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Publications

A

Journal

  1. Giunchiglia, F., Bagchi, M., & Das, S. (2024). From Knowledge Organization to Knowledge Representation and Back. Annals of Library and Information Studies,  71, 131-143

  2. Das, S., Bagchi, M., & Hussey, P. (2023). How To Teach Domain Ontology-based Knowledge Graph Construction? An Irish Experiment. Knowledge Organization, 50(3), 182-201.

  3. Das, S., & Hussey, P. (2023). "HL7-FHIR based ContSys Formal Ontology for Enabling Continuity of Care Data Interoperability." Journal of Personalized Medicine 13, no. 6 (2023) .

  4. Das, S., & Hussey, P. (2022). How ontology can be used to achieve semantic interoperability in healthcare. European Journal of Public Health, 32. 

  5. Staines, A., Hussey, P., & Das, S. (2022). Terminologies matter-the case of ICNP and SNOMED-CT. European Journal of Public Health, 32.

  6. Hussey, P., & Das, S. (2022). Case based approach to the application of standards and Interoperability in practice. European Journal of Public Health, 32.

  7. Das, S., Naskar, D., & Roy, S. (2022). Reorganizing Educational Institutional Domain using Faceted Ontological Principles. Knowledge Organization, 49(1), 6-21.

  8. Huang, L., Zhao, Y., Wang, B., Zhang, D., Zhang, R., Das, S., Bocca, S., & Giunchiglia, F. (2021). Property Based Semantic Similarity Criteria to Evaluate the Overlaps of Schemas. Algorithms, 14(8), 241. 

  9. Hussey, P., Das, S., Farrell, S., Ledger, L., & Spencer, A. (2021). A Knowledge Graph to Understand Nursing Big Data: Case Example for Guidance. Journal of Nursing Scholarship.

  10. Ghosh, S.S., Das, S. and Sunil Kumar Chatterjee.(2020). Human-centric Faceted Approach for Ontology Construction. Knowledge Organization, 47 (1).

  11. Naskar, D. & Das, S.(2019). HNS Ontology using Faceted Approach. Knowledge Organization, 46 (3).

  12. Ojha,S.R., Das,S., &Karanjit,S.(2018).AProcessOntology for a Confectionery Service Robot. International Journal of Semantic Computing, 12(01), 149-166. 

  13. Das,S., & Roy,S. (2016).Faceted Ontological Model for Brain Tumour Study. Knowledge Organization, 43(1). 

B

Conference

  1. Das, S., Naskar, D.,& Gonz´alez, S. R. (2024,No). CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability. The 25th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) in Valencia, Spain, November 20-22, 2024.  

  2. Naskar, D., Das, S., & Gonz´alez, S. R. (2024,No). Emotional Sequential Influence Modeling on False Information. The 25th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) in Valencia, Spain, November 20-22, 2024.  

  3. Bagchi, M, & Das, S. "Conceptually Disentangled Classificatory Ontologies." (2022). Proceedings of the 15th Seminar on Ontology Research in Brazil (ONTOBRAS), November 22-25, 2022. CEUR. 

  4. Das, S., & Hussey, P. (2022). FHIR based ContSys Ontology to Enable Continuity of Care Data Interoperability. In pHealth 2022 (pp. 139-144 ). IOS Press.

  5. Das, S., & Hussey, P. (2021). ContSOnto: A Formal Ontology for Continuity of Care. In pHealth 2021 (pp. 82-87). IOS Press.

  6. Bella, G., Elliot, L., Das, S., Pavis, S., Turra, E., Robertson, D., and Giunchiglia, F. (2020, June) Cross-Border Medical Research using Multi-Layered and Distributed Knowledge. In Proceedings of the 24th European Conference on Artificial Intelligence (ECAI). 

  7. Naskar, D., Onaindia, E., Rebollo, M., & Das, S. (2019, December). Modelling Emotion Dynamics on Twitter via Hidden Markov Model. In Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services (pp. 245-249).

  8. Das, S., Ojha, S.R.,& Giunchiglia,F. (2017,January). ATOM: Ontology Aware Transportation Model. In Semantic Computing (ICSC), 2017 IEEE 11th International Conference on (pp. 272- 273). IEEE.

  9. Giunchiglia,F., Ojha,S.R., & Das,S. (2017,January). SemUI: AKnowledge Driven Visualization Of Diversified Data. In Semantic Computing (ICSC), 2017 IEEE 11th International Conference on (pp. 234-241). IEEE.

  10. Karanjit,S., Ojha,S.R.,& Das,S. (2017,January).Process Ontology For Confectionery SweetBot. In Semantic Computing (ICSC), 2017 IEEE 11th International Conference on (pp. 378- 383). IEEE.

  11. Das, S. & Giunchiglia,F. (2016,October). GeoEtypes: Harmonizing Diversity in Geospatial Data. In OTM Confederated International Conferences" On the Move to Meaningful Internet Systems" (pp. 643-653). Springer International Publishing.

  12. Roy, S., & Das, S. (2015,January). Spatial data infrastructures:Its metadata andanalysis. In Emerging Trends and Technologies in Libraries and Information Services (ETTLIS), 2015 4th

C

Book Chapter

  1. Das, S and Hussey, P. (2021). Development of an Interoperable -Integrated Care Service Architectureÿ for Intellectual Disability Services: An Irish Case Study. In Frontiers of Data and Knowledge Management for Convergence of ICT, Healthcare, and Telecommunication Services. Springer, Cham.

  2. Burson, R., Conrad, D., Corrigan, C., Moran, K., Das, S., Spencer, A., & Hussey, P. (2021). Knowledge Networks in Nursing. In Introduction to Nursing Informatics (pp. 355-374). Springer, Cham.

D

Technical Report

  1. Gábor Bella, Subhashis Das, Simone Bocca, Paolo Bouquet, Stefano Dalmiani Mattia Fumagalli, Alessio Graziani, Francesco Torelli, Marcel Klötgen (2019, October). Design of the Data Mapper and Converter to FHIR - v1. https://www.interopehrate.eu/wp-content/uploads/2019/10/InteropEHRate-D5.9-Design-data-mapper-and-converter-to-FHIR-v1.pdf. InteropEHRate Technical Report number D5.9.

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