A5078833064- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Scientific Computing and Data Management
- Data Quality and Management
- Service-Oriented Architecture and Web Services
- Biomedical Text Mining and Ontologies
- Research Data Management Practices
- Natural Language Processing Techniques
- Data Visualization and Analytics
- Web Data Mining and Analysis
- Data Management and Algorithms
- Big Data and Business Intelligence
- Library Science and Information Systems
- Advanced Graph Neural Networks
- Geographic Information Systems Studies
- Open Education and E-Learning
- Mathematics, Computing, and Information Processing
- Business Process Modeling and Analysis
- Distributed and Parallel Computing Systems
- Digital Humanities and Scholarship
- Digital Rights Management and Security
- Spacecraft and Cryogenic Technologies
- Big Data Technologies and Applications
- Complex Network Analysis Techniques
- Wikis in Education and Collaboration
KU Leuven
2021-2024
Flanders Make (Belgium)
2022-2024
iMinds
2013-2021
Ghent University
2013-2021
Ghent University Hospital
2020
Eurogentec (Belgium)
2019
IMEC
2016-2017
Aristotle University of Thessaloniki
2012
University of Trento
2009
Anomalies and faults can be detected, their causes verified, using both data-driven knowledge-driven techniques. Data-driven techniques adapt internal functioning based on the raw input data but fail to explain manifestation of any detection. Knowledge-driven inherently deliver cause that were detected require too much human effort set up. In this paper, we introduce FLAGS, Fused-AI interpretabLe Anomaly Generation System, combine in one methodology overcome limitations optimize them limited...
RDF-star has been proposed as an extension of RDF to make statements about statements. Libraries and graph stores have started adopting RDF-star, but the generation data remains largely unexplored. To allow generating from heterogeneous data, RML-star was RML. However, no system developed so far that implements specification. In this work, we present Morph-KGCstar, which extends Morph-KGC materialization engine generate datasets. We validate Morph-KGCstar by running test cases derived...
Incorporating structured data in the Linked Data cloud is still complicated, despite numerous existing tools. In particular, hierarchical (e.g., JSON) are underrepresented, due to their processing complexity. A uniform mapping formalization for different formats, which would enable reuse and exchange between tools applied data, missing. This paper describes a novel approach of heterogeneous sources into RDF using RML language, an extension over R2RML (the W3C standard relational databases...
The correct functioning of Semantic Web applications requires that given RDF graphs adhere to an expected shape. This shape depends on the graph and application’s supported entailments graph. During validation, are assessed against sets constraints, found violations help refining graphs. However, existing validation approaches cannot always explain root causes (inhibiting refinement), fully match during with those by application. These accurately validate graphs, or combine multiple systems,...
To unlock the value of increasingly available data in high volumes, we need flexible ways to integrate across different sources. While semantic integration can be provided through RDF generation, current generators insufficiently scale terms volume. Generators are limited by memory constraints. Therefore, developed RMLStreamer, a generator that parallelizes ingestion and mapping tasks generation multiple instances. In this paper, analyze what aspects parallelizable introduce an approach for...
Knowledge graphs, which contain annotated descriptions of entities and their interrelations, are often generated using rules that apply semantic annotations to certain data sources. (Re)using ontology terms without adhering the axioms defined by ontologies results in inconsistencies se affecting quality. Methods tools were proposed detect resolve inconsistencies, root causes include ontologies. However, these either require access complete knowledge graph, is not always available a...
A proposed technique quantifies the semantic interoperability of open government datasets with three metrics calculated using a set statements that indicate for each pair identifiers in system whether or not they represent same concept.
The Open Access movement and the research management can take a new turn if information is published as Linked Data. With Data, of within institutions across be facilitated, quality available data improved their availability to public assured. However, it difficult for non-expert users advantage interlinked offered by Data they lack in- depth knowledge. In this paper, we present use case publishing metadata creating interactive visualizations support in analyzing Flemish landscape.