publications

Discover the list of the publications.
Scholarly Wikidata: Population and Exploration of Conference Data in Wikidata using LLMs

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.

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Enabling privacy-aware interoperable and quality IoT data sharing with context

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. URL: https://www.sciencedirect.com/science/article/pii/S0167739X24001109, doi:https://doi.org/10.1016/j.future.2024.03.039

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End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles

Gu, J., Lind, A., Chhetri, T. R., Bellone, M., & Sell, R. (2023 , Jul). End-to-end multimodal sensor dataset collection framework for autonomous vehicles. Sensors, 23(15), 6783. URL: http://dx.doi.org/10.3390/s23156783, doi:10.3390/s23156783

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Towards Improving Prediction Accuracy and User-Level Explainability Using Deep Learning and Knowledge Graphs: A Study on Cassava Disease

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

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The smashHitCore ontology for GDPR-compliant sensor data sharing in smart cities

Kurteva, A., Chhetri, T. R., Tauqeer, A., Hilscher, R., Fensel, A., Nagorny, K., … Demidova, E. (2023). The smashhitcore ontology for gdpr-compliant sensor data sharing in smart cities. Sensors. doi:https://doi.org/10.3390/s23136188

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Question answering over knowledge graphs: a graph-driven approach

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

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Optimising Manufacturing Process with Bayesian Structure Learning and Knowledge Graphs

Chhetri, T. R., Aghaei, S., Fensel, A., Göhner, U., Gül-Ficici, S., & Martinez-Gil, J. (2022). Moreno-Díaz, R., Pichler, F., & Quesada-Arencibia, A. (Eds.). Optimising manufacturing process with bayesian structure learning and knowledge graphs. Computer Aided Systems Theory – EUROCAST 2022 (pp. 594–602). Cham: Springer Nature Switzerland.

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Data Protection by Design Tool for Automated GDPR Compliance Verification Based on Semantically Modeled Informed Consent

Chhetri, T. R., Kurteva, A., DeLong, R. J., Hilscher, R., Korte, K., & Fensel, A. (2022). Data protection by design tool for automated gdpr compliance verification based on semantically modeled informed consent. Sensors, 22(7). URL: https://www.mdpi.com/1424-8220/22/7/2763, doi:10.3390/s22072763

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A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence (Editor's Choice)

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

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Knowledge Graph Based Hard Drive Failure Prediction

Chhetri, T. R., Kurteva, A., Adigun, J. G., & Fensel, A. (2022 , Jan). Knowledge graph based hard drive failure prediction. Sensors, 22(3), 985. URL: http://dx.doi.org/10.3390/s22030985, doi:10.3390/s22030985

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Towards Reusable Ontology Alignment for Manufacturing Maintenance

Kainzner, M., Klösch, C., Filipiak, D., Chhetri, Tek Raj, Fensel, A., & Martinez-Gil, J. (2021 , September). Towards reusable ontology alignment for manufacturing maintenance. CEUR workshop proceedings series (Vol-2941). Amsterdam, the Netherlands: SEMANTiCS 2021 EU. URL: http://ceur-ws.org/Vol-2941/paper9.pdf

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Consent through the lens of semantics: State of the art survey and best practices

Kurteva, A., Chhetri, T. R., Pandit, H. J., & Fensel, A. (2021). Consent through the lens of semantics: state of the art survey and best practices. Semantic Web, Preprint, 1-27. Preprint. URL: https://doi.org/10.3233/SW-210438, doi:10.3233/SW-210438

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Improving Decision Making Using Semantic Web Technologies

Chhetri, T. R. (2021). Verborgh, R., Dimou, A., Hogan, A., d'Amato, C., Tiddi, I., Bröring, A., … Alam, M. (Eds.). Improving decision making using semantic web technologies. The Semantic Web: ESWC 2021 Satellite Events (pp. 165–175). Cham: Springer International Publishing.

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Range Sensor Overview and Blind-Zone Reduction of Autonomous Vehicle Shuttles

Gu, J., & Chhetri, T. R. (2021 , may). Range sensor overview and blind-zone reduction of autonomous vehicle shuttles. IOP Conference Series: Materials Science and Engineering, 1140(1), 012006. URL: https://doi.org/10.1088/1757-899x/1140/1/012006, doi:10.1088/1757-899x/1140/1/012006

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CCoDaMiC: A framework for Coherent Coordination of Data Migration and Computation platforms

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

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