3-star (published, open format) to 5-star (Linked Data, URI identifiers, linked to BAG). • Stored in 2.6 GB XML document containing one (1!) line :-) • DOM is too big to hold in RAM. • Convert to multi-line XML document. • XML2RDF conversion infrastructure: • Create a resource using primary/rigid properties. • Create triples for a resource
  7. 7. Application based on 5-star dataset
  8. 8. Using Linked Data (Wouter’s Inbox) Dear Wouter, we gave the students of our Semantic Web class the link to the Kadaster information, and made them enthusiastic to use it. As a result several now have build their apps around this data. But now it has been offline for several days. Cheers, Stefan.
  9. 9. Main difficulties (1/3) Technical difficulties due to arbitrary data formatting. • Publishing data in a sane way decreases the conversion costs considerably. • In this use case: half of all the effort went into the 1 line XML...
  10. 10. Main difficulties (2/3) Institutional difficulties: • Data publication is a short-duration visible event. • Data maintenance is a long-duration invisible event.
  11. 11. “You can fool all the people some of the time, and some of the people all the time, but you cannot fool all the people all the time.” Abraham Lincoln Let's make some substitutions here... “All LOD datasets are offline some of the time, and some of the LOD datasets are offline all of the time, but not all LOD datasets are offline all of the time.” Wouter Beek
  12. 12. Main difficulties (3/3) Infrastructural difficulties: • Assuming that some LOD data is online some of the time, we must explicitly represent the network of interconnected LOD datasets, institutions, and maintainers (DC, FOAF, VoID). • Anticipating malfunctioning datasets should be a standard part of the development API.
  13. 13. Conclusion Only when the technical, institutional, and infrastructural problems are solved will Linked Data become an enabler for large-scale innovation.