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
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 th
em.
(More)