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Authors: Gianluca Torta 1 ; Liliana Ardissono 1 ; Luigi La Riccia 2 ; Adriano Savoca 1 and Angioletta Voghera 2

Affiliations: 1 Università di Torino, Italy ; 2 Dipartimento Interateneo di Scienze and Progetto e Politiche del Territorio, Italy

ISBN: 978-989-758-272-1

Keyword(s): Geographic Knowledge, Geographical Constraints, GeoSPARQL, Ecological Networks, Urban Planning.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Collaboration and e-Services ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; e-Business ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Semantic Web ; Soft Computing ; Symbolic Systems

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 the m. (More)

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Paper citation in several formats:
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

@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},
}

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

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