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Oshani Seneviratne

Oshani Wasana Seneviratne

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affiliation: Rensselaer Polytechnic Institute, Troy, NY, USA
affiliation (former): Massachusetts Institute of Technology, Cambridge, MA, USA

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Books and Theses

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2014
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Oshani Wasana Seneviratne:
Accountable systems: enabling appropriate use of information on the Web. Massachusetts Institute of Technology, Cambridge, MA, USA, 2014

Journal Articles

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2024
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Aaron M. Green, Michael P. Giannattasio, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett:
DeFi Survival Analysis: Insights Into the Emerging Decentralized Financial Ecosystem. Distributed Ledger Technol. Res. Pract. 3(1): 4:1-4:23 (2024)
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Sabrina Kirrane, Oshani Seneviratne, Michel Dumontier:
Editorial of the special issue on semantic technologies for data and algorithmic governance. Semantic Web 15(3): 643-645 (2024)
2023
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Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigöz, Mohamed F. Ghalwash, Oshani Seneviratne, Fernando J. Suarez Saiz, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness:
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. Artif. Intell. Medicine 137: 102498 (2023)
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Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Jamie P. McCusker, Jade S. Franklin, Miao Qi, Kristin P. Bennett, Ching-Hua Chen, James A. Hendler, Deborah L. McGuinness:
Semantically enabling clinical decision support recommendations. J. Biomed. Semant. 14(1): 8 (2023)
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Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third, Maria-Esther Vidal:
Trust, Accountability, and Autonomy in Knowledge Graph-Based AI for Self-Determination. TGDK 1(1): 9:1-9:32 (2023)
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Oshani Seneviratne, Kacy Adams, Deborah L. McGuinness:
Accountable Bench-to-Bedside Data-Sharing Mechanism for Researchers. ACM Trans. Soc. Comput. 6(3-4): 1-23 (2023)
2020
[j5]
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Sola S. Shirai, Oshani Seneviratne, Minor Gordon, Ching-Hua Chen, Deborah L. McGuinness:
Identifying Ingredient Substitutions Using a Knowledge Graph of Food. Frontiers Artif. Intell. 3: 621766 (2020)
2019
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Ching-Hua Chen, James A. Hendler, Sabbir M. Rashid, Oshani Seneviratne, Daby Sow, Biplav Srivastava:
Reflections on Successful Research in Artificial Intelligence: An Introduction. AI Mag. 40(4): 3-5 (2019)
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Yolanda Gil, Biplav Srivastava, Ching-Hua Chen, Oshani Seneviratne:
Reflections on Successful Research in Artificial Intelligence: An Interview with Yolanda Gil. AI Mag. 40(4): 6-8 (2019)
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Arvind Gupta, Biplav Srivastava, Daby Sow, Ching-Hua Chen, Oshani Seneviratne:
Reflections on the Ingredients for Success in AI Research: An Interview with Arvind Gupta. AI Mag. 40(4): 24-27 (2019)
2015
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Nitin Agarwal, Sean Andrist, Dan Bohus, Fei Fang, Laurie Fenstermacher, Lalana Kagal, Takashi Kido, Christopher Kiekintveld, William F. Lawless, Huan Liu, Andrew McCallum, Hemant Purohit, Oshani Seneviratne, Keiki Takadama, Gavin Taylor:
Reports on the 2015 AAAI Spring Symposium Series. AI Mag. 36(3): 113-119 (2015)

