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Proposer
Albert Burger
Title
Knowledge Graphs for Medical Images
Goal
Design and Implement a Knowledge Graph using Neo4j and RDF to capture knowledge contained in and related to medical images.
Description
Medical images contain a lot of information that needs to be captured for further analysis and to link it to associated other medical data. In this project you will develop a Knowledge Graph, using the graph-based database system Neo4j and RDF, to model aspects of the human gut. Based on this you will develop a set of semantic query solutions to answer typical questions on the data set provided.
Resources
Neo4j, Anatomy Ontology
Background
Databases, Semantic Web, AI https://neo4j.com https://www.w3.org/RDF/ https://neo4j.com/labs/neosemantics/
Url
Difficulty Level
High
Ethical Approval
None
Number Of Students
1
Supervisor
Albert Burger
Keywords
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Data Science
Master of Science in Software Engineering