Construction of a knowledge graph for framework material enabled by large language models and its application Article Swipe
Xuefeng Bai
,
Song He
,
Yi Li
,
Ya-Bo Xie
,
Xin Zhang
,
Wenli Du
,
Jian‐Rong Li
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41524-025-01540-6
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41524-025-01540-6
Framework materials (FMs) have been extensively investigated with a plethora of literature documenting their unique properties and potential applications. Despite this, a comprehensive knowledge graph for this emerging field has not yet been constructed. In this study, by utilizing the natural language processing capabilities of large language models (LLMs), we have established a comprehensive knowledge graph (KG-FM). It covers synthesis, properties, applications, and other aspects of FMs including metal-organic frameworks (MOFs), covalent-organic frameworks (COFs), and hydrogen-bonded organic frameworks (HOFs). The knowledge graph was constructed through the analysis of over 100,000 articles, resulting in 2.53 million nodes and 4.01 million relationships. Subsequently, its application has been explored for enhancing data retrieval, mining, and the development of sophisticated question-answering systems. Especially when integrating the KGs with LLMs, resulted Qwen2-KG not only achieves a higher accuracy rate of 91.67% in question-answering than existing models but also provides precise information sources.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41524-025-01540-6
- https://www.nature.com/articles/s41524-025-01540-6.pdf
- OA Status
- gold
- Cited By
- 14
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408013061
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4408013061Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41524-025-01540-6Digital Object Identifier
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Construction of a knowledge graph for framework material enabled by large language models and its applicationWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
- Publication date
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2025-02-27Full publication date if available
- Authors
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Xuefeng Bai, Song He, Yi Li, Ya-Bo Xie, Xin Zhang, Wenli Du, Jian‐Rong LiList of authors in order
- Landing page
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https://doi.org/10.1038/s41524-025-01540-6Publisher landing page
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https://www.nature.com/articles/s41524-025-01540-6.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41524-025-01540-6.pdfDirect OA link when available
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Computer science, Graph, Knowledge graph, Natural language processing, Programming language, Artificial intelligence, Theoretical computer scienceTop concepts (fields/topics) attached by OpenAlex
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14Total citation count in OpenAlex
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2025: 14Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.through | 85 |
| abstract_inverted_index.(KG-FM). | 57 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Qwen2-KG | 127 |
| abstract_inverted_index.accuracy | 133 |
| abstract_inverted_index.achieves | 130 |
| abstract_inverted_index.analysis | 87 |
| abstract_inverted_index.emerging | 28 |
| abstract_inverted_index.existing | 140 |
| abstract_inverted_index.explored | 106 |
| abstract_inverted_index.language | 42, 47 |
| abstract_inverted_index.plethora | 10 |
| abstract_inverted_index.provides | 144 |
| abstract_inverted_index.resulted | 126 |
| abstract_inverted_index.sources. | 147 |
| abstract_inverted_index.systems. | 118 |
| abstract_inverted_index.Framework | 1 |
| abstract_inverted_index.articles, | 91 |
| abstract_inverted_index.enhancing | 108 |
| abstract_inverted_index.including | 68 |
| abstract_inverted_index.knowledge | 24, 55, 81 |
| abstract_inverted_index.materials | 2 |
| abstract_inverted_index.potential | 18 |
| abstract_inverted_index.resulting | 92 |
| abstract_inverted_index.utilizing | 39 |
| abstract_inverted_index.Especially | 119 |
| abstract_inverted_index.frameworks | 70, 73, 78 |
| abstract_inverted_index.literature | 12 |
| abstract_inverted_index.processing | 43 |
| abstract_inverted_index.properties | 16 |
| abstract_inverted_index.retrieval, | 110 |
| abstract_inverted_index.synthesis, | 60 |
| abstract_inverted_index.application | 103 |
| abstract_inverted_index.constructed | 84 |
| abstract_inverted_index.development | 114 |
| abstract_inverted_index.documenting | 13 |
| abstract_inverted_index.established | 52 |
| abstract_inverted_index.extensively | 6 |
| abstract_inverted_index.information | 146 |
| abstract_inverted_index.integrating | 121 |
| abstract_inverted_index.properties, | 61 |
| abstract_inverted_index.capabilities | 44 |
| abstract_inverted_index.constructed. | 34 |
| abstract_inverted_index.investigated | 7 |
| abstract_inverted_index.Subsequently, | 101 |
| abstract_inverted_index.applications, | 62 |
| abstract_inverted_index.applications. | 19 |
| abstract_inverted_index.comprehensive | 23, 54 |
| abstract_inverted_index.metal-organic | 69 |
| abstract_inverted_index.sophisticated | 116 |
| abstract_inverted_index.relationships. | 100 |
| abstract_inverted_index.hydrogen-bonded | 76 |
| abstract_inverted_index.covalent-organic | 72 |
| abstract_inverted_index.question-answering | 117, 138 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.98889869 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |