Semantic cluster guidelines

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What kind of data and Services do we aim to provide ?

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

Data sources

  • RDF compliant data sources
    • 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]...
    • Agrovoc / GEMET ??
    • Worms [3] not available so far as a real knowledge base...
  • non RDF compliant data sources but interesting for their content:
    • GBIF, EOL, made available by Species manager of iMarine VRE
    • FAO fishing gears and vessels codes made available by Code list manager of iMarine VRE..

Related services

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 [4]
    • Example of FLOD SPARQL endpoint [5]
  • OpenSearch which is more restricted to information resources through generic OpenSearch URL and data formats (HTML, RSS, RDF extension [6]):
    • Ecoscope OpenSearch HTML results [7]
    • Ecoscope OpenSearch RSS results [8]
    • Ecoscope OpenSearch RDF results [9]

End products

The following examples schow what are possible end products to be delivered to the users by combining previous data and services:

  • Fact sheet generator for Tuna atlas: related to geospatial cluster, this semantic cluster activity aims to generate fact sheets for the Tuna Atlas. Tuna fisheries data will be made handled through Web Services: accessible through standard protocols (e.g. WFS) 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:
  • 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..)
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