Cognitive intelligence for PM10

The aim of this project is to develop a system for the support of the implementation on the EU regulations based on the PM10 open governmental data driven by integrated cognitive intelligence for PM10 dust hazards. Our research shows how important it is to adapt the EU directives by individual countries to the development of Smart Cities and the measurement of the PM10 open governmental data. The analysis of the current regulations/directives also indicates how many of those documents are of a recommendation character. The countries which do not follow such recommendation do not face any consequences for the lack of implementation of the above-mentioned regulations. On the other hand, however, too restrictive documents are too difficult to be implemented.

The examples of the EU regulations (as recommendations) are:

• the INSPIRE directive (Infrastructure for Spatial Information in Europe) which determines the infrastructure of spatial information in Europe. Its aim is to support environmental protection policies of the community and any policies or activities which may affect the environment,
• No. 96/62/WE of 27th September 1996 on the assessment and management of air quality,
• No. 1999/30/WE of 22nd April 1999 on the limit values of sulphur dioxide, nitrogen dioxide and nitrogen oxide, dust and lead in ambient air,
• No. 2000/69/WE of 16th November 2000 on the limit values of benzene and carbon monoxide in ambient air,
• No. 2002/3/WE of 12th February 2002 on ozone in ambient air,
• No. 2004/107/WE on arsenic, cadmium, mercury, nickel and polycyclic aromatic hydrocarbons (PAH) in ambient air.

The proposed project comes as a response to such needs. On the one hand, the project will enable us to collect the PM10 open governmental data from the EU countries. Using those data, we will be able to assess the usefulness of the EU documents for different EU countries. We will also be able to draw consequences for the lack of implementation of these documents.

We propose six phases for the implementation of the project (3 years):

• Phase I – involves the analysis of the governmental data based on the following strategies (4 months):
  • data philanthropy or donating data – providing data without restrictions to the members of the ecosystem, at no costs,
  • strategic leaking – where a private organization has a clear target to which business data are opened up.
• Phase II – involves the development of the model referring to the acquisition of governmental data which include (6 months):
  • data on monetization – that represent, in fact, a business model, where data are provided to a pre-defined audience against a cost,
  • commercial openness where data are provided against a fee to all the members of the business open data ecosystem.
• Phase III - involves the acquisition of the open governmental data on PM10 dust 10 Polish cities from over the past two years and forecasts. The aim of the research is to collect data for the learning and verification process for the PM10 predictive models (4 months).
• Phase IV is a syntactic analysis of the EU regulations for the EU countries to reduce the level of PM10, based on open governmental data. The aim of this research is to develop ontologies of the EU documents to assess their suitability for the EU countries (4 months).
• Phase V involves the open governmental data of PM10 extracts from other EU countries: Greece, Netherlands, Italy and Germany for the analysis of the PM10 levels and suitable EU regulations. Local Cases in those countries will be responsible for gathering the required data (8 months).
• Phase VI involves the construction of a decision-making support system for creating the EU regulations. It should consider the specificity of the levels and measurements of the open governmental data on PM10 in different countries (10 months).