Authors : Nandin-Erdene Enkhmyagmar; Enkhtuul Bukhsuren; Tumen-Ochir Tumurtulga; Enerlen Enkhtur; Munkhtsetseg Namsraidorj

Volume/Issue : Volume 10 - 2025, Issue 3 - March

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Google Scholar : https://tinyurl.com/2hwnw7we

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DOI : https://doi.org/10.38124/ijisrt/25mar967

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Abstract : In this article, we present a work that uses machine learning methods to create a graph database with knowledge graphs to investigate how a wholesale business organization can monitor, improve, and manage revenue changes over time based on data from marketing activation methods used to improve sales revenue of wholesale goods.

Keywords : Ontology; SPARQL; GraphDB; Sales; Machine Learning.

References :

1. Herbig, P. a., Milewicz, J., & Golden, J. E. The do’s and don'ts of sales forecasting. Industrial Marketing Management, 22(1), 1993, pp. 49–57.
2. Liu, L.-M., Bhattacharyya, S., Sclove, S. L., Chen, R., & Lattyak, W. J. Data mining on time series: an illustration using fast-food restaurant franchise data. Computational Statistics & Data Analysis, 2001,  37(4), pp.455–476.
3. Chaccour, C., Saad, W., Debbah, M., Han, Z., & Poor, H. V. Less Data, More Knowledge: Building Next Generation Semantic Communication Networks. IEEE Communications Surveys & Tutorials, 2024. doi:https://doi.org/10.1109/COMST.2024.3412852
4. Fu, C., Jiang, H., & Chen, X. RETRACTED ARTICLE: Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 2022, pp.1–13. doi:https://doi.org/10.1080/14778238.2020.1854632
5. Olan, F., Arakpogun, E. O., Suklan, J., Nakpodia, F., Damij, N., & Jayawickrama, U. Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research, 145, 2022, pp. 605-615. doi:https://doi.org/10.1016/j.jbusres.
6. Staab, S.; Studer, R. Handbook on Ontologies; Springer Science & Business Media: Berlin, Germany, 2013.
7. De Nicola, A., & Villani, M. L. Smart City Ontologies and Their Applications: A Systematic Literature Review. Sustainability, 2021, 13(10). doi:https://doi.org/10.3390/su13105578
8. Gruber, T.R. A translation approach to portable ontology specifications. Knowl. Acquis. 1993, 5, pp.199–220.
9. “SPARQL Query Language for RDF.” Available: https://www.w3.org/TR/rdf-sparql-query/.