Construction and application of an ontology-based domain-specific knowledge graph for petroleum exploration and development
Year: 2022
Type: article
Abstract: The massive amount and multi-sourced, multi-structured data in the upstream petroleum industry impose great challenge on data integration and smart application. Knowledge graph, as an emerging technology, can potentially provide a way to tackle the challenges associated with oil and gas big data. This paper proposes an engineering-based method that can improve upon traditional natural language processing to construct the domain knowledge graph based on a petroleum exploration and development ontology. The exploration and development knowledge graph is constructed by assembling Sinopec’s multi-sourced heterogeneous database, and millions of nodes. The two applications based on the constructed knowledge graph are developed and validated for effectiveness and advantages in providing better knowledge services for the oil and gas industry.
Source: Geoscience Frontiers
Authors: Xianming Tang, Zhiqiang Feng, Yitian Xiao, Ming Wang, Tianrui Ye, Yujie Zhou, Jin Meng, Baosen Zhang, Dongwei Zhang
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid:
Awards: G4186306886, G6329553801
OpenAlex ID: W4293072913