Developing Ontology Systems as a Base of an Environmental Quality Management Model in México
Author(s)
René Bernardo Elías Cabrera-Cruz1*,
Erika Alarcón-Ruiz1,
Julio César Rolón-Aguilar1,
Salvador W. Nava-Díaz1,
Elena María Otazo-Sánchez2,
Ricardo Pérez Aviléz3
Affiliation(s)
1 Division of Postgraduate Studies and Research, Faculty of Engineering “Arturo Narro Siller”, Autonomous University of Tamaulipas, Tamaulipas, Mexico. 2 Center for Chemical Research, Autonomous University of Hidalgo State, Hidalgo, Mexico. 3 Institute of Sciences, Autonomous University of Puebla, Puebla, Mexico.
1 Division of Postgraduate Studies and Research, Faculty of Engineering “Arturo Narro Siller”, Autonomous University of Tamaulipas, Tamaulipas, Mexico. 2 Center for Chemical Research, Autonomous University of Hidalgo State, Hidalgo, Mexico. 3 Institute of Sciences, Autonomous University of Puebla, Puebla, Mexico.
ABSTRACT
The process of identifying the attributes and relationships considered in an ontology is a complex task because there are many factors involved in the deterioration of environmental quality, the diversity of sources and data dispersion. This work presents an ontology that integrates the data required by an Environmental Quality Synoptic System (EQSS), which to date scatters in different Internet sites and concentrates by different agencies for example INEGI, CONABIO, SEMARNAT, CNA, among others. The methodology process consists of the collection of environmental information in Mexico through the application of computational techniques resulting ontology with environmental knowledge that will be processed by the system EQSS. Among the main advantages is than the selection and structure of information allow the automated generation of results in an environmental statement. The ontology proposal is based on knowledge of EQSS system that is based on the architecture of expert systems and through this important information for decision-making in regard to environmental quality and interaction with Geographic Information System (GIS) is obtained.
The process of identifying the attributes and relationships considered in an ontology is a complex task because there are many factors involved in the deterioration of environmental quality, the diversity of sources and data dispersion. This work presents an ontology that integrates the data required by an Environmental Quality Synoptic System (EQSS), which to date scatters in different Internet sites and concentrates by different agencies for example INEGI, CONABIO, SEMARNAT, CNA, among others. The methodology process consists of the collection of environmental information in Mexico through the application of computational techniques resulting ontology with environmental knowledge that will be processed by the system EQSS. Among the main advantages is than the selection and structure of information allow the automated generation of results in an environmental statement. The ontology proposal is based on knowledge of EQSS system that is based on the architecture of expert systems and through this important information for decision-making in regard to environmental quality and interaction with Geographic Information System (GIS) is obtained.
Cite this paper
Cabrera-Cruz, R. , Alarcón-Ruiz, E. , Rolón-Aguilar, J. , Nava-Díaz, S. , Otazo-Sánchez, E. and Aviléz, R. (2015) Developing Ontology Systems as a Base of an Environmental Quality Management Model in México. Journal of Environmental Protection, 6, 1084-1093. doi: 10.4236/jep.2015.69095.
Cabrera-Cruz, R. , Alarcón-Ruiz, E. , Rolón-Aguilar, J. , Nava-Díaz, S. , Otazo-Sánchez, E. and Aviléz, R. (2015) Developing Ontology Systems as a Base of an Environmental Quality Management Model in México. Journal of Environmental Protection, 6, 1084-1093. doi: 10.4236/jep.2015.69095.
References
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http://file.scirp.org/Html/39580.html [11] Ujang, U. and Rahman, A.A. (2013) Temporal Three-Dimensional Ontology for Geographical Information Science (GIS)—A Review. Journal of Geographic Information System, 5, 314-323.
http://dx.doi.org/10.4236/jgis.2013.53030
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http://www.scielo.org.mx/scielo.php?pid=S1870-90442012000100006&script=sci_arttext [13] Toledo, J.I., Guzmán, A. and Martínez, G.L. (2012) Automatic Building of an Ontology from a Corpus of Text Documents. Using Data Mining Tools. Journal of Applied Research and Technology, 10, 398-404. [14] Bracho, P., Kleeder, J., Ureña, V. and Yan, C. (2012) Ontology Development of Research and Culture. En-Claves del Pensamiento, 6, 11-29.
