Abstract
A novel mobile Semantic Interpreter Pythia (SI) has been created by codifying an equally novel model-driven expert knowledge algorithm. Integrating data from databases and automating soil profiling, it offers consolidated knowledge and provides much-needed help to engineers in situ, operating either on-or off-line. Thus, preparatory work volume is reduced, and so is uncertainty. Pythia implements an ICT-based GIS-driven model focusing on the geotechnical aspect of soil conditions, while the mobile component undertakes in situ operations under GIS-guidance, by constantly exchanging and updating data. As the first SI Pythia trials have already been successfully completed, the need for appropriate education and training of future engineers looms large.
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Papadopoulou, M.A., Ioannidis, G.S. (2018). Mobilizing the Semantic Interpreter Pythia – Teaching Engineering Students to Integrate GIS and Soil Data During In Situ Measurements. In: Auer, M., Tsiatsos, T. (eds) Interactive Mobile Communication Technologies and Learning. IMCL 2017. Advances in Intelligent Systems and Computing, vol 725. Springer, Cham. https://doi.org/10.1007/978-3-319-75175-7_19
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DOI: https://doi.org/10.1007/978-3-319-75175-7_19
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