Development of Semantic Enabled Engineering Soil Classification Along With Visualisation of Particle Size Distribution Curve Application
Srinivas Kumar P1, Raja Reddy K2
Manuscript received on 07 February 2019 | Revised Manuscript received on 20 February 2019 | Manuscript Published on 04 March 2019 | PP: 312-319 | Volume-7 Issue-5S2 January 2019 | Retrieval Number: ES2055017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Soil classification is the basic knowledge which a geotechnical engineer needs to have before embarking on the construction of projects like highway or metro construction. With the advent of semantic web technologies it is now possible for the humans and machines to collaborate by way of understanding the underlying meaning of the soil classification concepts. An innovative approach is discussed in this paper where artificial intelligence enabled soil classification is developed along with the visualization of particle size distribution curve using R language and owl technologies.
Keywords: Ontology; owl; R; rdf; Semantic Web.b.
Scope of the Article: Soil-Structure Interaction