Domain knowledge discovery from abstracts of scientific literature on Nickel-based single crystal superalloys

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dc.contributor.authorLiu, Yen_AU
dc.contributor.authorDing, Len_AU
dc.contributor.authorYang, ZWen_AU
dc.contributor.authorGe, XYen_AU
dc.contributor.authorLiu, DHen_AU
dc.contributor.authorLiu, Wen_AU
dc.contributor.authorYu, Ten_AU
dc.contributor.authorAvdeev, Men_AU
dc.contributor.authorShi, SQen_AU
dc.date.accessioned2025-01-13T01:09:39Zen_AU
dc.date.available2025-01-13T01:09:39Zen_AU
dc.date.issued2023-04-27en_AU
dc.date.statistics2024-06-20en_AU
dc.description.abstractDespite the huge accumulation of scientific literature, it is inefficient and laborious to manually search it for useful information to investigate structure-activity relationships. Here, we propose an efficient text-mining framework for the discovery of credible and valuable domain knowledge from abstracts of scientific literature focusing on Nickel-based single crystal superalloys. Firstly, the credibility of abstracts is quantified in terms of source timeliness, publication authority and author’s academic standing. Next, eight entity types and domain dictionaries describing Nickel-based single crystal superalloys are predefined to realize the named entity recognition from the abstracts, achieving an accuracy of 85.10%. Thirdly, by formulating 12 naming rules for the alloy brands derived from the recognized entities, we extract the target entities and refine them as domain knowledge through the credibility analysis. Following this, we also map out the academic cooperative “Author-Literature-Institute” network, characterize the generations of Nickel-based single crystal superalloys, as well as obtain the fractions of the most important chemical elements in superalloys. The extracted rich and diverse knowledge of Nickel-based single crystal superalloys provides important insights toward understanding the structure-activity relationships for Nickel-based single crystal superalloys and is expected to accelerate the design and discovery of novel superalloys. © Science China Press. © 2024 Springer Nature.en_AU
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China (Grant No. 52073169), the National Key Research and Development Program of China (Grant No. 2021YFB3802101), and the Key Research Project of Zhejiang Laboratory (Grant No. 2021PE0AC02). We also appreciate the High Performance Computing Center of Shanghai University, and the Shanghai Engineering Research Center of Intelligent Computing System for providing the computing resources and technical support.en_AU
dc.identifier.citationLiu, Y., Ding, L., Yang, Z., Ge, X., Liu, D., Liu, W., Yu, T., Avdeev, M., & Shi, S. (2023). Domain knowledge discovery from abstracts of scientific literature on Nickel-based single crystal superalloys. Science China Technological Sciences, 66(6), 1815-1830. doi.org/10.1007/s11431-022-2283-7en_AU
dc.identifier.issn1674-7321en_AU
dc.identifier.issn1869-1900en_AU
dc.identifier.issue6en_AU
dc.identifier.journaltitleScience china technological sciencesen_AU
dc.identifier.pagination1815-1830en_AU
dc.identifier.urihttps://doi.org/10.1007/s11431-022-2283-7en_AU
dc.identifier.urihttps://apo.ansto.gov.au/handle/10238/15926en_AU
dc.identifier.volume66en_AU
dc.languageEnglishen_AU
dc.language.isoenen_AU
dc.publisherSpringer Natureen_AU
dc.subjectNickelen_AU
dc.subjectCrystalsen_AU
dc.subjectAlloysen_AU
dc.subjectMiningen_AU
dc.subjectChemistryen_AU
dc.subjectStructure factorsen_AU
dc.subjectMaterialsen_AU
dc.titleDomain knowledge discovery from abstracts of scientific literature on Nickel-based single crystal superalloysen_AU
dc.typeJournal Articleen_AU
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