An ontological approach to represent knowledge in territorial planning science

• Published in: Computers, environment and urban systems Vol. 34; no. 2; pp. 117 - 132
• Main Authors: Cataldo, Antonia, Rinaldi, Antonio M.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.03.2010; Elsevier
• Subjects: Ambiguity; Applied sciences; Buildings. Public works; Computer simulation; Exact sciences and technology; Knowledge representation; Knowledge representation formalisms and methods; Land; Landscape; Landscapes; Mathematical models; OWL; Semantic networks; Semantics; Territorial planning; Transformations; Urban development; WordNet; Knowledge representation formalisms and methods; Landscape; Semantic networks; Territorial planning; OWL; WordNet; System architecture; Methodology; Ontology; methods; Knowledge representation; Knowledge representation formalisms and; Modeling; Experience feedback; Semantics; Area planning
• ISSN: 0198-9715; 1873-7587
• DOI: 10.1016/j.compenvurbsys.2009.09.004

Territorial planning science pertains to the governance of land transformations. Therefore it concerns several matters and heterogeneous subjects that use knowledge as a basis. Formal methodologies and techniques of knowledge representation are fundamental tools for the governance of land transformations and for sharing information among involved subjects. We propose and implement an ontology-based model of knowledge in the framework of landscape planning, with a particular emphasis on cultural landscape, to resolve conceptual misunderstandings and semantic ambiguities, and to provide a precise and accurate description of the current state of our knowledge.