An ontological approach to represent knowledge in territorial planning science
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 transforma...
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| Published in | Computers, environment and urban systems Vol. 34; no. 2; pp. 117 - 132 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
Elsevier Ltd
01.03.2010
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0198-9715 1873-7587 |
| DOI | 10.1016/j.compenvurbsys.2009.09.004 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Cataldo, Antonia Rinaldi, Antonio M. |
| Author_xml | – sequence: 1 givenname: Antonia surname: Cataldo fullname: Cataldo, Antonia email: cataldo@unina.it organization: Dipartimento di Pianificazione e Scienza del Territorio, Università di Napoli Federico II, Piazzale Tecchio, 80 – 80125 Napoli, Italy – sequence: 2 givenname: Antonio M. surname: Rinaldi fullname: Rinaldi, Antonio M. email: amrinald@unina.it organization: Dipartimento di Informatica e Sistemistica, Università di Napoli Federico II, via Claudio, 21 – 80125 Napoli, Italy |
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| Keywords | 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 |
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