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Showing results for: [ Markup Languages ]
A set of machine readable resources that are part of the output of a project undertaken for the Commonwealth Department of Environment, under the Essential Environmental Measures program. These repres... moreent an information model for vegetation sites data, comprising
- a UML model in a .EAP file (database for use with Sparx Systems Enterprise Architect)
- an OWL Ontology implementation
- RDF files (TTL format) of some example data
- XML files of the same example dataless
LWF-Water Resource Management-Consultanc - Information model for vegetation sites data - Published 28 Jul 2016
SISSVoc is a Linked Data API for accessing published vocabularies. SISSVoc provides a RESTful interface via a set of URI patterns that are aligned with SKOS. These provide a standard web interface for... more any vocabulary which uses SKOS classes and properties.
SISSVoc provides web pages for human-readable views, and machine-readable resources for client applications (in RDF, JSON, and XML). SISSVoc is implemented using a Linked Data API façade over a SPARQL endpoint. This approach streamlines the configuration of content negotiation, styling, query construction and dispatching.less
Auscope Grid SISS CLOSED - SISSVoc - Published 31 May 2016
The Water and Energy Supply and Consumption (WESC) data standard has been developed by CSIRO to support a common represention of data for supply and consumption of water and energy and its delivery vi... morea standardised OGC services.
The information model allows for data to be delivered in a consistent format and is the basis for the exchange format (XML schemas) for encoding datasets.less
AURIN Lens 6/2 - WESC Information modelling - Published 31 May 2016
This package contains the libraries, code, and schemas for WaterML 2.0 validation service based on the architecture of the Water Data Transfer Format (WDTF) validation service (Yu et al. 2011).
It ex... moretends the validation-svc-base framework for a two pass XML validation service (see https://github.com/CSIRO-enviro-informatics/validation-svc-base). First pass XSD validation and second pass Schematron validation. Specific extensions are
to the Java validation code for WaterML2.0 validation.
The set of XML Schemas and Schematron rules can be found here:
WIRADA 1.4 Water Data Transfer Standards - Water data standards and supporting tools - Published 31 May 2016
The Data Provider Node ontology has been developed by CSIRO for describing data provider nodes, web services available and datasets that are hosted by them. This ontology features a module for describ... moreing Datasets and Services. It does not however describe geospatial, temporal, organisational or domain concepts as these are intended to be included from other ontologies via the imports statement. Other modules complementary to the DPN ontology are http://purl.org/dpn/dataset and http://purl.org/dpn/services. This version aligns DCAT and DC terms and imports DPN services.less
eReefs - Science of GBR - Ontologies - Published 29 Apr 2016
OWL ontologies for observations and for sampling features.
OWL idiom implementations of the information models presented in ISO 19156:2011.
As described in Semantic Web Journal
WIRADA II 1.14 Data Services - Spatial Data on the Web - Published 26 Apr 2016
Ontologies that extend the W3C standard OWL-Time to support applications that do not use the Gregorian calendar
Vocabularies for describing properties relating to water and energy supply and consumption expressed using Simple Knowledge Organisation Language (SKOS) and RDF. This set of vocabularies include land ... moreuse definitions, commodities, notions of supply and consumption for water and energy (gas and electricity). The SKOS/RDF representation of these vocabularies have been produced by CSIRO and is currently managed and updated by CSIRO. Content has been taken from the urban research group within CSIRO as well as the Australian Valuation Property Classification Codes work (http://www.dtpli.vic.gov.au/property-and-land-titles/valuation/council-valuations/revaluation-2014). This set of vocabulary definitions form supporting components for the WESC data standard (http://wescml.org).less
AURIN Lens 6/2 - WESC Vocabularies - Published 27 Apr 2016
The need to tag digital objects in various repositories such as datasets or scientific papers to allow for thematic classification is a well-known problem. In some cases a free tagging approach is use... mored where contributors can add any keywords they desire while in other cases, selection from a controlled vocabulary is mandated. To enable repository managers to allow both free tagging and the use of controlled vocabularies, we have created the Keyword Aggregator (KWA) system, key aspects of which are outlined next. A web service that: provides fast search access to vocabulary content; stores multiple, controlled, vocabularies of terms; permits the addition of new keywords. An example widget that makes use of the web service and can be embedded in a web page. Use of a relational database that captures keyword use statistics. A management methodology that: allows particular vocabularies to be selected for use on a per-widget instance basis; allows vocabulary updating through storage in versioned repositories; stores vocabularies with vocabulary-level metadata enabling vocabulary discovery; permits one vocabulary to link to a single term in another vocabulary (allows a 'vocabulary-of-vocabularies'). The focus of KWA is on the creation of a flexible keyword aggregation, management and search system for science keywords, however vocabularies of any kind could, in principle, be handled by this system. This release allows KWA to be run under Python 2 or 3 and more importantly, adds containerisation support via Docker to simplify deployment. In addition, graph loading scripts were added and various internal improvements and bug fixes were made. See the README.pdf supporting attachment for more detail.less
eReefs - Science of GBR - Semantic Tools - Published 19 Jan 2018
A set of files containing RDF representations of the International [Chrono]stratigraphic Chart, including RDF/XML and Turtle serializations of data from the versions published in 2004, 2005, 2006, 200... more8, 2009, 2010, 2012, 2013, 2014
To accompany publication of paper
"A geologic timescale ontology and service" by SJD Cox and SM Richard
Submitted to Earth Science Informaticsless
Legacy data - AuScope - Published 15 May 2014