- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Data Quality and Management
- Scientific Computing and Data Management
- Plant Pathogens and Fungal Diseases
- Service-Oriented Architecture and Web Services
- Big Data and Business Intelligence
- Advanced Graph Neural Networks
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Research Data Management Practices
- Data Mining Algorithms and Applications
- Entomopathogenic Microorganisms in Pest Control
- Mycorrhizal Fungi and Plant Interactions
Universidad de Murcia
2018-2022
BASF (United States)
2022
The RML mapping language declares schema transformations to map heterogeneous data into knowledge graphs. Although the provided by are sufficient for simple use cases, large real-world ones typically involve diverse and require complex computations. User-defined functions provide flexibility enable creation application of graphs these cases also allow reusing existing software packages processing in multiple domains. In this work, we present an implementation Morph-KGC. This has following...
During the last decades, there have been significant changes in science that provoked a big increase number of articles published every year. This increment implies new difficulty for scientists, who to do an extra effort selecting literature relevant their activity. In this work, we present pipeline generation scientific knowledge graphs agriculture domain. The combines Semantic Web and natural language processing technologies, which make data understandable by computer agents, empowering...
The agricultural industry and regulatory organizations define strategies build tools products for plant protection against pests. To identify different plants their related pests avoid inconsistencies between such organizations, an agreed shared classification is necessary. In this regard, the European Mediterranean Plant Protection Organization (EPPO) has been working on defining maintaining a harmonized coding system (EPPO codes). EPPO codes are easy way of referring to specific organism...
Metrics are commonly used by biomedical researchers and practitioners to measure evaluate properties of individuals, instruments, models, methods, or datasets. Due the lack a standardized validation procedure for metric, it is assumed that if metric appropriate analyzing dataset in certain domain, then will be other datasets same domain. However, such generalizability cannot taken granted, since behavior can vary different scenarios. The study objective this paper, would allow assessing its...
Quantitative metrics are generally applied by scientists to measure and assess the properties of data knowledge resources. In ontology engineering, a number have been developed analyse different features ontologies in last few years. However, this community has not generated any standard framework for studying or sufficient about usefulness validity as measurement instrument these evaluating comparing ontologies. Recently, 19 structural were studied using OBO Foundry AgroPortal repositories....