Digitilization footprint (DF) quantifies the cost, time, and data volume of information storage, transmission, and processing in a virtual environment, and is a key indicator for evaluating virtual sustainability. Based on the modeling process and indicator system of DF-LCA, this paper models the automated construction of a knowledge graph question-answering system for agricultural pests and diseases, defines a data processing unit (DPU), and analyzes data flow to evaluate resource consumption during system construction. By monitoring DPU through Grafana, this paper obtains key indicators of the virtual environment, providing a basis for evaluating the virtual sustainability of different construction processes. Compared with the evaluation of individual modules by previous researchers, this paper models the life cycle of the entire data for this process, which not only reveals the contribution of each module of the knowledge graph question-answering system in the virtual environment, but also provides a basis for the study of knowledge graph sustainability. At the same time, it provides a case reference for the application of DF -LCA in the agricultural field. Its modeling and monitoring methods also provide a reference for DF research in other systems.

A DF-LCA Modeling and Evaluation Case Study on an Agricultural Pests and Diseases Knowledge Graph Based Q&A System

Gao, Qi;Marinello, Francesco;
2024

Abstract

Digitilization footprint (DF) quantifies the cost, time, and data volume of information storage, transmission, and processing in a virtual environment, and is a key indicator for evaluating virtual sustainability. Based on the modeling process and indicator system of DF-LCA, this paper models the automated construction of a knowledge graph question-answering system for agricultural pests and diseases, defines a data processing unit (DPU), and analyzes data flow to evaluate resource consumption during system construction. By monitoring DPU through Grafana, this paper obtains key indicators of the virtual environment, providing a basis for evaluating the virtual sustainability of different construction processes. Compared with the evaluation of individual modules by previous researchers, this paper models the life cycle of the entire data for this process, which not only reveals the contribution of each module of the knowledge graph question-answering system in the virtual environment, but also provides a basis for the study of knowledge graph sustainability. At the same time, it provides a case reference for the application of DF -LCA in the agricultural field. Its modeling and monitoring methods also provide a reference for DF research in other systems.
2024
2024 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2024 - Proceedings
2024 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3560240
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