Research on the standardization model of data semantics in the knowledge graph construction of Oil&Gas industry

Abstract

At present, knowledge graphs in both general and vertical fields rarely consider the problem of data semantic standardization in the process of constructing from a global perspective, which brings trouble and loss to the sharing and interoperability of domain information. Therefore, it is very important to construct a set of standardized and semantically consistent knowledge organization model, and to propose a data semantics standardization methodology on this basis, so as to fundamentally solve this serious problem that hinders data sharing. This paper first proposes a model of data semantic standardization theoretically through the research on knowledge organization, concept triangle and concept logic and other theories, combined with ISO 1087 international standard, and proposes the important idea that the key issue of data semantic standardization is conceptual standardization as the core. Then, based on this theoretical model, a comprehensive study and combing of various vocabulary standards in the international Oil&Gas industry was carried out, and the Oil&Gas industry reference vocabulary standardization model (OIRVSM) used to guide the construction of data semantic standards in the oil and gas industry is proposed. Finally, under the guidance of the W3C best practice framework, combined with the proposed model, an operational algorithm for constructing standardized knowledge graph (ACSKG) in Oil&Gas industry and a construction example are given, which verifies the rationality and correctness of data semantic standardization model and vocabulary standard system model. The two models proposed in this paper are innovative. Although they are proposed in the context of Oil&Gas industry, they also have application and reference significance in other fields.