Conference and Workshop Papers

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2024
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Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne:
Effective Data Distillation for Tabular Datasets (Student Abstract). AAAI 2024: 23533-23534
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Fernando Spadea, Oshani Seneviratne:
Support and Scandals in GameFi dApps: A Network Analysis of The Sandbox Transactions. DAPPS 2024: 35-44
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Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, Oshani Seneviratne:
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. DAPPS 2024: 86-92
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Fernando Spadea, Oshani Seneviratne:
Navigating the Chaos: The Sandbox Network Analysis. WebSci (Companion) 2024: 10-11
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Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders, Yao Ma, Thilanka Munasinghe, Aparna Gupta, Oshani Seneviratne:
Deciphering Crypto Twitter. WebSci 2024: 331-342
2023
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Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron M. Green, Oshani Seneviratne:
Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. IEEE Big Data 2023: 4290-4299
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Oshani Seneviratne:
Enabling Data Interoperability for Decentralized, Smart, and Connected Health Applications. CHASE 2023: 214-215
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Sabbir M. Rashid, Jamie P. McCusker, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness:
A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning. ESWC 2023: 390-407
[c58]
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Oshani Seneviratne, Deborah L. McGuinness:
Web 3.0 Meets Web3: Exploring the Convergence of Semantic Web and Blockchain Technologies. ESWC Workshops 2023
[c57]
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William Van Woensel, Manan Shukla, Oshani Seneviratne:
Translating Clinical Decision Logic Within Knowledge Graphs to Smart Contracts. SeWeBMeDA@ESWC 2023
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Kacy Adams, Deborah L. McGuinness, Oshani Seneviratne:
Semantics-based Framework for Incentivized Research Data Sharing. FLAIRS 2023
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Aaron Green, Michael P. Giannattasio, Keran Wang, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett:
Characterizing Common Quarterly Behaviors in DeFi Lending Protocols. MARBLE 2023: 62-77
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Kacy Adams, Fernando Spadea, Conor Flynn, Oshani Seneviratne:
Assessing Scientific Contributions in Data Sharing Spaces. WWW (Companion Volume) 2023: 826-833
2022
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William Van Woensel, Floriano Scioscia, Giuseppe Loseto, Oshani Seneviratne, Evan W. Patton, Samina Abidi, Lalana Kagal:
Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change. AIME 2022: 57-62
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Manan Shukla, Jianjing Lin, Oshani Seneviratne:
Blockchain and IoT Enhanced Clinical Workflow. AIME 2022: 407-411
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Evan W. Patton, William Van Woensel, Oshani Seneviratne, Giuseppe Loseto, Floriano Scioscia, Lalana Kagal:
Development of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes. AIME 2022: 431-435
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  - conf/bigdataconf/GridleyS22
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Jared Gridley, Oshani Seneviratne:
Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses. IEEE Big Data 2022: 903-910
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Inwon Kang, Aparna Gupta, Oshani Seneviratne:
Blockchain Interoperability Landscape. IEEE Big Data 2022: 3191-3200
[c48]
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Manan Shukla, Jianjing Lin, Oshani Seneviratne:
Collaboratively Learning Optimal Patient Outcomes Using Smart Contracts in Limited Data Settings. CHASE 2022: 133-137
[c47]
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Oshani Seneviratne, Deborah L. McGuinness:
Incentivized Research Data Sharing, Reusing and Repurposing with Blockchain Technologies. HICSS 2022: 1-10
[c46]
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Yufei Wu, Thilanka Munasinghe, Lydia Manikonda, Oshani Seneviratne:
Data-driven Analysis of Remote Work in China during the COVID-19 Pandemic. HICSS 2022: 1-10
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Aaron M. Green, Christopher Cammilleri, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett:
DeFi Survival Analysis: Insights into Risks and User Behaviors. MARBLE 2022: 127-141
[c44]
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Oshani Seneviratne:
Blockchain for Social Good: Combating Misinformation on the Web with AI and Blockchain. WebSci 2022: 435-442
2021
[c43]
