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Representing Ecological Network Specifications with Semantic Web Techniques

Authors :
Luigi La Riccia
Angioletta Voghera
Gianluca Torta
Adriano Savoca
Liliana Ardissono
Source :
KEOD, Politecnico di Torino-IRIS, Scopus-Elsevier
Publication Year :
2017
Publisher :
SCITEPRESS - Science and Technology Publications, Lda., 2017.

Abstract

Ecological Networks (ENs) are a way to describe the structures of existing real ecosystems and to plan their expansion, conservation and improvement. In this work, we present a model to represent the specifications for the local planning of ENs in a way that can support reasoning, e.g., to detect violations within new proposals of expansion, or to reason about improvements of the networks. Moreover, we describe an OWL ontology for the representation of ENs themselves. In the context of knowledge engineering, ENs provide a complex, inherently geographic domain that demands for the expressive power of a language like OWL augmented with the GeoSPARQL ontology to be conveniently represented. More importantly, the set of specification rules that we consider (taken from the project for a local EN implementation) constitute a challenging problem for representing constraints over complex geographic domains, and evaluating whether a given large knowledge base satisfies or violates them.

Details

Language :
English
Database :
OpenAIRE
Journal :
KEOD, Politecnico di Torino-IRIS, Scopus-Elsevier
Accession number :
edsair.doi.dedup.....c3c81147207f727630add09f11f1853f