Abstract: This paper presents an ontology-based interactive interface designed to provide farmers in Gujarat with information related to groundnut crops. An ontology specific to the groundnut crop was developed and used to create a semantic question-answering (QA) interface. The proposed QA interface converts natural language question into SPARQL Query and provides answer using the backbone ontology. The overall performance of the system is at par with the existing semantic QA system. Overall accuracy of QA System is 80%.

Purvi H. Bhensdadia and C. K. Bhensdadia, “An Ontology-Based Intelligent Interactive Knowledge Interface for Groundnut Crop Information” International Journal of Advanced Computer Science and Applications(IJACSA), 15(11), 2024. http://dx.doi.org/10.14569/IJACSA.2024.01511111

@article{Bhensdadia2024,
title = {An Ontology-Based Intelligent Interactive Knowledge Interface for Groundnut Crop Information},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01511111},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01511111},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {11},
author = {Purvi H. Bhensdadia and C. K. Bhensdadia}
}