Abstract
This paper describes the "Land Based Classification Standards" (LBCS) OWL2 ontology used as a basic structure for the "City Information Modelling" (CIM) model developed within a larger research project aimed at developing a tool for urban planning and design. The main purpose is to provide semantic and computer-readable land use descriptions of geo-referenced spatial data, to make available programming strategies and design options to the participants of the urban development process. There are several advantages of transferring a Land use standard into a OWL2 land use ontology: it is modular, it can be shared and reused, it can be extended and data consistency can be checked, it is ready to be integrated, supporting the interoperability of different urban planning applications.
| Original language | English (US) |
|---|---|
| Title of host publication | Computational Science and Its Applications, ICCSA 2011 - International Conference, Proceedings |
| Pages | 185-198 |
| Number of pages | 14 |
| Edition | PART 2 |
| DOIs | |
| State | Published - 2011 |
| Event | 2011 International Conference on Computational Science and Its Applications, ICCSA 2011 - Santander, Spain Duration: Jun 20 2011 → Jun 23 2011 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 2 |
| Volume | 6783 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 2011 International Conference on Computational Science and Its Applications, ICCSA 2011 |
|---|---|
| Country/Territory | Spain |
| City | Santander |
| Period | 6/20/11 → 6/23/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- General Computer Science
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