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==Data model== | ==Data model== | ||
*Properties | *Properties | ||
**[https://query.mbi.kgi.uni-mannheim.de/embed.html#%23Properties%20with%20capitalized%20labels%20and%20their%20datatypes%0ASELECT%20DISTINCT%20%3FpropertyWikibase%20%3FpropertyLabel%20%3FpropertyType%20WHERE%20{%0A%20%20%3FpropertyWikibase%20wikibase%3AdirectClaim%20%3Fp%3B%0A%20%20%20%20wikibase%3ApropertyType%20%3FpropertyType%3B%0A%20%20%20%20rdfs%3Alabel%20%3FpropertyLabel.%0A%20%20FILTER(!(REGEX(%3FpropertyLabel%2C%20%22[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. | **[https://query.mbi.kgi.uni-mannheim.de/embed.html#%23Properties%20with%20capitalized%20labels%20and%20their%20datatypes%0ASELECT%20DISTINCT%20%3FpropertyWikibase%20%3FpropertyLabel%20%3FpropertyType%20WHERE%20{%0A%20%20%3FpropertyWikibase%20wikibase%3AdirectClaim%20%3Fp%3B%0A%20%20%20%20wikibase%3ApropertyType%20%3FpropertyType%3B%0A%20%20%20%20rdfs%3Alabel%20%3FpropertyLabel.%0A%20%20FILTER(!(REGEX(%3FpropertyLabel%2C%20%22<nowiki>[a-z]</nowiki>.%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. | ||
**[https://query.mbi.kgi.uni-mannheim.de/embed.html#SELECT%20DISTINCT%20%3FpropertyWikibase%20%3FpropertyLabel%20%3FpropertyType%20WHERE%20{%0A%20%20%3FpropertyWikibase%20wikibase%3AdirectClaim%20%3Fp%3B%0A%20%20%20%20wikibase%3ApropertyType%20%3FpropertyType%3B%0A%20%20%20%20rdfs%3Alabel%20%3FpropertyLabel.%0A%20%20FILTER(REGEX(%3FpropertyLabel%2C%20%22[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". | **[https://query.mbi.kgi.uni-mannheim.de/embed.html#SELECT%20DISTINCT%20%3FpropertyWikibase%20%3FpropertyLabel%20%3FpropertyType%20WHERE%20{%0A%20%20%3FpropertyWikibase%20wikibase%3AdirectClaim%20%3Fp%3B%0A%20%20%20%20wikibase%3ApropertyType%20%3FpropertyType%3B%0A%20%20%20%20rdfs%3Alabel%20%3FpropertyLabel.%0A%20%20FILTER(REGEX(%3FpropertyLabel%2C%20%22<nowiki>[a-z]</nowiki>.%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 | *Items | ||
**Classes | **Classes |
Revision as of 15:27, 26 April 2023
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
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.