Sensor A sensor is an implemented map from physical stimuli into a symbol system.

Example: Step counter for joggers, blood pressure sensor

Geosensor A geosensor is an implemented map from a physical stimulus into a system of georeferenced symbols.

Example: air temperature sensor, acid rain level sensor, human counting dengue eggs in bucket

Sensor System A sensor system is either an aggregation or a composition of sensors, which can behave like a sensor.

Example: system for monitoring blood pressure and heart frequency

Geosensor System A geosensor system is a sensor system containing at least one geosensor. A geosensor system like a single geosensor.

Example: weather station

Sensor Network A sensor network is a spatially distributed and connected network of sensors.

Example: Company wants to know how many of their vehicles are moving at any point in time.

Geosensor Network A geosensor network is a sensor network whose nodes are geosensors.

Example: Wireless Sensor Network for monitoring air pollution at selected locations

Sensor Web “A Sensor Web refers to web accessible sensor networks and archived sensor data that can be discovered and accessed using standard protocols and application program interfaces (APIs).” (Botts et al. 2007)

Example: Weather Forecasting Sensor Web

Observation an act of observing a property or phenomenon, with the goal of producing an estimate of the value of the property. A specialized event whose result is a data value.

Measurement an observation whose result is a measure

2nd paper title: Sensors as Abstract Interfaces Discussion paper for W3C incubator group on geosensors and for OGC Goal: simplify the sensor web architectures Link to document

Our Proposal:

Framework which allows to pick sensors, tools, statistical methods, standards, and models to support decisions and understanding in geospatial applications at multiple scales. Practical outcome: cookbook.

Ph.D. and master theses proposals:

1. Master

Application of the algebraic view on sensors to the dengue fever (aedes aegypti eggs) use case, this is at the same time our mobility measure: ifgi –> inpe.

2. Master

Development of suitable tools for different sensor abstraction levels. mobility measure: inpe –> ifgi.

3. Ph.D.

Ontology (SWRL) of processes and data sources for retrieval and composition in the framework (see proposal)

4. Ph.D.

Statistical methods for the conversion between the different abstraction levels of the framework (see proposal).

5. Master

At which abstraction level do we need to introduce objects? can we avoid them?

Script for presentation 1. Introduction:

-survey of current definitions –> scale dependency is not handled well

2. Definitions:

-basic idea: algebraic specification of sensors

3. Proposal

4. Paper Abstract of first paper

5. Paper title for second paper

6. Thesis proposals and mobility measures