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.
Highlights
The constant evolution of technology has enabled us to manipulate information in the ways different from the past when it was only carried out manually and with a large time investment
The objective of this research is to present a methodology for the design of an environmental ontology and its application in the Environmental Quality Synoptic System (EQSS)
In a previous review of environmental ontologies studies, we did not find an environmental ontology that incorporated the necessary information as posed by the ERFCA technique [7], and the concept of ontology was used since the late 1990s [8] [9], taken a peak in recent years thanks to advances in information technology [10]-[13]
Summary
The constant evolution of technology has enabled us to manipulate information in the ways different from the past when it was only carried out manually and with a large time investment. Given the complexity of the collection of environmental information and its impact on decision-making in environmental public policy, it is required to have a mechanism capable of integrating data and relations between them allowing form a knowledge base EQSS This architecture operates according to the methodology of the art Rapid Evaluation of Sources of Environmental Contamination (ERFCA by its acronym in Spanish) [5] [7]. The Web Ontology developed in this research, is based on the ERFCA technique [5] and its modification by Econopoulous [7], in 2002 for air pollution sources which allow conducting inventories of pollution sources and their results obtained by the use of indicators of environmental quality status Batelle type These indicators establish evaluation criteria and an estimate of pollution generated according to the production of goods or services of different generating sources of contamination. The proposed ontology provides information for decision-making in regard to environmental quality and it is expected to interact with other environmental policy instruments, incorporating tools of Geographic Information Systems (GIS)
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