Knowledge graph construction method based on oil and gas pipeline and processor

Abstract

The invention relates to the technical field of oil and gas pipelines, in particular to a knowledge graph construction method based on an oil and gas pipeline, a processor, a device and a storage medium. The method comprises: acquiring text data of a field where an oil-gas pipeline is located; preprocessing the text data, and labeling the preprocessed text data to construct a labeled data corpus of the oil and gas pipeline; inputting statements contained in the annotation data corpus into an entity recognition learning model, so as to extract entities contained in the statements through the entity recognition learning model; inputting the entities into an entity relationship extraction model so as to determine an entity relationship between the entities through the entity relationship extraction model; and constructing a knowledge graph based on the oil and gas pipeline according to the entities and the entity relationship. According to the technical scheme, by obtaining the text data of the field where the oil and gas pipeline is located, the entities and the entity relations are extracted, and the knowledge graph of the oil and gas pipeline is constructed. And therefore, intelligent pipe network applications such as knowledge retrieval and decision support can be better supported.

Description

technical field [0001] The present application relates to the technical field of oil and gas pipelines, in particular to a method, processor, device and storage medium for building a knowledge map based on oil and gas pipelines. Background technique [0002] The knowledge map graphically describes the complex relationship between concepts and entities in the real world, allowing computers to convey information, organize, and manage information in a way that is more acceptable to humans to recognize the world, and it also allows people to better understand understand knowledge. As a way of knowledge representation in the field of knowledge engineering in the era of big data, knowledge graphs graphically and structurally represent knowledge through concepts, entities, entity attributes, and semantic relationships between entities, which not only allow machines to "understand" and "Explain" objective phenomena and facts, and its in-depth knowledge reasoning ability and gradual...

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