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http://www.redalyc.org/articulo.oa?id=61529295010 [16] Bakaev, M. and Avdeenko, T. (2013) Indexing and Comparison of Multi-Dimensional Entities in a Recommender System Based on Ontological Approach. Computación y Sistemas, 17, 5-13.
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http://www.conabio.gob.mx/index.html [22] SEMARNAT (2014)
http://www.semarnat.gob.mx/ [23] INEGI (2014)
http://www.inegi.org.mx/ [24] CONAGUA (2014)
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[1] Garrido, J. and Requena, I. (2011) Proposal of Ontology for Environmental Impact Assessment: An Application with Knowledge Mobilization. Expert Systems with Applications, 38, 2462-2472.
http://www.sciencedirect.com/science/article/pii/S0957417410008316
http://dx.doi.org/10.1016/j.eswa.2010.08.035 [2] National Institute of Ecology (2005) Guide Development and Use of Emission Inventories. National Institute of Ecology. Secretary of the Environment and Natural Resources Press, Mexico. [3] Ceccaroni, L., Cortés, U. and Sànchez-Marrè, M. (2004) Onto WEDSS: Augmenting Environmental Decision-Support Systems with Ontologies. Environmental Modelling & Software, 19, 785-797.
http://www.sciencedirect.com/science/article/pii/S1364815203002056
http://dx.doi.org/10.1016/j.envsoft.2003.03.006 [4] Torres-Bejarano, F., Ramirez, H., Denzer, R., Frysinger, S., Hell, T. and Schlobinski, S. (2013) Linking Numerical Water Quality Models in an Environmental Information System for Integrated Environmental Assessments. Journal of Environmental Protection, 4, 126-137.
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=34843#.VTsyRCF_Oko
http://dx.doi.org/10.4236/jep.2013.47A015 [5] Wright, A.J., Dolman, S.J., Jasny, M., Parsons, E.C.M., Schiedek, D. and Young, S.B. (2013) Myth and Momentum: A Critique of Environmental Impact Assessments. Journal of Environmental Protection, 4, 72-77.
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=36162#.VTwjXCF_Oko
http://dx.doi.org/10.4236/jep.2013.48A2009 [6] Oliveira, I., Montaño, M. and Souza, M. (2013) Strategic Environmental Assessment to Improve Infrastructure Impact Assessments in Brazil. Journal of Environmental Protection, 4, 1189-1196.
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=38690#.VTwjUyF_Oko
http://dx.doi.org/10.4236/jep.2013.410136 [7] Alarcón, E., Cabrera, R.B.E., Rolón, J.C., Pichardo, R., Gordillo, A.J. and Otazo, E.M. (2014) Interaction between Environmental and Computer Science for the Development of Environmental Quality Software. In: López-Velasco, R. and Rodríguez-Herrera, A.L., Eds., Urban and Rural Areas and the Problem of Sustainability, Autonomous University of Guerrero, 260-279. [8] Zhu, S. and Feng, J. (2010) Using an Ontology to Help Reason about the Information Content of Data. Journal of Software Engineering and Applications, 3, 629-643.
http://file.scirp.org/Html/2219.html
http://dx.doi.org/10.4236/jsea.2010.37073 [9] Zhong, L., Zheng, M., Yuan, J. and Jin, J. (2012) The Jena-Based Ontology Model Inference and Retrieval Application. Intelligent Information Management, 4, 157-160.
http://file.scirp.org/Html/9-30305_21412.htm [10] Guo, M. (2013) The Application of Ontology in Semantic Discovery for GeoData Web Service. Communications and Network, 5, 678-680.
http://file.scirp.org/Html/39580.html [11] Ujang, U. and Rahman, A.A. (2013) Temporal Three-Dimensional Ontology for Geographical Information Science (GIS)—A Review. Journal of Geographic Information System, 5, 314-323.
http://dx.doi.org/10.4236/jgis.2013.53030
http://file.scirp.org/Html/13-8401253_33290.htm [12] Loza-Pacheco, E., Torres-Ruiz, M. and Guzmán-Lugo, G. (2012) Spatial Reasoning for Determining the Domain of the Set of Tags That Represent Geographic Objects. Polibits, 45, 37-52.
