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tend to hallucinate facts. By contrast, other AI technologies, such as knowledge graphs and formal reasoning engines, are able to reason reliably, but are less good at handling ambiguity. This PhD
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components, systems, and the dependencies between them might be captured in a shared structure, and comparing candidate approaches, such as ontologies, knowledge graphs, graph databases, or multi taxonomy
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mental models, cognitive maps, and cognitive graphs. These approaches have provided important insights into how people perceive locations, learn route layouts, and understand spatial relations. However
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to provide reliable predictions and support effective decision-making. The aim of the PhD project is to address these gaps by developing theoretical and computational tools that combine game theory, graph
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people represent environments through concepts such as mental models, cognitive maps, and cognitive graphs. These approaches have provided important insights into how people perceive locations, learn route
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develop knowledge-grounded reasoning methods that connect salient nucleotides, motifs, genes and regulatory elements to biological annotations, ontologies, knowledge graphs and literature-derived evidence
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for analyzing how landscapes evolve over time. This thesis is part of the ANR GEvoK (Geographic Entities Evolution in Knowledge Graphs) project, which aims at automatically detecting and semantically
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be responsible for Setup a knowledge graph in neo4J for microbiome research Integration of microbiome research data from the project with data from literature (e.g., molecular pathways) using
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
for the Research Group Multidimensional Omics Data Analysis: PhD Candidate (m/f/d) You will be responsible for Setting up a knowledge graph in neo4J for microbiome research Integration of microbiome research data
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, rooted in digital sciences, mobilizes knowledge engineering, including ontologies and semantic graphs, in order to structure heritage data and model chains of evidence, drawing on standards such as CIDOC