Definitions
Knowledge graph embeddings: a vector representation of entities and relations in a knowledge graph that preserves the inherent structure of the knowledge graph as well as the reasoning ability over the graph.
Overview
With the growing popularity of multi-relational data on the Web, knowledge graphs (KGs) have become a key data source in various application domains, such as Web search, question answering, and natural language understanding. In a typical KG such as Freebase (Bollacker et al. 2008) or Google’s Knowledge Graph (Google 2014), entities are connected via relations. For example, Bern is capital of Switzerland. Formally, a popular approach to represent such relational data is to use the Resource Description Framework. It defines a fact as a triple (subject, predicate, and object), which is also known as head, relation, and tail or (h, r, t) for short. Following the above example, the head, relation, and tail...
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Rosso, P., Yang, D., Cudré-Mauroux, P. (2018). Knowledge Graph Embeddings. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_284-1
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DOI: https://doi.org/10.1007/978-3-319-63962-8_284-1
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Latest
Knowledge Graph Embeddings- Published:
- 23 February 2018
DOI: https://doi.org/10.1007/978-3-319-63962-8_284-1
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Original
Knowledge Graph Embeddings- Published:
- 24 February 2012
DOI: https://doi.org/10.1007/978-3-319-63962-8_284-2