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==Overview== | |||
The MaschinenBauIndustrie (MBI) Knowledge Graph contains structured data from the book [https://www.zvab.com/Maschinen-Industrie-Deutschen-Reich-1937-Herausgegeben-Wirtschaftsgruppe/1360688566/bd "Die Maschinen-Industrie im Deutschen Reich"] written by Herbert Patschan in 1937. The book was scanned, OCR-ed, structured and semantified at [https://fdz.bib.uni-mannheim.de UB Mannheim]. The data includes basic data for the German companies from machine industry. | |||
== | ==Access to data== | ||
* [https:// | *The MBI data is accessible by both humans and machines | ||
* [https:// | *The MBI data is currently not available openly | ||
* [https:// | *[https://mbi.kgi.uni-mannheim.de/w/index.php?title=Special:ListProperties/&limit=500&offset=0 List of properties] | ||
* [https:// | *[https://mbi.kgi.uni-mannheim.de/wiki/Special:AllPages?from=&to=&namespace=120 List of items] | ||
* [https:// | *[https://mbi.kgi.uni-mannheim.de/w/index.php?search=&title=Special%3ASearch&profile=advanced&fulltext=1&ns120=1 Advanced search for items] | ||
*[https://query.mbi.kgi.uni-mannheim.de SPARQL endpoint] | |||
*[https://mbi.kgi.uni-mannheim.de/w/api.php API] | |||
*[https://mbi.kgi.uni-mannheim.de/wiki/Special:WikibaseExport Export to CSV] | |||
*Every entity can be downloaded in .json, .rdf, .ttl, .nt and .jsonld formats. An example for [https://mbi.kgi.uni-mannheim.de/entity/Q707 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 | |||
**[https://mbi.kgi.uni-mannheim.de/wiki/SPARQL_examples#Properties_with_capitalized_labels_and_their_datatypes Properties with capitalized labels] are initial properties having datatypes "string" and used to model raw extracted data. | |||
**[https://mbi.kgi.uni-mannheim.de/wiki/SPARQL_examples#Properties_with_non-capitalized_labels_and_their_datatypes Properties with non-capitalized labels] are properties having various datatypes (e.g., "item", "time") and used to model "semantified data". | |||
*Items | |||
**Classes | |||
***[https://mbi.kgi.uni-mannheim.de/wiki/Item:Q1 Company (Q1)] | |||
***[https://mbi.kgi.uni-mannheim.de/wiki/Item:Q5739 Human (Q5739)] | |||
***[https://mbi.kgi.uni-mannheim.de/wiki/Item:Q5157 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 [https://rec.mbi.kgi.uni-mannheim.de MBI reconciliation service] | |||
*Clean your tabular data and match it to the MBI knowledge graph with [https://openrefine.org OpenRefine] and the [https://rec.mbi.kgi.uni-mannheim.de MBI reconciliation service] | |||
*Semantic annotation of tabular data using the MBI knowledge graph with [https://github.com/UB-Mannheim/bbw 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 [https://github.com/UB-Mannheim/Maschinen-Industrie/issues GitHub MBI-KG Issues]. | |||
*You can get an account here via email request to the [https://fdz.bib.uni-mannheim.de 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 [https://github.com/shigapov/wikibase-knowledge-graphs Wikibase Knowledge Graphs]. | |||
*The MBI knowledge graph is based on [https://wikiba.se Wikibase], the software behind [https://www.wikidata.org Wikidata]. Therefore the [https://www.wikidata.org/wiki/Wikidata:Tours Wikidata tutorials] are also highly recommended. |
Latest revision as of 15:32, 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
- 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 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.