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==Overview== | ==Overview== | ||
The "Handbuch der Deutschen Aktiengesellschaften" (HbAG) Knowledge Graph contains structured data from the books [https://de.wikipedia.org/wiki/Handbuch_der_deutschen_Aktiengesellschaften "Handbuch der Deutschen Aktiengesellschaften"] published since 1896. The | The "Handbuch der Deutschen Aktiengesellschaften" (HbAG) Knowledge Graph contains structured data from the books [https://de.wikipedia.org/wiki/Handbuch_der_deutschen_Aktiengesellschaften "Handbuch der Deutschen Aktiengesellschaften"] published since 1896. The books were scanned, OCR-ed, structured, and semantified. The data includes basic data for the German companies, including company names, industry, and headquarters location. | ||
==Access to data== | ==Access to data== | ||
Latest revision as of 12:33, 27 August 2024
Overview
The "Handbuch der Deutschen Aktiengesellschaften" (HbAG) Knowledge Graph contains structured data from the books "Handbuch der Deutschen Aktiengesellschaften" published since 1896. The books were scanned, OCR-ed, structured, and semantified. The data includes basic data for the German companies, including company names, industry, and headquarters location.
Access to data
- The HbAG data is accessible by both humans and machines
- The HbAG data is openly available
- List of properties
- List of items
- Advanced search for items
- SPARQL endpoint
- API
- Export to CSV
- Every entity can be downloaded in .json, .rdf, .ttl, .nt and .jsonld formats. An example for ERSTE DEUTSCHE FEIN JUTE GARN SPINNEREI: https://hbag.kgi.uni-mannheim.de/entity/Q114.json, https://hbag.kgi.uni-mannheim.de/entity/Q114.rdf, https://hbag.kgi.uni-mannheim.de/entity/Q114.ttl, https://hbag.kgi.uni-mannheim.de/entity/Q114.nt and https://hbag.kgi.uni-mannheim.de/entity/Q114.jsonld.
Data model
- Properties
- Properties with capitalized labels are initial properties having datatypes "string" and used to model raw extracted data.
- Properties with non-capitalized labels are properties having various datatypes (e.g., "item", "time") and used to model "semantified data".
- Items
Use Cases
- Searching basic data for German joint-stock companies for the years 1896-1919
- Matching your (meta)data to HbAG data using the HbAG reconciliation service
- Clean your tabular data and match it to the HbAG knowledge graph with OpenRefine and the HbAG reconciliation service
- Semantic annotation of tabular data using the HbAG knowledge graph with bbw
- Federated queries over HbAG, Wikidata and other SPARQL endpoints
Get involved
- You can contribute to this project in various ways: matching data, data quality checks and data editing/upload.
- You can give your feedback at GitHub HbAG-KG Issues.
- You can get an account here via email request to the Research Data Center at UB Mannheim. Please write "Request an account at the HbAG KG" as a subject.
- If you are new to knowledge graphs, check out materials at Wikibase Knowledge Graphs.
- The HbAG knowledge graph is based on Wikibase, the software behind Wikidata. Therefore the Wikidata tutorials are also highly recommended.