A5027850521- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- IoT and Edge/Fog Computing
- Big Data and Business Intelligence
- Advanced Database Systems and Queries
- Scientific Computing and Data Management
- Peer-to-Peer Network Technologies
- Mobile Crowdsensing and Crowdsourcing
- Context-Aware Activity Recognition Systems
- Advanced Image and Video Retrieval Techniques
- Green IT and Sustainability
- Blockchain Technology Applications and Security
- Topic Modeling
- Caching and Content Delivery
- Data Management and Algorithms
- Natural Language Processing Techniques
- Cloud Computing and Resource Management
- Privacy-Preserving Technologies in Data
- Data Stream Mining Techniques
- Distributed and Parallel Computing Systems
- Business Process Modeling and Analysis
- Innovative Approaches in Technology and Social Development
- Smart Cities and Technologies
- Personal Information Management and User Behavior
Ollscoil na Gaillimhe – University of Galway
2016-2025
Trials Methodology Research Network
2025
Ibb University
2022
National University of Ireland
2012-2021
Informa (Italy)
2021
National University of Ireland, Maynooth
2021
Insight (China)
2016-2020
Gdańsk University of Technology
2020
University of London
2019
University of Ottawa
2019
In the era of data-driven healthcare, amalgamation blockchain and Federated Learning (FL) introduces a paradigm shift towards secure, collaborative, patient-centric data-sharing. This paper pioneers exploration conceptual framework technical synergy FL for decentralized data-sharing, aiming to strike balance between data utility privacy. FL, machine learning paradigm, enables collaborative AI model training across multiple healthcare institutions without sharing raw patient data. Combined...
Open Data initiatives are increasingly considered as defining elements of emerging smart cities. However, few studies have attempted to provide a better understanding the nature this convergence and impact on both domains. This paper presents findings from detailed study 18 open data across five cities -- Barcelona, Chicago, Manchester, Amsterdam, Helsinki. Specifically, sought understand how shaped by different contexts concomitantly what kinds innovations enabled in these The highlight...
Researchers estimate that information and communication technology (ICT) is responsible for at least 2 percent of global greenhouse gas (GHG) emissions. Furthermore, in any individual business, ICT a much higher percentage business's GHG footprint. Yet researchers also can provide business solutions to reduce its footprint fivefold. However, because the field new evolving, few guidelines best practices are available. To address this issue, consortium leading organizations from industry,...
The growing number of datasets published on the Web as linked data brings both opportunities for high availability and challenges inherent to querying in a semantically heterogeneous distributed environment. Approaches used siloed databases fail at Web-scale because users don't have an priori understanding all available datasets. This article investigates main constructing query search solution analyzes existing approaches trends.
An enormous amount of sensing devices (scalar or multimedia) collect and generate information (in the form events) over Internet Things (IoT). Present research on IoT mainly focus processing scalar sensor data events barely considers challenges posed by multimedia based events. In this paper, we systematically review existing solutions available for Multimedia (IoMT) analyzing sensing, networking, service, application-level services provided IoT. We present state-of-the-art event-based...
Medical healthcare centers are envisioned as a promising paradigm to handle vast data for various disease diagnoses using artificial intelligence. Traditional Machine Learning algorithms have been used years, putting the sensitivity of patients' medical privacy at risk. Collaborative training, where multiple hospitals (nodes) train and share encrypted federated models, solves issue leakage unites resources small large from distant areas. This study introduces an innovative framework that...
Event-based systems have loose coupling within space, time and synchronization, providing a scalable infrastructure for information exchange distributed workflows. However, event-based are tightly coupled, via event subscriptions patterns, to the semantics of underlying schema values. The high degree semantic heterogeneity events in large open deployments such as smart cities sensor web makes it difficult develop maintain systems. In order address systems, we propose vocabulary free together...
Spatial crowd sourcing uses workers for performing tasks that require travel to different locations in the physical world. This paper considers online spatial task assignment problem. In this problem, arrive an manner and appropriate worker must be assigned each task. However, outcome of is stochastic since can choose accept or reject Primary goal algorithm maximize number successful assignments over all tasks. presents exploration-exploitation challenge, learn acceptance behavior while...
Event processing follows a decoupled model of interaction in space, time, and synchronization. However, another dimension semantic coupling also exists poses challenge to the scalability event systems highly semantically heterogeneous dynamic environments such as Internet Things (IoT). Current state-of-the-art approaches content-based concept-based require significant agreement between producers consumers on schema or an external conceptual semantics. Thus, they do not address issue. This...