End-To-End Knowledge Graph Construction and Reasoning Using Path Based Metrics

End-To-End Knowledge Graph Construction and Reasoning Using Path Based Metrics

연구 분야: Databases

학회: 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N)

The schema-less nature of knowledge graphs has led to their widespread adoption. It makes it possible for knowledge graphs to expand without interruption and to add new entities and relationships as needed. Knowledge graphs are now an effective tool for providing textual data with semantics and representing knowledge as a labelled directed graph. Every item, entity, and user are represented as nodes in a knowledge graph, which is then created by connecting the nodes that communicate with one another through edges. Knowledge graphs can hold a variety of more comprehensive types of information and have a wealth of natural semantics. Its mode of expression is similar to that of natural language. Nevertheless, there is still no accepted definition or format for expressing knowledge graphs.