Quality of Volunteered Geographic Information
Masters / diploma thesis topic: One of the major challenges of Volunteered Geographic Information (VGI) is information quality. This problem is more pressing when trying to integrate humans as sensors into the sensor web. This thesis work will develop a simulation of a computational spatio-temporal model of trust and reputation as a quality assessment measure of VGI in the sensor web. Within MUSIL we have developed computational trust and reputation models for VGI and we have also developed a functional ontology of observations and measurement. The ontology formalizes the observation and measurement aspects of the sensor web. It is also further extended to define trust and reputation as measures of quality of human observations as well as computational models of trust and reputation as sensory assets, inline with the Observation and Measurement Specification (O&M) of the Open Geospatial Consortium (OGC). The following is provided to the interested student: Your main task in the thesis is: To further extend the Haskell ontology with more functionality by implementing the computational model in Haskell code. This will result in a working ontology/simulation that is a proof of concept for integration of human sensors and the computational model into the sensor web for quality assessment of human sensor observations.