http://www.scielo.org.mx/scielo.php?pid=S1870-90442012000100006&script=sci_arttext [13] Toledo, J.I., Guzmán, A. and Martínez, G.L. (2012) Automatic Building of an Ontology from a Corpus of Text Documents. Using Data Mining Tools. Journal of Applied Research and Technology, 10, 398-404. [14] Bracho, P., Kleeder, J., Ureña, V. and Yan, C. (2012) Ontology Development of Research and Culture. En-Claves del Pensamiento, 6, 11-29.
http://www.redalyc.org/articulo.oa?id=141125359011 [15] Martínez, R.C., Téllez, R.Q., Ibarra, M.A.M., Ruiz, M.T. and Lugo, G.G. (2013) Semantic Comparison of Geographic Datasets Conceptualized through Ontologies. Computación y Sistemas, 17, 569-581.
http://www.redalyc.org/articulo.oa?id=61529295010 [16] Bakaev, M. and Avdeenko, T. (2013) Indexing and Comparison of Multi-Dimensional Entities in a Recommender System Based on Ontological Approach. Computación y Sistemas, 17, 5-13.
http://www.scielo.org.mx/pdf/cys/v17n1/v17n1a2.pdf [17] Sosnin, P. (2010) Creation and Usage of Project Ontology in Development of Software Intensive Systems. Polibits, 42, 51-58.
http://www.scielo.org.mx/scielo.php?pid=S1870-90442010000200006&script=sci_arttext [18] Strohmaier, M., Walk, S., Pöschko, J., Lamprecht, D., Tudorache, T., Nyulas, C., Musen, M.A. and Noy, N.F. (2013) How Ontologies Are Made: Studying the Hidden Social Dynamics behind Collaborative Ontology Engineering Projects. Web Semantics: Science, Services and Agents on the World Wide Web, 20, 18-34.
http://www.sciencedirect.com/science/article/pii/S1570826813000164
http://dx.doi.org/10.1016/j.websem.2013.04.001 [19] Noy, N.F. and McGuinness, D. (2001) Ontology Development 101: A Guide to Creating Your First Ontology. Stanford Knowledge Systems Laboratory.
http://protege.stanford.edu/publications/ontology_development/ontology101.pdf [20] Toledo, J.I., Guzmán, A. and Martínez, G.L. (2012) Automatic Building of an Ontology from a Corpus of Text Documents Using Data Mining Tools. Journal of Applied Research and Technology, 10, 398-404. [21] CONABIO (2014)
http://www.conabio.gob.mx/index.html [22] SEMARNAT (2014)
http://www.semarnat.gob.mx/ [23] INEGI (2014)
http://www.inegi.org.mx/ [24] CONAGUA (2014)
http://www.conagua.gob.mx [25] PROFEPA (2014)
http://www.profepa.gob.mx/ [26] Vickery, B.C. (1997) Ontologies. Journal of Information Science, 23, 277-286.
http://dx.doi.org/10.1177/016555159702300402 [27] Giarratano, J. and Riley, G. (2001) Expert Systems: Principles and Programming. 3rd Edition, International Thomson Editores, México, D.F. [28] Kyzirakos, K., Karpathiotakis, M., Garbis, G., Nikolaou, C., Bereta, K., Papoutsis, I., Herekakis, T., Michail, D., Koubarakis, M. and Kontoes, C. (2014) Wildfire Monitoring Using Satellite Images, Ontologies and Linked Geospatial Data. Web Semantics: Science, Services and Agents on the World Wide Web, 24, 18-26.
http://www.sciencedirect.com/science/article/pii/S1570826814000031
http://dx.doi.org/10.1016/j.websem.2013.12.002 [29] Soergel, D. (1999) The Rise of Ontologies or the Reinvention of Classification. Journal of the American Society for Information Science, 50, 1119-1120.
http://dx.doi.org/10.1002/(SICI)1097-4571(1999)50:12<1119::AID-ASI12>3.0.CO;2-I [30] Hernández, A., Hernández, P. and Gordillo, A. (2006) Handbook of Environmental Impacts Assessment. INNCIVE, Innovación Civil Española, S.L., Madrid.