An Ontology Approach to Manage Land Use Planning Knowledge in Iran

Document Type : Original Article

Authors

1 Environment science, Faculty of Fisheries and Environment, Gorgan University of Agricultural Sciences and Natural Resources

2 Department of Environment, Faculty of Fisheries and Environment, Gorgan University of Agricultural Sciences and Natural Resources

3 Environmental Planning, Faculty of Environment, University of Tehran

Abstract

Land-use planning knowledge in Iran includes a large body of data and information that necessitates efficient managing methods. Through definition of knowledge in land use planning studies of each sector, data exchange and sharing of information become easier and more useful. In recent years, ontological structuring of the terms related to a specific domain of knowledge and the relationships among them has developed greatly. The use of ontology approach facilitates exchange of information and understanding of the concepts and the relationships among users in different areas of knowledge. In this paper, using the software Protégé, the relationships were defined among land use information via the Web Ontology Language (WOL). Due to the vast extent of data gathered in land use planning studies in different fields, this study is limited to the environmental sector. The main purpose of this paper is to provide a model for managing land use planning knowledge based on ontology, and create a framework of concepts and different relationships in this field. In doing this, the hope is to share data and knowledge among specialists and organizations involved and increase the efficiency of these studies in Iran. As we know, the land use planning for the 31 provinces of Iran is becoming completed where each province has used its hard and software to handle and disseminate data and information produced during the process. Using the ontology concept introduced in the paper can help unify these measures and prevent reinventing the wheel as much as possible.

Keywords


Aden, j. & Morgan, R, 2001. Regional Planning, A. Comperehensive View. Leonard Hill Books.
Ahmadi Foroushani, S.M. & Mahmoudi, S.M. 2010. Status of Land Administration in the Town and Country Planning. Town and Country Planning2(2).
Chalabianlou, R.; Makhdoom, M.; Yavari, A. & Jafari, H. 2011. Ontological explication of ecological knowledge for conservation planning of desert ecosystems. Environmental researches.97-107.
Calvanese, D.; De Giacomo, G.; Lembo, D.; Montali, M. & Santoso, A. 2012, September. Ontology-based governance of data-aware processes. In International Conference on Web Reasoning and Rule Systems (pp. 25-41). Springer Berlin Heidelberg.
Ding, Y. & Foo, S. 2002. Ontology research and development. Part 1-a review of ontology generation. Journal of information science, 28(2), pp.123-136.
Effati, M.; Rajabi, M. & Shabani, S. 2012. Developing a knowledge-driven geospatial information system for regional transportation corridors accidents prediction. Journal of transportation engineering. 345-359.
Gruber, T.R. 1993. A translation approach to portable ontology specifications. Knowledge acquisition, 5(2), pp.199-220.
Guarino, N. 1998. June. Formal ontology and information systems. In Proceedings of FOIS (Vol. 98, No. 1998, pp. 81-97).
LeClair, A. & Khedri, R. 2016. Conto: A Protégé Plugin for Configuring Ontologies. Procedia Computer Science, 83, pp.179-186.
Makhdoom, M.; Darvishsefat, A.A.; Jafarzadeh, H. & Makhdoom, A.R. 2001. Environmental assessment and planning with GIS. University of Tehran Publication310.
Macris, A.M. & Georgakellos, D.A. 2006. A new teaching tool in education for sustainable development: ontology-based knowledge networks for environmental training. Journal of Cleaner Production, 14(9), pp.855-867.
Makhdoom, M. 2010. The foundation of land management. University of Tehran Publication. 289.
McGuinness, D.L. & Van Harmelen, F. 2004. OWL web ontology language overview. W3C recommendation, 10(10), p.2004.
Montenegro, N.; Gomes, J.C.; Urbano, P. & Duarte, J.P. 2012. A land use planning ontology: LBCS. Future Internet, 4(1), pp.65-82.
Noy, N.F. & McGuinness, D.L. 2001. Ontology development 101: A guide to creating your first ontology.
Roussey, C.; Pinet, F.; Kang, M.A. & Corcho, O. 2011. An introduction to ontologies and ontology engineering. In Ontologies in Urban Development Projects (pp. 9-38). Springer London.
Salehi, E. & Pourasghar, S.F. 2009. An analysis of challenge facing territorial management in Iran. Rahbord. 149-181.
Sanaye Goldouz. S. 2010. Analysis of environmental impact assessment models and development of knowledge network for environmental impact assessment in Iran. PhD Dissertation, University of Tehran.
Salmanmahiny, A. 2011. Fundamentals of environmental protection. DeyNegar Publications. Second edition. 476.
Smith, B.; Ashburner, M.; Rosse, C.; Bard, J.; Bug, W.; Ceusters, W.; Goldberg, L.J.; Eilbeck, K.; Ireland, A.; Mungall, C.J. & Leontis, N. 2007. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nature biotechnology, 25(11), pp.1251-1255.
Sowa, J. F. 1999. Knowlegde Representation: Logical, Philosophical, and Computational Foundations, Brooks Cole Publishing Co., Pacific Grove. 594pp.
Uschold, M. & Gruninger, M. 1996. Ontologies: Principles, methods and applications. The knowledge engineering review, 11(02), pp.93-136.
Uschold, M. 2000. August. Creating, integrating and maintaining local and global ontologies. In Proceedings of the First Workshop on Ontology Learning (OL-2000) in conjunction with the 14th European Conference on Artificial Intelligence (ECAI-2000).
Wanner, L.; Rospocher, M.; Vrochidis, S.; Johansson, L.; Bouayad-Agha, N.; Casamayor, G.; Karppinen, A.; Kompatsiaris, I.; Mille, S.; Moumtzidou, A. & Serafini, L. 2015. Ontology-centered environmental information delivery for personalized decision support. Expert Systems with Applications, 42(12), pp.5032-5046.