Oshani Seneviratne
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    • ✅ Introduction to Artificial Intelligence - Spring 2025
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    • Enhancing Web Spam Detection through a Blockchain-Enabled Crowdsourcing Mechanism
    • The Feasibility of a Smart Contract "Kill Switch"
    • Enhancing Biomedical Collaboration through Advanced Data Sharing Mechanisms
    • Fed-RD: Privacy-Preserving Federated Learning for Financial Crime Detection
    • LLM-Based Code Generation for Querying Temporal Tabular Financial Data
    • Smart Contracts, Smarter Payments: Innovating Cross Border Payments and Reporting Transactions
    • Transforming Personal Health AI: Integrating Knowledge and Causal Graphs with Large Language Models
    • Harnessing the Future of Computing: Opportunities, Challenges, and Innovations
    • Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies
    • Deciphering Crypto Twitter
    • Navigating the Chaos: The Sandbox Network Analysis
    • A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
    • Decentralized, Explainable, and Personalized Mental Health Monitoring
    • Effective Data Distillation for Tabular Datasets
    • Explanations of Symbolic Reasoning to Effect Patient Persuasion and Education
    • LLM-powered Preference Learning from Natural Language
    • Neurosymbolic Methods for Food Computing
    • Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing COVID-19 Mental Health Impact
    • Support and Scandals in GameFi DApps: A Network Analysis of The Sandbox Transactions
    • Towards Computable and Explainable Policies Using Semantic Web Standards
    • Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies
    • Semantics-based Framework for Incentivized Research Data Sharing
    • A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning
    • Accountable Bench-to-Bedside Data-Sharing Mechanism for Researchers
    • Assessing Scientific Contributions in Data Sharing Spaces
    • Challenges and Insights for US Initial Coin Offerings
    • Characterizing Common Quarterly Behaviors in DeFi Lending Protocols
    • Decentralization: The Future of Online Social Networking
    • Decentralized Data Collection via Swarm Contracts: Study on Crowd-Sourced Google Maps
    • Decentralized Framework for Collection and Secure Storage of Google Street View Data: Case Study
    • DeFi Survival Analysis: Insights into Risks and User Behaviors
    • DeFi Survival Analysis: Insights Into the Emerging Decentralized Financial Ecosystem
    • Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance
    • Enabling Data Interoperability for Decentralized, Smart, and Connected Health Applications
    • Explanation Ontology: A General-Purpose, Semantic Representation for Supporting User-Centered Explanations
    • Exploring the Use of Large Language Models for Generating Decision Logic and Smart Contracts for Healthcare Processes from Natural Text
    • Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes
    • Linking the World's Information: Essays on Tim Berners-Lee’s Invention of the World Wide Web
    • LLM-augmented Preference Learning from Natural Language
    • MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment
    • Personal health knowledge graph construction using Internet of Medical Things
    • PredictChain: Empowering Collaboration and Data Accessibility for AI in a Decentralized Blockchain-based Marketplace
    • Semantically Enabling Clinical Decision Support Recommendations
    • Tim Berners-Lee's Research at the Decentralized Information Group at MIT
    • Translating Clinical Decision Logic Within Knowledge Graphs to Smart Contracts
    • Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination
    • Web 3.0 Meets Web3: Exploring the Convergence of Semantic Web and Blockchain Technologies
    • Towards Smarter, Efficient and Trusted Insurance Marketplaces through Computable Contracts
    • Blockchain and IoT Enhanced Clinical Workflow
    • Blockchain for Social Good: Combating Misinformation on the Web with AI and Blockchain
    • Blockchain Interoperability Landscape
    • Collaboratively Learning Optimal Patient Outcomes Using Smart Contracts in Limited Data Settings
    • Data-driven Analysis of Remote Work in China during the COVID-19 Pandemic
    • Development of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes
    • Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change
    • Health Data Management for Internet of Medical Things
    • Incentivized Research Data Sharing, Reusing and Repurposing with Blockchain Technologies
    • Managing Collaborative Tasks within Heterogeneous Robotic Swarms using Swarm Contracts
    • Semantic Technologies for Clinically Relevant Personal Health Applications
    • Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses
    • Simplifying Complex Healthcare Needs With Blockchain and Internet of Medical Things
    • BlockIoT: Blockchain-based Health Data Integration using IoT Devices
    • Applying personal knowledge graphs to health
    • Blockchain-Based Mechanism for Robotic Cooperation Through Incentives: Prototype Application in Warehouse Automation
    • BlockIoT-RETEL: Blockchain and IoT Based Read-Execute-Transact-Erase-Loop Environment for Integrating Personal Health Data
    • Data Provenance and Accountability on the Web
    • Designing for AI Explainability in Clinical Context
    • Enhancing Clinical Relevance of Health Behavior Insights via Semantics
    • Healthy Food Recommendation and Explanation Generation using a Semantically-Enabled Framework
    • Identifying Ingredient Substitutions Using a Knowledge Graph of Food
    • Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
    • Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
    • Mobile App Development for the Semantic Web of Things with Punya
