Design and Implementation of Oil and Gas Information on Intelligent Search Engine Based on Knowledge Graph

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Abstract

With the deepening of oil and gas informatization construction, various types of oil and gas information increase geometrically. In response to the challenges brought by massive oil and gas information in the search process, this paper proposes an intelligent search engine for oil and gas information based on knowledge graph. Functional modules such as knowledge fusion, knowledge processing, semantic relevance judgment, topic classification, and search result set sorting display, using map service as an interactive interface, realize intelligent search of oil and gas information. Compared with traditional search engines, it has more advantages in the search of oil and gas information, and it is easier to understand the user's search intent in the oil and gas field, effectively improving the quality of search.

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Huang, S., Wang, Y., & Yu, X. (2020). Design and Implementation of Oil and Gas Information on Intelligent Search Engine Based on Knowledge Graph. In Journal of Physics: Conference Series (Vol. 1621). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1621/1/012010

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