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Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed F. Ghalwash, Daniel M. Gruen, Daby Sow, Deborah L. McGuinness:
Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology. AMIA 2021
[c42]
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Jonathan J. Harris, Deborah L. McGuinness, Marco Monti, Oshani Seneviratne, Mohammed J. Zaki, Ching-Hua Chen:
Enhancing Clinical Relevance of Health Behavior Insights via Semantics. AMIA 2021
[c41]
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Manan Shukla, Jianjing Lin, Oshani Seneviratne:
BlockIoT: Blockchain-based Health Data Integration using IoT Devices. AMIA 2021
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Manan Shukla, Jianjing Lin, Oshani Seneviratne:
BlockIoT-RETEL: Blockchain and IoT Based Read-Execute-Transact-Erase-Loop Environment for Integrating Personal Health Data. Blockchain 2021: 237-243
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Jonathan Grey, Oshani Seneviratne, Isuru S. Godage:
Blockchain-Based Mechanism for Robotic Cooperation Through Incentives: Prototype Application in Warehouse Automation. Blockchain 2021: 597-604
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Ishita Padhiar, Oshani Seneviratne, Shruthi Chari, Dan Gruen, Deborah L. McGuinness:
Semantic Modeling for Food Recommendation Explanations. ICDE Workshops 2021: 13-19
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Ying Ding, Bogdan G. Arsintescu, Ching-Hua Chen, Haoyun Feng, François Scharffe, Oshani Seneviratne, Juan Sequeda:
International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications. KDD 2021: 4121-4122
[c36]
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Giuseppe Loseto, Evan W. Patton, Oshani Seneviratne, William Van Woensel, Floriano Scioscia, Lalana Kagal:
Mobile App Development for the Semantic Web of Things with Punya. ISWC (Posters/Demos/Industry) 2021
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Evan W. Patton, William Van Woensel, Oshani Seneviratne, Giuseppe Loseto, Floriano Scioscia, Lalana Kagal:
The Punya Platform: Building Mobile Research Apps with Linked Data and Semantic Features. ISWC 2021: 563-579
[c34]
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Oshani Seneviratne, William Van Woensel, Giuseppe Loseto, Floriano Scioscia, Evan W. Patton, Lalana Kagal:
Rapid Prototyping of Mobile Apps for Clinical Research using Semantic Web Technologies. ISWC (Posters/Demos/Industry) 2021
[c33]
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Sola S. Shirai, Oshani Seneviratne, Ching-Hua Chen, Daniel M. Gruen, Deborah L. McGuinness:
Healthy Food Recommendation and Explanation Generation using a Semantically-Enabled Framework. ISWC (Posters/Demos/Industry) 2021
2020
[c32]
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Gaurang Prasad, Thilanka Munasinghe, Oshani Seneviratne:
A Two-Step Framework for Parkinson's Disease Classification: Using Multiple One-Way ANOVA on Speech Features and Decision Trees. AI4SG@AAAI Fall Symposium 2020
[c31]
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Jay D. S. Franklin, Shruthi Chari, Morgan Foreman, Oshani Seneviratne, Daniel M. Gruen, Jamie P. McCusker, Amar K. Das, Deborah L. McGuinness:
Knowledge Extraction of Cohort Characteristics in Research Publications. AMIA 2020
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Jonathan Grey, Isuru S. Godage, Oshani Seneviratne:
Swarm Contracts: Smart Contracts in Robotic Swarms with Varying Agent Behavior. Blockchain 2020: 265-272
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Aparna Gupta, Jyothsna Harithsa, Oshani Seneviratne:
A Descriptive Analysis of US Initial Coin Offerings. BRAINS 2020: 144-151
[c28]
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Daniel Kazenoff, Oshani Seneviratne, Deborah L. McGuinness:
Semantic Graph Analysis to Combat Cryptocurrency Misinformation on the Web. ASLD@ISWC 2020: 168-176
[c27]
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Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen, Morgan A. Foreman, Amar K. Das, Deborah L. McGuinness:
Explanation Ontology: A Model of Explanations for User-Centered AI. ISWC (2) 2020: 228-243
[c26]
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Sola S. Shirai, Oshani Seneviratne, Minor Gordon, Ching-Hua Chen, Deborah L. McGuinness:
Semantics-Driven Ingredient Substitution in the FoodKG. ISWC (Demos/Industry) 2020: 242-247
[c25]
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Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen, Morgan A. Foreman, Amar K. Das, Deborah L. McGuinness:
Explanation Ontology in Action: A Clinical Use-Case. ISWC (Demos/Industry) 2020: 290-295
[c24]
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Nidhi Rastogi, Oshani Seneviratne, Dan Gruen, Ching-Hua Chen, Yu Chen, Jon Harris, Diya Li, Ananya Subburathinam, Ruisi Jian, Megan Goulet, Yuheng Zhou, Osama Minhas, Jared Okun, Aaron Hill:
Applying Learning and Semantics for Personalized Food Recommendations. ISWC (Demos/Industry) 2020: 305-310
