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Assessing resolvability, parsability, and consistency of RDF resources: a use case in rare diseases
IntroductionHealthcare data and the knowledge gleaned from it play a key role in improving the health of current and future patients. These knowledge...
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Query-Driven Verification of Data Integration in the RDF Data Model
AbstractMethods and tools for data integration are very important for problem solving in research infrastructures supporting the FAIR data management...
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Constructing a knowledge graph for open government data: the case of Nova Scotia disease datasets
The majority of available datasets in open government data are statistical. They are widely published by various governments to be used by the public...
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Further Results on the [k]-Roman Domination in Graphs
In 2016, Beeler et al. defined the double Roman domination as a variation of Roman domination. Sometime later, in 2021, Ahangar et al. introduced the...
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Semantic units: organizing knowledge graphs into semantically meaningful units of representation
BackgroundIn today’s landscape of data management, the importance of knowledge graphs and ontologies is escalating as critical mechanisms aligned...
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Improving reusability along the data life cycle: a regulatory circuits case study
BackgroundIn life sciences, there has been a long-standing effort of standardization and integration of reference datasets and databases. Despite...
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Optimized continuous homecare provisioning through distributed data-driven semantic services and cross-organizational workflows
BackgroundIn healthcare, an increasing collaboration can be noticed between different caregivers, especially considering the shift to homecare. To...
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Knowledge Graph
Wikipedia defines knowledge as a familiarity, awareness or understanding of someone or something such as facts, skills or objects. It provides...
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OntoMath\({}^{\mathbf{PRO}}\) 2.0 Ontology: Updates of Formal Model
AbstractThis paper is devoted to the problems of ontology-based mathematical knowledge management and representation. The main attention is paid to...
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FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards
The current rise of Open Science and Reproducibility in the Life Sciences requires the creation of rich, machine-actionable metadata in order to...
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Automatic transparency evaluation for open knowledge extraction systems
BackgroundThis paper proposes Cyrus, a new transparency evaluation framework, for Open Knowledge Extraction (OKE) systems. Cyrus is based on the...
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Ontological Approach to a Knowledge Graph Construction in a Semantic Library
AbstractThe paper considers an approach to a knowledge graph construction based on the ontological representation of scientific subject areas. The...
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Development and validation of the early warning system scores ontology
BackgroundClinical early warning scoring systems, have improved patient outcomes in a range of specializations and global contexts. These systems are...
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DCSO: towards an ontology for machine-actionable data management plans
The concept of Data Management Plan (DMP) has emerged as a fundamental tool to help researchers through the systematical management of data. The...
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Enabling ad-hoc reuse of private data repositories through schema extraction
BackgroundSharing sensitive data across organizational boundaries is often significantly limited by legal and ethical restrictions. Regulations such...
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Applying the FAIR principles to data in a hospital: challenges and opportunities in a pandemic
BackgroundThe COVID-19 pandemic has challenged healthcare systems and research worldwide. Data is collected all over the world and needs to be...
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Semantically enabling clinical decision support recommendations
BackgroundClinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and...
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