| Departments |
Computer Science, Zienkiewicz Institute for Modelling, Data and AI
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| Description | A knowledge graph is essentially a graph database, which uses nodes and arcs to formally represent domain knowledge about entities, properties, and relations. Representations also facilitate querying, extraction, linking, and inference. There are legal knowledge graphs that represent the law, legal processes, and legal relationships. The project will develop a knowledge graph for a legal problem or augment existing legal knowledge graphs. The graph should be used for querying and inference. |
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| Preparation | The Alan Turing Institute Knowledge Graph group:
https://www.turing.ac.uk/research/interest-groups/knowledge-graphs
Stanford University course statement:
https://web.stanford.edu/class/cs520/2020/notes/What_is_a_Knowledge_Graph.html
Engine B:
https://www.engineb.com/what-is-a-knowledge-graph-engine-b/
Wikipedia on Knowledge Graph:
https://en.wikipedia.org/wiki/Knowledge_graph |
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| Project Categories |
Artificial Intelligence (AI), January Cohort, Law |
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| Project Keywords |
Logic |
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Level of Studies
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| Level 6 (Undergraduate Year 3) |
yes
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| Level 7 (Masters) |
yes
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| Level 8 (PhD) |
yes
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