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Global Drought Monitoring Service through the GEOSS Architecture ...

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Architectural Implementation Pilot, Phase 3 Version: 2.0<br />

<strong>Global</strong> <strong>Drought</strong> <strong>Monitoring</strong> and European <strong>Drought</strong><br />

Observatory-Water SBA Engineering Report<br />

Date: 11/Feb/2011<br />

network registry. Such a specialized drought vocabulary or a water ontology would link to<br />

drought indicators and drought and water datasets used in common with <strong>the</strong> European <strong>Drought</strong><br />

Observatory. The Simple Knowledge Organizing System (SKOS) had been used to express this<br />

GEMET data structure, so <strong>the</strong> water ontology, developed in AIP-3, would also be translated into<br />

SKOS data structures and linked to relevant terms in <strong>the</strong> reference <strong>the</strong>sauri as an AIP-4 activity.<br />

5.4.1 Water Ontology-enablement within <strong>the</strong> DAC Semantics<br />

One possible candidate as a foundation water ontology was <strong>the</strong> USA Consortium of<br />

Universities for <strong>the</strong> Advancement of Hydrologic Sciences (CUAHSI) water ontology, version 1.<br />

The CUAHSI water ontology does list water stores of surface and subsurface (soil) water,<br />

<strong>the</strong>reby meeting some of <strong>the</strong> requirements needed in a hydrologic drought indicator. Fugazza<br />

has converted <strong>the</strong> CUAHSI Ontology Web Language (OWL) into SKOS, as an AIP-3<br />

contribution (See AIP-3 Semantics Engineering Report).<br />

5.5 How <strong>the</strong> Euro<strong>GEOSS</strong> Discover Augmentation Component supports semantic<br />

searches<br />

To conclude, <strong>the</strong> Discovery Augmentation Component enables semantics-aware<br />

discovery by matching <strong>the</strong> search patterns entered by <strong>the</strong> end user against a collection of<br />

multilingual, SDI-related <strong>the</strong>sauri: <strong>the</strong>se are controlled vocabularies providing multiple textual<br />

representations for terms and organizing <strong>the</strong>m according to specificity and relatedness. As a<br />

consequence <strong>the</strong> user’s query is first related to a set of language-neutral identifiers (URIs) (like<br />

<strong>the</strong> URIs used for geographic spatial entities, noted above in section 5.2.1.2). These URIs<br />

represent entities in a concept graph that <strong>the</strong> user may navigate for identifying related terms that<br />

are relevant to her search. These data structures are hosted by <strong>the</strong> GENESIS Vocabulary <strong>Service</strong>.<br />

These <strong>the</strong>sauri are provided in <strong>the</strong> Simple Knowledge Organizing System (SKOS)<br />

format, a lightweight ontology for expressing knowledge organization systems (such as<br />

taxonomies, classification schemes etc.), and have been harmonized in <strong>the</strong> context of <strong>the</strong><br />

Euro<strong>GEOSS</strong> project by relating terms from distinct <strong>the</strong>sauri, thus allowing <strong>the</strong> user to move from<br />

one categorization to <strong>the</strong> o<strong>the</strong>r, i.e., one scientific discipline to ano<strong>the</strong>r within a GEO SBA or<br />

from one SBA (water) to ano<strong>the</strong>r SBA (agriculture). Once <strong>the</strong> user has identified an exhaustive<br />

set of terms that are relevant to her query, <strong>the</strong> broker translates <strong>the</strong> corresponding URIs back to a<br />

customizable set of languages and executes multiple queries against <strong>the</strong> catalogs it is federating<br />

(recalling <strong>the</strong> desired datasets).<br />

The Euro<strong>GEOSS</strong> Discovery Augmentation Component (DAC) implements a query<br />

expansion strategy deriving multiple traditional geospatial queries from a single semantic query.<br />

The DAC is able to accept a semantic query and, accessing a configurable set of external<br />

semantic services (e.g. controlled vocabularies, gazetteers, etc.), split it into several geospatial<br />

queries directed to a set of federated traditional/standard services for geospatial resources<br />

discovery. Results are finally combined in a meaningful way and sent back to <strong>the</strong> client.<br />

This framework realizes <strong>the</strong> Separation-of-Concerns pattern assigning specific tasks to<br />

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