- From: Simon Cox <simon.cox@jrc.ec.europa.eu>
- Date: Wed, 13 Jan 2010 21:40:21 +0100
- To: <public-xg-ssn@w3.org>
- Message-ID: <A0237B18BB8F4B7783529373C7F108C7@MANTA>
This week I sent the 'Final Committee Draft' of ISO 19156 (Observations and Measurements version 2) to the ISO/TC 211 secretariat. If all goes smoothly (and there is no reason to expect that it won't) this will be accepted as the text of a 'Draft International Standard' published by ISO from Geneva (i.e. a publicly available document, not just internal to TC 211). The UML for the O&M v2 model is in the ISO harmonized model, which is available in XMI (suitable for use in Sparx Enterprise Architect) from the SVN mirror at CSIRO, as described in the HollowWorld wiki page https://www.seegrid.csiro.au/twiki/bin/view/AppSchemas/ConfiguringUMLToolFor HollowWorld As is standard for ISO documents, clause 4 contains 'Terms and definitions', which consolidates terms borrowed from other ISO documents, as well as terms defined in the present document. Here is the content of that clause: 1 Terms and definitions For the purposes of this document, the following terms and definitions apply. 4.1 application schema conceptual schema for data required by one or more applications [ISO 19101:2002, definition 4.2] 4.2 coverage feature that acts as a function to return values from its range for any direct position within its spatial, temporal or spatiotemporal domain [ISO 19123:2005, definition 4.17] 4.3 data type specification of a value domain with operations allowed on values in this domain [ISO/TS 19103:2005, definition 4.1.5] EXAMPLE Integer, Real, Boolean, String, Date (conversion of a date into a series of codes). NOTE Data types include primitive predefined types and user-definable types. All instances of a data types lack identity. 4.4 domain feature feature of a type defined within a particular application domain NOTE This may be contrasted with observations and sampling features, which are features of types defined for cross-domain purposes. 4.5 feature abstraction of real-world phenomena [ISO 19101:2002, definition 4.11] NOTE A feature may occur as a type or an instance. Feature type or feature instance should be used when only one is meant. 4.6 feature type class of features having common characteristics 4.7 measurand particular quantity subject to measurement [ISO/TS 19138:2006, definition 4.5] NOTE Specialization of observable property-type. 4.8 measure value described using a numeric amount with a scale or using a scalar reference system [ISO 19136:2007, definition 4.1.41] 4.9 measurement set of operations having the object of determining the value of a quantity [ISO/TS 19101-2:2008, definition 4.20] 4.10 observation act of observing a property NOTE The goal of an observation may be to measure or otherwise determine the value of a property 4.11 observation procedure method, algorithm or instrument, or system of these which may be used in making an observation 4.12 observation protocol combination of a sampling strategy and an observation procedure used in making an observation 4.13 observation result estimate of the value of a property determined through a known procedure 4.14 property <General Feature Model> facet or attribute of an object referenced by a name EXAMPLE Abby's car has the colour red, where "colour red" is a property of the car instance 4.15 property-type characteristic of a feature type EXAMPLE cars (a feature-type) all have a characteristic colour, where "colour" is a property-type NOTE 1 The value for an instance of a property-type may be estimated through an act of observation NOTE 2 In chemistry-related applications, the term 'determinand' or 'analyte' is often used. [Adapted from ISO 19109:2005] 4.16 sampling feature feature, such as a station, transect, section or specimen, which is involved in making observations concerning a domain feature NOTE A sampling feature is purely an artefact of the observational strategy, and has no significance independent of the observational campaign. 4.17 value element of a type domain [ISO/IEC 19501:2005] NOTE 1 A value may consider a possible state of an object within a class or type (domain). NOTE 2 A data value is an instance of a data type, a value without identity. NOTE 3 A value may use one of a variety of scales including nominal, ordinal, ratio and interval, spatial and temporal. Primitive datatypes may be combined to form aggregate datatypes with aggregate values, including vectors, tensors and images
Received on Wednesday, 13 January 2010 20:41:10 UTC