[c23]
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Oshani Seneviratne, Silke Roth:
Introduction to WebSci'20 Workshops. WebSci (Companion) 2020: 1-2
2019
[c22]
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Thilanka Munasinghe, Evan W. Patton, Oshani Seneviratne:
IoT Application Development Using MIT App Inventor to Collect and Analyze Sensor Data. IEEE BigData 2019: 6157-6159
[c21]
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Yanlin Zhu, Lirong Xia, Oshani Seneviratne:
A Proposal for Account Recovery in Decentralized Applications. Blockchain 2019: 148-155
[c20]
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Mengyi Li, Lirong Xia, Oshani Seneviratne:
Leveraging Standards Based Ontological Concepts in Distributed Ledgers: A Healthcare Smart Contract Example. DAPPCON 2019: 152-157
[c19]
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Shuze Liu, Farhad Mohsin, Lirong Xia, Oshani Seneviratne:
Strengthening Smart Contracts to Handle Unexpected Situations. DAPPCON 2019: 182-187
[c18]
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WeiHua James Li, Oshani Seneviratne, Evan W. Patton, Lalana Kagal:
A Semantic Platform for Developing Data-Intensive Mobile Apps. ICSC 2019: 71-78
[c17]
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Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness:
Making Study Populations Visible Through Knowledge Graphs. ISWC (2) 2019: 53-68
[c16]
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Nkechinyere N. Agu, Neha Keshan, Shruthi Chari, Oshani Seneviratne, Jamie P. McCusker, Deborah L. McGuinness:
G-PROV: Provenance Management for Clinical Practice Guidelines. SeWeBMeDa@ISWC 2019: 68-75
[c15]
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Farhad Mohsin, Xingjian Zhao, Zhuo Hong, Geeth de Mel, Lirong Xia, Oshani Seneviratne:
Ontology Aided Smart Contract Execution for Unexpected Situations. BlockSW/CKG@ISWC 2019
[c14]
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Alexander New, Miao Qi, Shruthi Chari, Sabbir M. Rashid, Oshani Seneviratne, Jamie P. McCusker, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett:
Automating Population Health Studies Through Semantics and Statistics. SAWSemStats@ISWC 2019
[c13]
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Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Ching-Hua Chen, Jamie P. McCusker, James A. Hendler, Deborah L. McGuinness:
Enabling Trust in Clinical Decision Support Recommendations through Semantics. SeWeBMeDa@ISWC 2019: 55-67
[c12]
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Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness:
Ontology-enabled Analysis of Study Populations. ISWC (Satellites) 2019: 117-120
[c11]
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Steven Haussmann, Oshani Seneviratne, Yu Chen, Yarden Ne'eman, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki:
FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. ISWC (2) 2019: 146-162
[c10]
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Steven Haussmann, Yu Chen, Oshani Seneviratne, Nidhi Rastogi, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki:
FoodKG Enabled Q&A Application. ISWC (Satellites) 2019: 273-276
2018
[c9]
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Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness:
Knowledge Integration for Disease Characterization: A Breast Cancer Example. ISWC (2) 2018: 223-238
[c8]
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Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, Jim Hendler, Deborah L. McGuinness:
Ontology-enabled Breast Cancer Characterization. ISWC (P&D/Industry/BlueSky) 2018
2014
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Oshani Seneviratne, Lalana Kagal:
Enabling privacy through transparency. PST 2014: 121-128
[c6]
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Oshani Seneviratne, Evan W. Patton, Daniela Miao, Fuming Shih, Weihua Li, Lalana Kagal, Carlos Castillo:
Developing Mobile Linked Data Applications. ISWC (Posters & Demos) 2014: 169-172
2013
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Fuming Shih, Oshani Seneviratne, Ilaria Liccardi, Evan W. Patton, Patrick Meier, Carlos Castillo:
Democratizing mobile app development for disaster management. AIIP/Semantic Cities@IJCAI 2013: 39-42
2012
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Sharon Paradesi, Oshani Seneviratne, Lalana Kagal:
Policy Aware Social Miner. IEEE Symposium on Security and Privacy Workshops 2012: 53-59
[c3]
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Oshani Wasana Seneviratne:
Augmenting the web with accountability. WWW (Companion Volume) 2012: 185-190
2011
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Oshani Seneviratne, Lalana Kagal:
Addressing Data Reuse Issues at the Protocol Level. POLICY 2011: 141-144
2009
[c1]
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Oshani Seneviratne, Lalana Kagal, Tim Berners-Lee:
Policy-Aware Content Reuse on the Web. ISWC 2009: 553-568

