MaschinenBauIndustrie

Overview

The MaschinenBauIndustrie (MBI) Knowledge Graph contains structured data from the book "Die Maschinen-Industrie im Deutschen Reich" written by Herbert Patschan in 1937. The book was scanned, OCR-ed, structured and semantified at UB Mannheim. The data includes basic data for the German companies from machine industry.

Access to data

• The MBI data is accessible by both humans and machines
• The MBI data is currently not available openly
• 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 Daimler-Benz A.-G.: https://mbi.kgi.uni-mannheim.de/entity/Q707.json, https://mbi.kgi.uni-mannheim.de/entity/Q707.rdf, https://mbi.kgi.uni-mannheim.de/entity/Q707.ttl, https://mbi.kgi.uni-mannheim.de/entity/Q707.nt and https://mbi.kgi.uni-mannheim.de/entity/Q707.jsonld.

Data model

• Properties
  • [a-z.%2B%22)))%0A%20%20OPTIONAL%20{%20%3FpropertyWikibase%20skos%3AaltLabel%20%3FpropertyAlias.%20}%0A} Properties with capitalized labels] are initial properties having datatypes "string" and used to model raw extracted data.
  • [a-z.%2B%22))%0A%20%20OPTIONAL%20{%20%3FpropertyWikibase%20skos%3AaltLabel%20%3FpropertyAlias.%20}%0A} Properties with non-capitalized labels] are properties having various datatypes (e.g., "item", "time") and used to model "semantified data".
• Items
  • Classes
    • Company (Q1)
    • Human (Q5739)
    • administrative territorial entity of Germany (Q5157)

Use Cases

• Searching basic data for German companies in machine industry for the year 1937
• Matching your (meta)data to MBI data using the MBI reconciliation service
• Clean your tabular data and match it to the MBI knowledge graph with OpenRefine and the MBI reconciliation service
• Semantic annotation of tabular data using the MBI knowledge graph with bbw
• Federated queries over MBI, 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 MBI-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 MBI KG" as a subject.
• If you are new to knowledge graphs, check out materials at Wikibase Knowledge Graphs.
• The MBI knowledge graph is based on Wikibase, the software behind Wikidata. Therefore the Wikidata tutorials are also highly recommended.