Avellino, Giuseppe and Pariente Lobo, Tomàs and Schimak, Gerald and Rizzoli, Andrea Emilio and Dihé, Pascal (2011) Applying semantics in the environmental domain: The TaToo project approach. In: Innovations in Sharing Environmental Observation and Information 25th Enviroinfo Conference "Environmental Informatics", Ispra (VA) Italy.
Full text not available from this repository.Abstract
The EU FP7 TaToo project major aim is to bridge the resource discovery gap. This is a well know problem regard- ing, firstly, the difficulty of discovering resources available on the Web, secondly, the access and possibly the ‘visu- alisation’ of these resources once discovered. TaToo is trying to solve the problem through a framework (based on semantic concepts) able to store in a knowledge base, meta-information (or metadata) associated with resources. Me- ta-information is then used by TaToo during the resource discovery process. Meta-information is provided by end users while discovering resources or by resource owners and, as stored in a triplestore, it consists of RDF triples made of Domain Ontologies concepts. Meta-information knowledge base makes possible, together with a reasoner, a resource model for annotation, and a set of Domain Ontologies, a semantically-enhanced resource discovery process. The paper briefly shows the TaToo architecture focusing on the description of those components dealing with seman- tics. Then, it shows how semantics has been implemented, giving details on the Minimal Environmental Resource Model (MERM) and on the process of integrating Domain Ontologies to realise the ontology framework used in Ta- Too. 1.
| Item Type: | Article in conference proceedings or Presentation at a conference (Paper) |
|---|---|
| Subjects: | Engineering > Civil engineering > Environmental engineering Computer sciences > Information systems > Intelligent & expert systems Computer sciences > Artificial intelligence Computer sciences > Artificial intelligence > Knowledge representation |
| Department/unit: | Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull’intelligenza artificiale USI-SUPSI |
| Depositing User: | Andrea Emilio Rizzoli |
| Date Deposited: | 11 Feb 2014 10:06 |
| Last Modified: | 11 Feb 2014 10:06 |
| URI: | http://repository.supsi.ch/id/eprint/3709 |
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