    • Personal Health Data Integration and Intelligence through Semantic Web and Blockchain Technologies
    • Personal health knowledge graph for clinically relevant diet recommendations
    • Provenance in Data Science
    • Rapid Prototyping of Mobile Apps for Clinical Research using Semantic Web Technologies.
    • Semantic Modeling for Food Recommendation Explanations
    • Smart Contracts Enabling Future of Work
    • The Punya Platform: Building Mobile Research Apps with Linked Data and Semantic Features
    • Towards a Framework for Data Excellence in Data-Centric AI: Lessons from the Semantic Web
    • A Descriptive Analysis of US Initial Coin Offerings
    • A Survey on Personal Health Knowledge Graphs
    • A Two-Step Framework for Parkinson’s Disease Classification: Using Multiple One-Way ANOVA on Speech Features and Decision Trees
    • Applying Learning and Semantics for Personalized Food Recommendations?
    • Directions for Explainable Knowledge-Enabled Systems
    • Explanation Ontology in Action: A Clinical Use-Case
    • Explanation Ontology: A Model of Explanations for User-Centered AI
    • Foundations of Explainable Knowledge-Enabled Systems
    • Knowledge Extraction of Cohort Characteristics in Research Publications
    • Semantic Graph Analysis to Combat Cryptocurrency Misinformation on the Web
    • Semantics-driven ingredient substitution in the FoodKG
    • Swarm Contracts: Smart Contracts in Robotic Swarms with Varying Agent Behavior
    • Reflections on Successful Research in Artificial Intelligence: An Interview with Yolanda Gil
    • Reflections on Successful Research in Artificial Intelligence: An Introduction
    • Reflections on the Ingredients for Success in AI Research: An Interview with Arvind Gupta
    • Visualization of provenance data
    • A Proposal for Account Recovery in Decentralized Applications
    • A Semantic Platform for Developing Data-Intensive Mobile Apps
    • Abductive Reasoning over Health Data and Clinical Guidelines
    • Automating Population Health Studies through Semantics and Statistics Semantic Statistics
    • Enabling Trust in Clinical Decision Support Recommendations through Semantics
    • FoodKG Enabled Q&A Application
    • FoodKG: A Semantics-driven Knowledge Graph for Food Recommendation
    • G-Prov: Provenance management for clinical practice guidelines
    • Improving Transparency of Clinical Guidelines Through Semantic Knowledge Representation and Reasoning
    • IoT Application Development Using MIT App Inventor To Collect and Analyze Sensor Data
    • Leveraging Standards Based Ontological Concepts in Distributed Ledgers: A Healthcare Smart Contract Example
    • Making Study Populations Visible through Knowledge Graphs
    • Making Study Populations Visible Through Knowledge Graphs
    • Making Study Populations Visible Through Knowledge Graphs
    • Modeling and Analyzing Cohort Descriptions in Research Studies
    • Ontology Aided Smart Contract Execution for Unexpected Situations
    • Ontology-Enabled Analysis of Study Populations
    • Ontology-Enabled Breast Cancer Characterization
    • Representing study populations in scientific literature in knowledge graphs
    • Strengthening Smart Contracts to Handle Unexpected Situations
    • G-PROV: A Provenance Encoding Structure for Guideline Evidence
    • Improving Identified Comorbidities using Semantically Annotated Disease Graph
    • Knowledge Integration for Disease Characterization: A Breast Cancer Example
    • Knowledge Representation and Reasoning for Breast Cancer
    • Ontology-enabled Breast Cancer Characterization.
    • Semantic Modeling of Cohort Descriptions in Research Studies
    • Making Computer Science Attractive to High School Girls with Computational Thinking Approaches: A Case Study
    • Augmenting Provenance Records with Trust in Enterprise Applications
    • Accountable Systems: Enabling Appropriate Use of Information on the Web
    • Developing Mobile Linked Data Applications
    • Enabling privacy through transparency
    • Democratizing mobile app development for disaster management
    • Policy Aware Geospatial Data
    • Augmenting the web with accountability
    • Policy Aware Social Miner
    • WebBox: Supporting Decentralised and Privacy-respecting Micro-sharing with Existing Web Standards
    • Usage Restriction Management for Accountable Data Transfer on the Web
    • HTTPA: Accountable HTTP
    • Remix Culture on the Web: A Survey of Content Reuse on Different User-Generated Content Websites
    • Detecting Creative Commons License Violations on Images on the World Wide Web
    • Framework for Policy Aware Reuse of Content on the WWW
    • On integration issues of site-specific apis into the web of data
    • Policy-Aware Content Reuse on the Web
    • Public Policy: Mashing-up Technology and Law
    • The Point of View Axis: Varying the Levels of Explanation Within a Generic RDF Data Browsing Environment
    • An Extensible Computer Vision Application for Blood Cell Recognition and Analysis
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    • Shaping the Web's Future with Decentralized Knowledge Graphs
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    • Incentivized Data Sharing
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Shaping the Web's Future with Decentralized Knowledge Graphs

Jul 24, 2024·
Oshani Seneviratne
Oshani Seneviratne
· 0 min read
Slides Video
Abstract
What are decentralized knowledge graphs? How will they influence the Web and how has the Web influenced them?
Event
World Wide Web Day organized by the IEEE Women in Engineering Student Branch Affinity Group of the University of Jaffna
Location

Virtual

Last updated on Jul 24, 2024
Oshani Seneviratne
Authors
Oshani Seneviratne
Assistant Professor in Computer Science

© 2025 Oshani Seneviratne. This work is licensed under CC BY NC ND 4.0

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