A5079176157- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Biomedical Text Mining and Ontologies
- Advanced Text Analysis Techniques
- Facility Location and Emergency Management
- Disaster Management and Resilience
- Natural Language Processing Techniques
- Food Supply Chain Traceability
- Topic Modeling
- Data Quality and Management
- Evacuation and Crowd Dynamics
- Geographic Information Systems Studies
- Web Data Mining and Analysis
- Scientific Computing and Data Management
- Blockchain Technology Applications and Security
- Service and Product Innovation
- Public Relations and Crisis Communication
- Business Process Modeling and Analysis
- Big Data and Business Intelligence
- Research Data Management Practices
- Digital Platforms and Economics
- Vehicle Routing Optimization Methods
- Advanced Database Systems and Queries
- Privacy, Security, and Data Protection
- Advanced Image and Video Retrieval Techniques
Maastricht University
2019-2025
Netherlands Organisation for Applied Scientific Research
2018-2023
Centraal Bureau voor de Statistiek
2022
Dutch Research Council
2016-2018
Aston University
2007-2018
University of Illinois at Springfield
2017-2018
University of Sheffield
2001-2007
The technologies associated with the Internet of Things have great potential for application in domain food and agriculture, especially view societal environmental challenges faced by this sector. From farm to fork, IoT could transform sector, contributing safety, reduction agricultural inputs waste. A major step toward greater uptake these will be execution IoT-based large-scale pilots (LSPs) entire supply chain. This article outlines constraints that an LSP deployment must consider....
Recently, we have seen an explosion of interest in ontologies as artifacts to represent human knowledge and critical components management, the semantic Web, business-to-business applications, several other application areas. Various research communities commonly assume that are appropriate modeling structure for representing knowledge. However, little discussion has occurred regarding actual range ontology can successfully represent.
In view of the need to provide tools facilitate re-use existing knowledge structures such as ontologies, we present in this paper a system, AKTiveRank, for ranking ontologies. AKTiveRank uses input search terms provided by engineer and, using output an ontology engine, ranks We apply number metrics attempt investigate their appropriateness and compare results with questionnaire-based human study. Our show that will have great utility although there is potential improvement.
The Future Internet is expected to greatly influence how the food and agriculture sector currently operating. In this paper, we present specific characteristics of agri-food focusing on information management in area will take place under a highly heterogeneous group actors services, based EU SmartAgriFood project. We also discuss new dynamic marketplace be realized adoption number specialized software modules, called "Generic Enablers" that are developed context FI-WARE Thus, paper presents...
Purpose Decision-making structures are commonly associated with the logistics challenges experienced during disaster operations. However, alignment between operational level and decision-making structure is overlooked. The purpose of this paper to provide an analysis fit both levels its impact on performance. Design/methodology/approach research developed around a case study in Mexico. Through review management policy country, interviews secondary data, provides current structure, activities...
The agri-food and rural development sector in Europe is undergoing digitalization, therefore becoming increasingly data-dependent. However, limited experience implementing Findable, Accessible, Interoperable, Reusable (FAIR) data principles has restricted knowledge sharing reusability. This study aims to investigate the existing FAIR Data Management practices by assessing FAIRness of project outputs from recent H2020-funded Multi-Actor Projects (MAPs). We conducted a assessment using both...
This paper focuses on fine-grained, secure access to FAIR data, for which we propose ontology-based data policies. These policies take into account both the aspects of relevant (such as provenance and licence), expressed metadata, additional metadata describing users. With this tripartite approach (data, associated expressing information, about users), controlled object can be obtained. yields a security dimension “A” (accessible) in FAIR, is clearly needed domains like intelligence. need...
Floods are one of the most dangerous and common disasters worldwide, these closely linked to geography affected area. As a result, several papers in academic field humanitarian logistics have incorporated use Geographical Information Systems (GIS) for disaster management. However, contributions literature using systems network analysis display, with just few exploiting capabilities GIS improve planning preparedness. To show management, this paper uses raster analyse potential flooding...
This paper compares different transformer-based language models for automatic term extraction from agriculture-related texts. Agriculture is an important economic sector faced with severe environmental and societal challenges. The collection, annotation sharing of agricultural scientific knowledge key to enabling the address its Automatic a Natural Language Processing task that can provide solutions text tagging towards better information exchange. It concerned identification terms...