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Development of an Ontology-Based Knowledge Network by Interconnecting Soil/Water Concepts/Properties, Derived from Standards Methods and Published Scientific References Outlining Infiltration/Percolation Process of Contaminated Water

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Document pages: 28 pages

Abstract: The present work deals with the development of an Ontology-Based Knowledge Network of soil water physicochemical & biological properties (soil water concepts), derived from ASTM Standard Methods (ASTMi,n) and relevant scientific applicable references (published papers—PPi,n) to fill up bridge the gap of the information science between cited Standards and infiltration discipline conceptual vocabulary providing accordingly a dedicated internal Knowledge Base (KB). This attempt constitutes an innovative approach, since it is based on externalizing domain knowledge in the form of Ontology-Based Knowledge Networks, incorporating standardized methodology in soil engineering. The ontology soil water concepts (semantics) of the developed network correspond to soil water physicochemical & biological properties, classified in seven different generations that are distinguished located in infiltration percolation process of contaminated water through soil porous media. The interconnections with arcs between corresponding concepts properties among the consecutive generations are defined by the relationship of dependent and independent variables. All these interconnections are documented according to the below three ways: 1) dependent and independent variables interconnected by using the logical operator “depends on” quoting existent explicit functions and equations; 2) dependent and independent variables interconnected by using the logical operator “depends on” quoting produced implicit functions, according to Rayleigh’s method of indices; 3) dependent and independent variables interconnected by using the logical operator “related to” based on a logical dependence among the examined nodes-concepts-variables. The aforementioned approach provides significant advantages to semantic web developers and web users by means of prompt knowledge navigation, tracking, retrieval and usage.

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