Aghaei, S., Masoudi, S., Chhetri, T. R., & Fensel, A. (2022). Question answering over knowledge graphs: a graph-driven approach. 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (pp. 296–302). doi:10.1109/WI-IAT55865.2022.00050

Dehury, C. K., Srirama, S. N., & Chhetri, T. R. (2020). Ccodamic: a framework for coherent coordination of data migration and computation platforms. Future Generation Computer Systems, 109, 1-16. URL: https://www.sciencedirect.com/science/article/pii/S0167739X19330924, doi:https://doi.org/10.1016/j.future.2020.03.029

Chhetri, T. R., Dehury, C. K., Lind, A., Srirama, S. N., & Fensel, A. (2022). A combined system metrics approach to cloud service reliability using artificial intelligence. Big Data and Cognitive Computing, 6(1). URL: https://www.mdpi.com/2504-2289/6/1/26, doi:10.3390/bdcc6010026

Tauqeer, A., Kurteva, A., Chhetri, T. R., Ahmeti, A., & Fensel, A. (2022). Automated gdpr contract compliance verification using knowledge graphs. Information, 13(10). URL: https://www.mdpi.com/2078-2489/13/10/447, doi:10.3390/info13100447

Chhetri, T. R., Kurteva, A., Adigun, J. G., & Fensel, A. (2022). Knowledge graph based hard drive failure prediction. Sensors, 22(3). URL: https://www.mdpi.com/1424-8220/22/3/985, doi:10.3390/s22030985

Kurteva, A., Chhetri, T. R., Pandit, H. J., & Fensel, A. (2024). Consent through the lens of semantics: state of the art survey and best practices. Semantic Web, 15(3), 647-673. URL: https://journals.sagepub.com/doi/abs/10.3233/SW-210438, arXiv:https://journals.sagepub.com/doi/pdf/10.3233/SW-210438, doi:10.3233/SW-210438

Chhetri, T. R. (2025). Improving Decision Making Using Semantic Web Technologies. Cham: Springer.

Mihindukulasooriya, N., Tiwari, S., Dobriy, D., Nielsen, F. Å., Chhetri, T. R., & Polleres, A. (2025). Alam, M., Rospocher, M., van Erp, M., Hollink, L., & Gesese, G. A. (Eds.). Scholarly wikidata: population and exploration of conference data in wikidata using llms. Knowledge Engineering and Knowledge Management (pp. 243–259). Cham: Springer Nature Switzerland.

Chhetri, T. R., Hohenegger, A., Fensel, A., Kasali, M. A., & Adekunle, A. A. (2023). Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: a study on cassava disease. Expert Systems with Applications, 233, 120955. URL: https://www.sciencedirect.com/science/article/pii/S0957417423014574, doi:https://doi.org/10.1016/j.eswa.2023.120955

Chhetri, T. R., Dehury, C. K., Varghese, B., Fensel, A., Srirama, S. N., & DeLong, R. J. (2024). Enabling privacy-aware interoperable and quality iot data sharing with context. Future Generation Computer Systems, 157, 164-179. URL: https://www.sciencedirect.com/science/article/pii/S0167739X24001109, doi:https://doi.org/10.1016/j.future.2024.03.039