ISSUE-43: Add treatment of sampling features in ssn

SamplingFeatures

Add treatment of sampling features in ssn

State:

CLOSED

Product:

Semantic Sensor Network Ontology

Raised by:

Simon Cox

Opened on:

2016-05-17

Description:

Sampling is intrinsic to most observation activities, since it is often impossible to exhaustively observe the feature of interest because of its extent or accessibility. A sample is designed to be representative of the ultimate feature of interest. Some sampling strategies are common across disciplines, particularly in the environmental sciences where routine sampling strategies include the use of sample points (stations, sites, pixels), curves (transects, boreholes, flight-lines, ship-tracks, trajectories), surfaces (cross-sections, images, scenes and swaths, quadrats, map-horizons) as well as specimens - where a representative individual or piece of material is taken from the field and moved to a laboratory for further observation. Sampling features are often directly related to other sampling features (samples collected along a ships-track, pixels in a scene, stations on a transect). A key property of a sampling-feature is that it was designed to sample a domain-feature, though the sampling feature may not provide direct access to the properties of the ultimate feature of interest (e.g. pixels in a scene provide spectral information, which may relate to land-cover in a tract). These relationships follow common patterns across a range of applications and disciplines, so a common model can be constructed.

A lightweight ontology for sampling features is provided at http://def.seegrid.csiro.au/ontology/om/sam-lite

Related Actions Items:

No related actions

Related emails:

1. [Minutes-SSN] 2016-05-17 (was Re: [Minutes] 2016-05-17) (from phila@w3.org on 2016-05-18)
2. [Minutes] 2016-05-17 (from phila@w3.org on 2016-05-17)

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