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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
  • Classes
    • Company (Q1)
    • administrative territorial entity (Q2)
    • federated state of Germany (Q3)
    • city municipality of Germany (Q4)

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.