Ontological Representation of Constraints for Geographical Reasoning

Gianluca Torta, Liliana Ardissono, Marco Corona, Luigi La Riccia, Angioletta Voghera

2018

Abstract

We describe a framework that supports multiple types of constraint-based reasoning tasks on a geographic domain, by exploiting a semantic representation of the domain itself and of its constraints. Our approach is based on an abstract graph representation of a geographical area and of its relevant properties, for performing the reasoning tasks. As a test-bed, we consider the domain of Ecological Networks (ENs), which describe the structure of existing real ecosystems and help planning their expansion, conservation and improvement by introducing constraints on land use. While some previous work has been done about supporting the verification of compliance of fully specified ENs, we aim at taking a significant step further, by addressing the automatic suggestion of suitable aggregations of land patches into elements of the EN. This automated generation of EN elements is relevant to support the human planner in the design of public policies for land use because it leverages automated tools to carry out a possibly lengthy and error-prone task.

Paper Citation

in Harvard Style

Torta G., Ardissono L., Corona M., Riccia L. and Voghera A. (2018). Ontological Representation of Constraints for Geographical Reasoning. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD; ISBN 978-989-758-330-8, SciTePress, pages 136-147. DOI: 10.5220/0006960901360147

in Bibtex Style

@conference{keod18,
author={Gianluca Torta and Liliana Ardissono and Marco Corona and Luigi La Riccia and Angioletta Voghera},
title={Ontological Representation of Constraints for Geographical Reasoning},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD},
year={2018},
pages={136-147},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006960901360147},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD
TI - Ontological Representation of Constraints for Geographical Reasoning
SN - 978-989-758-330-8
AU - Torta G.
AU - Ardissono L.
AU - Corona M.
AU - Riccia L.
AU - Voghera A.
PY - 2018
SP - 136
EP - 147
DO - 10.5220/0006960901360147
PB - SciTePress