A5045494777- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Artificial Intelligence in Law
- Multi-Agent Systems and Negotiation
- Natural Language Processing Techniques
- Service-Oriented Architecture and Web Services
- Scientific Computing and Data Management
- Advanced Database Systems and Queries
- Data Quality and Management
- Comparative and International Law Studies
- Geographic Information Systems Studies
- Research Data Management Practices
- Library Science and Information Systems
- 3D Modeling in Geospatial Applications
- Advanced Graph Neural Networks
- Clinical practice guidelines implementation
- Advanced Computational Techniques and Applications
- linguistics and terminology studies
- Topic Modeling
- Music and Audio Processing
- Diverse Musicological Studies
- Business Process Modeling and Analysis
- Bayesian Modeling and Causal Inference
- Legal Education and Practice Innovations
- Intellectual Property and Patents
RELX Group (Netherlands)
2018-2022
University of Amsterdam
2009-2018
Vrije Universiteit Amsterdam
2009-2018
The size and complexity of the Semantic Web its technology stack makes it difficult to query. Access Linked Data could be greatly facilitated if were supported by a tool with strong focus on usability. In this paper we present YASGUI family SPARQL clients, continuation Y ASGUI introduced more than two years ago. clients enables publishers improve ease access for their endpoints, gives consumers robust, feature-rich user friendly editor. We show that had significant impact landscape...
The formal representation of clinical knowledge is still an open research topic. Classical languages for guidelines are used to produce diagnostic and treatment plans. However, they have important limitations, e.g. when looking ways re-use, combine, reason over ex isting knowledge. These limitations especially problematic in the context multimorbidity; patients that suffer from multiple diseases. To overcome these this paper proposes a model (TMR4I) allows re-use combination guidelines....
Knowledge engineering upholds a longstanding tradition that emphasises methodological issues associated with the acquisition and representation of knowledge in some (formal) language. This focus on methodology implies an ex ante approach: "think befo