Parts in Books or Collections

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2023
[p6]
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Oshani Seneviratne:
Utopia to Dystopia and Back Again? Linking the World's Information 2023: 15-50
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Ching-man Au Yeung, Ilaria Liccardi, Kanghao Lu, Oshani Seneviratne, Tim Berners-Lee:
Decentralization: The Future of Online Social Networking. Linking the World's Information 2023: 187-199
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Oshani Seneviratne, Amy van der Hiel, Lalana Kagal:
Tim Berners-Lee's Research at the Decentralized Information Group at MIT. Linking the World's Information 2023: 201-213
2020
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Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness:
Foundations of Explainable Knowledge-Enabled Systems. Knowledge Graphs for eXplainable Artificial Intelligence 2020: 23-48
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Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness:
Directions for Explainable Knowledge-Enabled Systems. Knowledge Graphs for eXplainable Artificial Intelligence 2020: 245-261
2017
[p1]
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Oshani Seneviratne:
Making Computer Science Attractive to High School Girls with Computational Thinking Approaches: A Case Study. Emerging Research, Practice, and Policy on Computational Thinking 2017: 21-32

Editorship

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2024
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Luca Maria Aiello, Yelena Mejova, Oshani Seneviratne, Jun Sun, Sierra Kaiser, Steffen Staab:
Proceedings of the 16th ACM Web Science Conference, WEBSCI 2024, Stuttgart, Germany, May 21-24, 2024. ACM 2024 [contents]
2023
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Oshani Seneviratne, James A. Hendler:
Linking the World's Information - Essays on Tim Berners-Lee's Invention of the World Wide Web. ACM Books 52, ACM 2023, ISBN 979-8-4007-0794-0 [contents]
2022
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Olaf Hartig, Oshani Seneviratne:
Proceedings of the Doctoral Consortium at ISWC 2022 co-located with 21st International Semantic Web Conference (ISWC 2022), Hangzhou, China, October 24, 2022. CEUR Workshop Proceedings 3165, CEUR-WS.org 2022 [contents]
2021
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Hemant Purohit, Oshani Seneviratne, Muhammad Aurangzeb Ahmad:
Proceedings of the AAAI Fall Symposium on AI for Social Good, Virtual Symposium, November 13-14, 2020. CEUR Workshop Proceedings 2884, CEUR-WS.org 2021 [contents]
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Oshani Seneviratne, Catia Pesquita, Juan Sequeda, Lorena Etcheverry:
Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 20th International Semantic Web Conference (ISWC 2021), Virtual Conference, October 24-28, 2021. CEUR Workshop Proceedings 2980, CEUR-WS.org 2021 [contents]
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Oshani Seneviratne, Vivek Singh, Ana Freire, Jar-der Luo:
WebSci '21: 13th ACM Web Science Conference 2021, Virtual Event, United Kingdom, 21-25 June, 2021, Companion Publication. ACM 2021, ISBN 978-1-4503-8525-1 [contents]
2020
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Jeff Z. Pan, Valentina A. M. Tamma, Claudia d'Amato, Krzysztof Janowicz, Bo Fu, Axel Polleres, Oshani Seneviratne, Lalana Kagal:
The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12506, Springer 2020, ISBN 978-3-030-62418-7 [contents]
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Jeff Z. Pan, Valentina A. M. Tamma, Claudia d'Amato, Krzysztof Janowicz, Bo Fu, Axel Polleres, Oshani Seneviratne, Lalana Kagal:
The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12507, Springer 2020, ISBN 978-3-030-62465-1 [contents]

