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Ontology for GMES


With the aim to extend the use of EO applications for every day life, the Research and Ground Segment Technology Service Support Office has designed and implemented an innovative tool intended to link available EO products to semantic terms familiar to specific application domains.

This search tool is mainly a knowledge-based system, permitting a semantic access to the available EO resources. The system provides a semantic-based link between application and related, available, EO resource through a shared, multi-domain thesaurus (made of a Graph and a Vocabulary and containing also synonyms and related terms) and a Taxonomy, specific to the GMES Space Component Data Access (GSCDA).Thanks to this approach, the user can start the search inside the common Thesaurus, using the terms specific to his application domain, and, in a few clicks, identify the useful EO product(s) among those made available within the GSCDA (classified by sensor, mission, product type and data sets). 


After accessing the semantic client on the GSCDA web portal, the user can search the Thesaurus using a free text option or a 2D navigator. In the free text option the first result the user gets is a hierarchical structure of the relevant terms, like in following example:


Together with this semantic approach, at the bottom of the same web page, the user can find a list of related EO products (if available).



When no product is displayed, the user has to refine his search, for example by selecting a term from those proposed by the system.

In the 2D navigation option the user moves graphically along the visual Thesaurus.The semantic search is implemented through two Web Services, Semantic Search and Fast Domain Navigator, and three web applications.The multi-domain graph and the GSCDA taxonomy are represented in OWL (Web Ontology Language), a standard language to implement ontology knowledge-base for handling via standard and open-source tools (e.g.: the Protégé graphical editor) and for possible analysis by logic reasoners.




Contributors to this page:
livia ranieri .

Page last modified on Monday 28 of April 2014 15:34:29 CEST by .