Difference between revisions of "Semantic cluster guidelines"

Revision as of 15:05, 13 March 2013

This section enumerates the data aimed to be provided by IRD and FAO. Some examples are given.

Ecoscope [1] is an ontology and related knowledge base. Ecoscope aims to describe the domain of Ecosystem Approach to Fisheries, including scientific studies with related agents and information resources.
Flod [2]...

So far, we suggest to access the content of knowldege base in two different ways:

SPARQL enpoints to query the whole content of knowledge bases directly with SPARQL queries:
- Example of Ecoscope SPARQL endpoint [3]
- Example of FLOD SPARQL endpoint [4]
OpenSearch which is more restricted to information resources through generic OpenSearch URL and data formats (HTML, RSS, RDF extension [5])

The following gives end products aimed to be delivered to the users by combining previous data and services:

Tuna atlas: Tuna fisheries data will be made handled through Web Services: accessible through standard protocols (e.g. WFSWeb Feature Service) and formats, and processed with WPS to generate indicators. The goal will be to have a Common Tuna Atlas, replicating two different tuna atlas available online:
- IRD Tuna Atlas
- FAO Tuna Atlas
Fact sheet generator:
iMarine Tagger: the goal here is to generate RDF from different data sources (bibliographic references, databases, .pdf, .doc files, OGC metadata, ELM metadata) to enrich the set of results made available by iMarine search engine
iMarine search engine: to enable users to discover and retrieve iMarine information resources by benefiting semantic Web approach (multilinguism, synonyms..)

@@ Line 25: / Line 25: @@
 ** [http://sirs.agrocampus-ouest.fr/atlas_thonV5-FR IRD Tuna Atlas]
 ** [http://www.fao.org/figis/geoserver/tunaatlas FAO Tuna Atlas]
-* <span style="color:#4169E1">'''Species data enrichment'''</span>: Species distribution, occurrences of other fisheries databases aimed to be input data for WPS that can collect environmental data for the same date and location than species observations. However underlying processing currently require IDL language.
+* Fact sheet generator:
-* <span style="color:#4169E1">'''Statistical data reallocation ([http://wiki.i-marine.eu/index.php/SPREAD SPREAD])'''</span>: combining both statistical data (time-series) with geospatial data (intersections, Species distributions, etc) processed with WPS in order to provide statistical estimate data by mean of new time-series referenced at other geospatial resolutions.
+* iMarine Tagger: the goal here is to generate RDF from different data sources (bibliographic references, databases, .pdf, .doc files, OGC metadata, ELM metadata) to enrich the set of results made available by iMarine search engine
+* iMarine search engine: to enable users to discover and retrieve iMarine information resources by benefiting semantic Web approach (multilinguism, synonyms..)