MediaWiki API result
This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.
Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.
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"timestamp": "2024-08-27T12:33:39Z",
"create_timestamp": "2024-08-27T04:42:49Z",
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"external_link": [
"https://de.wikipedia.org/wiki/Handbuch_der_deutschen_Aktiengesellschaften",
"https://query.hbag.kgi.uni-mannheim.de",
"https://rec.hbag.kgi.uni-mannheim.de",
"https://openrefine.org",
"https://github.com/UB-Mannheim/bbw",
"https://github.com/UB-Mannheim/HbAG-KG/issues",
"https://fdz.bib.uni-mannheim.de",
"https://github.com/shigapov/wikibase-knowledge-graphs",
"https://wikiba.se",
"https://www.wikidata.org",
"https://www.wikidata.org/wiki/Wikidata:Tours"
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"text": "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. 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. 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) 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 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.",
"source_text": "[[File:HbAG logo.jpg|thumb|443x443px]]\n\n==Overview==\nThe \"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.\n\n==Access to data==\n*The HbAG data is accessible by both humans and machines\n*The HbAG data is openly available\n*[https://hbag.kgi.uni-mannheim.de/w/index.php?title=Special:ListProperties/&limit=500&offset=0 List of properties]\n*[https://hbag.kgi.uni-mannheim.de/wiki/Special:AllPages?from=&to=&namespace=120 List of items]\n*[https://hbag.kgi.uni-mannheim.de/w/index.php?search=&title=Special%3ASearch&profile=advanced&fulltext=1&ns120=1 Advanced search for items]\n*[https://query.hbag.kgi.uni-mannheim.de SPARQL endpoint]\n*[https://hbag.kgi.uni-mannheim.de/w/api.php API]\n*[https://hbag.kgi.uni-mannheim.de/wiki/Special:WikibaseExport Export to CSV]\n*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.\n\n==Data model==\n*Properties\n**[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.\n**[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\".\n*Items\n**Classes\n***[https://hbag.kgi.uni-mannheim.de/wiki/Item:Q1 Company (Q1)]\n***[https://hbag.kgi.uni-mannheim.de/wiki/Item:Q2 administrative territorial entity (Q2)]\n***[https://hbag.kgi.uni-mannheim.de/wiki/Item:Q3 federated state of Germany (Q3)]\n***[https://hbag.kgi.uni-mannheim.de/wiki/Item:Q4 city municipality of Germany (Q4)]\n\n==Use Cases==\n*Searching basic data for German joint-stock companies for the years 1896-1919\n*Matching your (meta)data to HbAG data using the [https://rec.hbag.kgi.uni-mannheim.de HbAG reconciliation service]\n*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]\n*Semantic annotation of tabular data using the HbAG knowledge graph with [https://github.com/UB-Mannheim/bbw bbw]\n*Federated queries over HbAG, Wikidata and other SPARQL endpoints\n\n==Get involved==\n*You can contribute to this project in various ways: matching data, data quality checks and data editing/upload.\n*You can give your feedback at [https://github.com/UB-Mannheim/HbAG-KG/issues GitHub HbAG-KG Issues].\n*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.\n*If you are new to knowledge graphs, check out materials at [https://github.com/shigapov/wikibase-knowledge-graphs Wikibase Knowledge Graphs].\n*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.",
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