Data:Geomaterials Vocab
Geomaterials Vocab dataset information page
Short Description
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| Simple visualization of part of the vocab |
Statement: A Structured Vocabulary for Geomaterials
Abstract:
(In roll-out stage March 2014)
Introduction
Word-based data are pervasive in the geosciences, even in the field of numerical modeling. Parameters, materials, processes, events are all identified linguistically and accompanying their namings is a semantic that involves causality, arrangement, units, agents, etc. The CSDMS Standard Names (http://csdms.colorado.edu/wiki/CSDMS_Standard_Names) documents parameter naming syntaxes in the context of numerical modeling for earth surface dynamics.
The Vocabulary
As a contribution to earth surface modeling and data handling, a comprehensive vocabulary of earth materials is presented here. It is not presented as an ontology, but as a semantic net - to allow for more complex and quantitative relationships. Geomaterials include soils, sediments, rocks, biogenic buildups, ice and snow, and man-moved and man-made materials. A paper on the vocabulary is being finalized.
Building the Vocabulary
The vocabulary is computed from a corpus of glossaries, dictionaries, thesauri, ontologies, classifications. It was necessary to compute it because of the great number of geomaterials terms now available – estimated to be 10^4. Manual efforts to create a structured vocabulary through ontologies have encompassed only ~300 terms with rudimentary relationships in several years of work (Geosciml 2012). By computing the vocabulary, quantitative linguistic measures of concept distance and scope can also be made.
The corpora used here were sourced from authoritative institutions such as British Geological Survey, US National Aeronautical and Space Agency (NASA), US Geological Survey (USGS), Society for Sedimentary Geology, CSIRO Australia, US Federal Geographic Data Committee, Center for Deep Earth Exploration (CDEX) in Japan, World Meteorological Organization (WMO), and the American Geological Institute (AGI). At last count there were 962 nodes (concepts) being served, and 1126 'strong words' from processing these corpora.
Components
i. A table of geomaterials concepts with their names, definitions, relationships, metrics and metadata. ii. Tables of ‘strong words’ and weak words (a ‘stop list’) that are used to describe geomaterials concepts. The strong words are accompanied by frequency metrics and the sets of words which they associate with. Strongwords are those that occur in the names of geomaterials concepts and are not in the weak-words list. iii. (TBA) A formal ontology of subsumption relations (i.e., related, synonym, broader, narrower) expressed using OWL, SKOS and RDF logic systems in XML syntax. iv. (TBA) A semantic net of subsumption relations, and also quantitative strengths on the links between them.
Use cases
The vocabulary components provide a large resource which are needed for downstream software applications such as query mediation, semantic crosswalk, disambiguation, databasing.
(i) A query can be launched using a set of terms (e.g., “feldspar-bearing sediments with glauconite”). The query is using local vocabulary and could alternatively we written “feldspathic sediments with verdine”. A ‘smart search’ (‘concept search’) drawing on a semantic net resource is able to search for both expressions – and also narrower ones such as “glauconitic albitic sands”. This is ‘query mediation’ and ‘query extension’. (ii) Crosswalks relate and compare two concepts. How close are they, do they subsume, what are their neighbours ? (iii) Disambiguation is a similar concept: given a homonym like “caterpillar”, animal and tractor can be distinguished by their typical word-associates in the text, with the patterns defined in a structured vocabulary like that served here.
Data format
| Data type: | Substrates |
| Data origin: | Measured |
| Data format: | ASCII |
| Other format: | |
| Data resolution: | All |
| Datum: | All |
Data Coverage
Spatial data coverage: All
Temporal data coverage: Time series
Time period covered: All
Availability
Download data: http://instaar.colorado.edu/~jenkinsc/dbseabed/resources/geomaterials/GeomaterialsVocab.zip
Data source: http://instaar.colorado.edu/~jenkinsc/dbseabed/resources/geomaterials/GeomaterialsVocab.zip
