Culminating Project Title
Date of Award
Culminating Project Type
Computer Science: M.S.
Computer Science and Information Technology
School of Science and Engineering
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Keywords and Subject Headings
Artificial Intelligence, Knowledge Graph, Knowledge Graph Embedding
Knowledge graphs provide machines with structured knowledge of the world. Structured, machine-readable knowledge is necessary for a wide variety of artificial intelligence tasks such as search, translation, and recommender systems. These knowledge graphs can be embedded into a dense matrix representation for easier usage and storage. We first discuss knowledge graph components and knowledge base population to provide the necessary background knowledge. We then discuss popular methods of embedding knowledge graphs in chronological order. Lastly, we cover how knowledge graph embeddings improve both knowledge base population and a variety of artificial intelligence tasks.
Tschida, Catherine, "Knowledge Graphs and Knowledge Graph Embeddings" (2020). Culminating Projects in Computer Science and Information Technology. 32.