Handbuch der Deutschen Aktiengesellschaften wikibase https://hbag.kgi.uni-mannheim.de/wiki/Main_Page MediaWiki 1.38.5 first-letter Media Special Talk User User talk Project Project talk File File talk MediaWiki MediaWiki talk Template Template talk Help Help talk Category Category talk Item Item talk Property Property talk EntitySchema EntitySchema talk Module Module talk 0 1 2398 2397 2024-08-27T12:33:39Z Admin 1 2398 wikitext text/x-wiki [[File:HbAG logo.jpg|thumb|443x443px]] ==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 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 *[https://hbag.kgi.uni-mannheim.de/w/index.php?title=Special:ListProperties/&limit=500&offset=0 List of properties] *[https://hbag.kgi.uni-mannheim.de/wiki/Special:AllPages?from=&to=&namespace=120 List of items] *[https://hbag.kgi.uni-mannheim.de/w/index.php?search=&title=Special%3ASearch&profile=advanced&fulltext=1&ns120=1 Advanced search for items] *[https://query.hbag.kgi.uni-mannheim.de SPARQL endpoint] *[https://hbag.kgi.uni-mannheim.de/w/api.php API] *[https://hbag.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://hbag.kgi.uni-mannheim.de/entity/Q114 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 **[https://hbag.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://hbag.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://hbag.kgi.uni-mannheim.de/wiki/Item:Q1 Company (Q1)] ***[https://hbag.kgi.uni-mannheim.de/wiki/Item:Q2 administrative territorial entity (Q2)] ***[https://hbag.kgi.uni-mannheim.de/wiki/Item:Q3 federated state of Germany (Q3)] ***[https://hbag.kgi.uni-mannheim.de/wiki/Item:Q4 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 [https://rec.hbag.kgi.uni-mannheim.de HbAG reconciliation service] *Clean your tabular data and match it to the HbAG knowledge graph with [https://openrefine.org OpenRefine] and the [https://rec.hbag.kgi.uni-mannheim.de HbAG reconciliation service] *Semantic annotation of tabular data using the HbAG knowledge graph with [https://github.com/UB-Mannheim/bbw 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 [https://github.com/UB-Mannheim/HbAG-KG/issues GitHub HbAG-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 HbAG 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 HbAG 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. bcfjxj8adjo9lt94d000fcjy4wwouyy