- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Web Data Mining and Analysis
- Service-Oriented Architecture and Web Services
- Scientific Computing and Data Management
- Caching and Content Delivery
- IoT and Edge/Fog Computing
- Peer-to-Peer Network Technologies
- Data Quality and Management
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Software Engineering Research
- Biomedical Text Mining and Ontologies
- IoT and GPS-based Vehicle Safety Systems
- Artificial Intelligence in Games
- Graph Theory and Algorithms
- Video Analysis and Summarization
- Advanced Data Storage Technologies
- Digital Games and Media
- Natural Language Processing Techniques
- Access Control and Trust
- Digital Economy and Work Transformation
- Human Mobility and Location-Based Analysis
- Manufacturing Process and Optimization
Ghent University
2015-2024
iMinds
2015-2016
Ghent University Hospital
2015
Billions of Linked Data triples exist in thousands RDF knowledge graphs on the Web, but few those can be queried live from Web applications. Only a limited number are available queryable interface, and existing interfaces expensive to host at high availability. To mitigate this shortage Data, we designed low-cost Triple Pattern Fragments interface for servers, client-side algorithm that evaluates SPARQL queries against interface. This article describes framework analyze uses as basis define...
On dense railway networks "such as in Belgium" train travelers are frequently confronted with overly occupied trains, especially during peak hours. Crowdedness on trains leads to a deterioration the quality of service and has negative impact well-being passenger. In order stimulate consider less crowded iRail project wants show an occupancy indicator their route planning applications by means predictive modeling. As there is no official data available, training obtained crowd-sourcing using...
In industry, dashboards are often used to monitor fleets of assets, such as trains, machines or buildings. industrial fleets, the vast amount sensors evolves continuously, new sensor data exchange protocols and formats introduced, visualization types may need be introduced existing dashboard visualizations updated in terms displayed sensors. These requirements motivate development dynamic dashboarding applications. These, opposed fixed-structure applications, allow users create at will do...
The Solid project aims to empower people with control over their own data through the separation of data, identity, and applications. goal is an environment clear interoperability between all servers clients that adhere specification. a standards-driven way extend Linked Data vision from public private everything in between. Multiple implementations Protocol exist, but due evolving nature ecosystem, there strong need for implementation enables qualitative quantitative research into new...
A common practice within object-oriented software is using composition to realize complex object behavior in a reusable way. Such compositions can be managed by Dependency Injection (DI), popular technique which components only depend on minimal interfaces and have their concrete dependencies passed into them. Instead of requiring program code, this separation enables describing the desired instantiations declarative configuration files, such that objects wired together automatically at...
The process of extracting, structuring, and organizing knowledge requires processing large originally heterogeneous data sources. Offering existing as Linked Data increases its shareability, extensibility, reusability. However, using Linking a means to represent can be easier said than done. In this tutorial, we elaborate on how semantically annotate data, generate publish Data. We introduce [R2]RML languages also show easily the Web Triple Pattern Fragments. As result, participants,...
When publishing Linked Open Datasets on the Web, most attention is typically directed to their latest version. Nevertheless, useful information present in or between previous versions. In order exploit this historical dataset analysis, we can maintain history RDF archives. Existing approaches either require much storage space, they expose an insufficiently expressive efficient interface with respect querying demands. article, introduce archive indexing technique that able store datasets a...