Representing Ecological Network Specifications with Semantic Web Techniques

Gianluca Torta, Liliana Ardissono, Luigi La Riccia, Adriano Savoca, Angioletta Voghera

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.

Paper Citation

in Harvard Style

Torta G., Ardissono L., La Riccia L., Savoca A. and Voghera A. (2017). Representing Ecological Network Specifications with Semantic Web Techniques.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 86-97. DOI: 10.5220/0006573500860097

in Bibtex Style

@conference{keod17,
author={Gianluca Torta and Liliana Ardissono and Luigi La Riccia and Adriano Savoca and Angioletta Voghera},
title={Representing Ecological Network Specifications with Semantic Web Techniques},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={86-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006573500860097},
isbn={978-989-758-272-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Representing Ecological Network Specifications with Semantic Web Techniques
SN - 978-989-758-272-1
AU - Torta G.
AU - Ardissono L.
AU - La Riccia L.
AU - Savoca A.
AU - Voghera A.
PY - 2017
SP - 86
EP - 97
DO - 10.5220/0006573500860097