Rosso, Paolo Yang, Dingqi Cudré-Mauroux, Philippe 2018 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... application/pdf https://sonar.ch/global/documents/307732 https://sonar.ch/documents/307732/files/cud_kge.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-63962-8_284-1 info:eu-repo/semantics/openAccess License undefined Encyclopedia of Big Data Technologies. - 2018, p. 1–7 info:eu-repo/classification/udc/004 Knowledge graph embeddings http://purl.org/coar/resource_type/c_3248