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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 />

submits <strong>the</strong> queries to <strong>the</strong> Euro<strong>GEOSS</strong> Broker<br />

Use Case: Discovery: Client Search of Metadata<br />

Step 03.2: The Euro<strong>GEOSS</strong> Broker mediates <strong>the</strong> query request, distributing it to its federated<br />

services<br />

Step 03.3: The Decision maker uses <strong>the</strong> Decision Support System to select one or more drought<br />

hazard related information datasets, among <strong>the</strong> ones returned by <strong>the</strong> query<br />

Presentation of Reachable <strong>Service</strong>s and Alerts<br />

Step 03.4: The Decision Support Tool submits an access request to <strong>the</strong> Euro<strong>GEOSS</strong> Broker in<br />

order to retrieve <strong>the</strong> user-selected drought hazard information datasets<br />

Interact with <strong>Service</strong>s<br />

Step 04: Visualization and Assessment of Information<br />

Step 04.1: The Decision Support Tool displays <strong>the</strong> accessed drought hazard information datasets,<br />

combining <strong>the</strong>m with <strong>the</strong> potential hazard layer<br />

Step 04.2: The decision maker assesses <strong>the</strong> drought hazard impact<br />

5.2.1 Advanced Semantic Search<br />

Scenario Step 03 embodies <strong>the</strong> advanced semantics incorporated into <strong>the</strong> European<br />

<strong>Drought</strong> Implementation.<br />

Upon being notified of a drought alert in an area of interest, <strong>the</strong> decision maker (drought<br />

expert) can go online to consult <strong>the</strong> common Euro<strong>GEOSS</strong> broker-EDO interface. For example,<br />

<strong>the</strong> Euro<strong>GEOSS</strong> broker incorporates both: 1) Discovery Augmentation Component (DAC) and<br />

2) <strong>the</strong> workflow engine, which increases <strong>the</strong> power of search by integrating toge<strong>the</strong>r catalogue<br />

and semantic components. In o<strong>the</strong>r words, <strong>the</strong> workflow engine browses <strong>the</strong> semantic<br />

repositories to retrieve concepts. Once <strong>the</strong> expert drought user has identified a concept of<br />

interest, <strong>the</strong> resources (datasets and services) linked to each of <strong>the</strong>se concepts can be retrieved.<br />

5.2.1.1 Ontology Registration<br />

An ontology is a technology for organizing information which includes <strong>the</strong> organization<br />

of <strong>the</strong> information toge<strong>the</strong>r into relationships that are reminiscent of <strong>the</strong> class structure found in<br />

programming languages. The ontologies are stored within <strong>the</strong> Semantic Network within DIAS,<br />

which preserves this class structure.<br />

5.2.1.2 Geographic Registration<br />

As can be seen in Figure 11, two types of ontological information are developed and<br />

expanded: 1) lexicographic ontologies, i.e., ontologies of scientific disciplines and remote<br />

sensing; and 2) geographic ontologies, as represented by gazetteers. A gazetteer is defined as a<br />

reference for information about places and place names used in conjunction with an atlas (hill et<br />

Page 54

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