Informal and Other Publications

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2024
[i28]
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David Fong, Tianshu Chu, Matthew Heflin, Xiaosi Gu, Oshani Seneviratne:
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19. CoRR abs/2403.06033 (2024)
[i27]
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Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders, Yao Ma, Thilanka Munasinghe, Aparna Gupta, Oshani Seneviratne:
Deciphering Crypto Twitter. CoRR abs/2403.06036 (2024)
[i26]
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Inwon Kang, William Van Woensel, Oshani Seneviratne:
Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies. CoRR abs/2407.07019 (2024)
[i25]
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Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, Oshani Seneviratne:
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. CoRR abs/2407.07054 (2024)
[i24]
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Fernando Spadea, Oshani Seneviratne:
Support and Scandals in GameFi dApps: A Network Analysis of The Sandbox Transactions. CoRR abs/2407.07138 (2024)
[i23]
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Oshani Seneviratne:
The Feasibility of a Smart Contract "Kill Switch". CoRR abs/2407.10302 (2024)
[i22]
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Maruf Ahmed Mridul, Kaiyang Chang, Aparna Gupta, Oshani Seneviratne:
Smart Contracts, Smarter Payments: Innovating Cross Border Payments and Reporting Transactions. CoRR abs/2407.19283 (2024)
[i21]
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Md. Saikat Islam Khan, Aparna Gupta, Oshani Seneviratne, Stacy Patterson:
Fed-RD: Privacy-Preserving Federated Learning for Financial Crime Detection. CoRR abs/2408.01609 (2024)
2023
[i20]
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Jared Gridley, Oshani Seneviratne:
Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses. CoRR abs/2301.01809 (2023)
[i19]
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  - journals/corr/abs-2302-05752
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Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigöz, Mohamed F. Ghalwash, Oshani Seneviratne, Fernando J. Suarez Saiz, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness:
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. CoRR abs/2302.05752 (2023)
[i18]
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  - journals/corr/abs-2303-10476
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Kacy Adams, Fernando Spadea, Conor Flynn, Oshani Seneviratne:
Assessing Scientific Contributions in Data Sharing Spaces. CoRR abs/2303.10476 (2023)
[i17]
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  - journals/corr/abs-2307-04777
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Manan Shukla, Oshani Seneviratne:
MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment. CoRR abs/2307.04777 (2023)
[i16]
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  - journals/corr/abs-2307-15168
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Matthew T. Pisano, Connor J. Patterson, Oshani Seneviratne:
PredictChain: Empowering Collaboration and Data Accessibility for AI in a Decentralized Blockchain-based Marketplace. CoRR abs/2307.15168 (2023)
[i15]
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  - journals/corr/abs-2310-08523
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Inwon Kang, Sikai Ruan, Tyler Ho, Jui-Chien Lin, Farhad Mohsin, Oshani Seneviratne, Lirong Xia:
LLM-augmented Preference Learning from Natural Language. CoRR abs/2310.08523 (2023)
[i14]
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Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third, Maria-Esther Vidal:
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination. CoRR abs/2310.19503 (2023)
[i13]
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  - journals/corr/abs-2311-02272
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Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron M. Green, Oshani Seneviratne:
Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. CoRR abs/2311.02272 (2023)
2022
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Inwon Kang, Aparna Gupta, Oshani Seneviratne:
Blockchain Interoperability Landscape. CoRR abs/2212.09227 (2022)
2021
[i11]
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  - journals/corr/abs-2104-07587
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Sola S. Shirai, Oshani Seneviratne, Deborah L. McGuinness:
Applying Personal Knowledge Graphs to Health. CoRR abs/2104.07587 (2021)
[i10]
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  - journals/corr/abs-2105-01269
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Ishita Padhiar, Oshani Seneviratne, Shruthi Chari, Daniel M. Gruen, Deborah L. McGuinness:
Semantic Modeling for Food Recommendation Explanations. CoRR abs/2105.01269 (2021)
[i9]
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  - journals/corr/abs-2107-02359
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Shruthi Chari, Prithwish Chakraborty, Mohamed F. Ghalwash, Oshani Seneviratne, Elif K. Eyigöz, Daniel M. Gruen, Fernando J. Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness:
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. CoRR abs/2107.02359 (2021)
[i8]
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  - journals/corr/abs-2110-10123
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Manan Shukla, Jianjing Lin, Oshani Seneviratne:
BlockIoT: Blockchain-based Health Data Integration using IoT Devices. CoRR abs/2110.10123 (2021)
[i7]
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  - journals/corr/abs-2110-10131
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Oshani Seneviratne, Jonathan J. Harris, Ching-Hua Chen, Deborah L. McGuinness:
Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations. CoRR abs/2110.10131 (2021)
2020
[i6]
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  - journals/corr/abs-2003-07520
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Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness:
Foundations of Explainable Knowledge-Enabled Systems. CoRR abs/2003.07520 (2020)
[i5]
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Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness:
Directions for Explainable Knowledge-Enabled Systems. CoRR abs/2003.07523 (2020)
[i4]
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  - journals/corr/abs-2010-01478
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Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen, Morgan A. Foreman, Amar K. Das, Deborah L. McGuinness:
Explanation Ontology in Action: A Clinical Use-Case. CoRR abs/2010.01478 (2020)
[i3]
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Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen, Morgan A. Foreman, Amar K. Das, Deborah L. McGuinness:
Explanation Ontology: A Model of Explanations for User-Centered AI. CoRR abs/2010.01479 (2020)
2019
[i2]
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  - journals/corr/abs-1907-04358
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Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness:
Making Study Populations Visible through Knowledge Graphs. CoRR abs/1907.04358 (2019)
2018
[i1]
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  - journals/corr/abs-1807-07991
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Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness:
Knowledge Integration for Disease Characterization: A Breast Cancer Example. CoRR abs/1807.07991 (2018)

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