Sound Data Mining (SDM)

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Type: 
Research and Development
Main researcher: 
no information
Abstract: 


Status: Concluded in March 2005

Financing: Agência de Inovação, POSI – Medida 1.3, “Investigação em Consórcio”

Partners: Ydreams - Ideias Interactivas, S.A.(promoter), Instituto Geográfico Português (IGP)
 Project Summary:


The SoundDataMining project allowed the simultaneous use for the first time of heterogeneous databases available on the web for purposes of “spatial data mining”. 

Objectives: 

The aims are:

  • To develop a modular platform with Data Mining tools in order to analyse the information available on dynamic geographical databases
  • To develop a case study in the area of air quality representing a concept test.

The SoundDataMining interface was designed from scratch to make it accessible to the common user through different platforms such as the WEB platform or mobile platforms. The joint use of visualisation and sonification tools constituted one of the system’s innovations.

Results: 

The SoundDataMining project developed the technology for the intelligent analysis of information and presentation of results (sonification and visualization techniques). The technology developed was applied to a case study in the area of air quality monitoring. The forecast of the air quality index was developed at one day’s distance (sulphur, ozone, particles and nitrogen). This forecast is made available to end users via mobile telephones. Through the “Location Based Services (LBS)” the user can receive the forecast for the nearest monitoring station.


Contact:
 Luís Teixeira lteixeira@porto.ucp.pt


Reference: 
Jorge Cardoso, José Carvalho, Luís Teixeira, Álvaro Barbosa, “SOUNDSERVER: DATA SONIFICATION ON-DEMAND FOR COMPUTATIONAL INSTANCES”, Proceedings of ICAD 04-Tenth Meeting of the International Conference on Auditory Display, Sydney, Australia, July 6-9, 2004

State: 
Finalized
Research group: 
Computer Music and Sound
Summary: 

The SoundDataMining project developed the technology for the intelligent analysis of information and presentation of results (sonification and visualization techniques). The technology developed was applied to a case study in the area of air quality monitoring. The forecast of the air quality index was developed at one day’s distance (sulphur, ozone, particles and nitrogen). This forecast is made available to end users via mobile telephones.
05/2014