Data · dataset · 2026
Knowledge Graph Dataset of China Administrative Division Evolution (1949–2023)
Listed in ScienceDB
This dataset is based on vector data of Chinese administrative divisions from 1949 to 2023 and provincial statistical yearbook data, and uses knowledge graph technology to construct the "Knowledge Graph of the Evolution of Chinese Administrative Divisions (1949-2023)" dataset.
Description
The data content includes the unique identification, labels, Chinese names, administrative division codes, subordinate administrative divisions, spatial ranges, and other attribute information of China's administrative division units and their attribute characteristics since the founding of the People's Republic of China, as well as multidimensional relationship information.
The content mainly includes: the unique identification, labels, Chinese names, administrative division codes, subordinate administrative divisions, spatial scope, and other attribute information of provincial administrative division units from 1949 to 2023, the expanded information of human, social, and natural geography of provincial administrative division units from 1981 to 2023, such as regional gross domestic product, primary industry gross domestic product, etc., as well as the spatial relationship, evolutionary relationship, and association relationship between administrative division units used to connect administrative division units with corresponding expanded information.
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The dataset provides three types of resources: CSV text data, Neo4j graph database (Dump) files, and administrative division history knowledge graph ontology documents (Excel). Among them, the CSV text data size is 141 MB, the Neo4j graph database (dump) file size is 51.9 MB, and the ontology document (administrative division history knowledge graph dataset ontology. xlsx) size is 28 KB. The ontology document provides a systematic description of the concepts, attributes, and relationship structures involved in the knowledge graph, which can help users quickly understand the data model and support the reuse, extension, and secondary development of the knowledge graph.
The dataset provides multiple data formats to meet the data usage needs in different application scenarios.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00001.01849 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00001.01849 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |