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.

See the complete documentation, or the API help for more information. 

{
    "batchcomplete": "",
    "query": {
        "normalized": [
            {
                "from": "Main_Page",
                "to": "Main Page"
            }
        ],
        "pages": {
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                    {
                        "index": "mediawiki_content_first",
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                        "version": [],
                        "source": {
                            "version": 39568,
                            "wiki": "mediawiki",
                            "namespace": 0,
                            "namespace_text": "",
                            "title": "Main Page",
                            "timestamp": "2024-02-01T15:56:19Z",
                            "create_timestamp": "2021-03-04T05:21:17Z",
                            "redirect": [],
                            "incoming_links": 0,
                            "category": [
                                "PublicPages"
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                            "external_link": [
                                "https://github.com/OpenSemanticLab",
                                "https://github.com/KIproBatt",
                                "https://gitlab.cc-asp.fraunhofer.de/KIproBatt",
                                "https://doi.org/10.1002/ente.202301305",
                                "https://doi.org/10.5281/zenodo.8418323"
                            ],
                            "outgoing_link": [
                                "Fraunhofer_ISC/Processes/KIproBatt_v1/Process",
                                "KIproBatt",
                                "JupyterLab",
                                "Battery_value_chain/Process/Cell_manufacturing",
                                "Battery_value_chain",
                                "Fraunhofer_ISC/Processes/KIproBatt_v1/Parameter/Drying/Temperature",
                                "Parameter_correlations/High_priority",
                                "KPI"
                            ],
                            "template": [
                                "Template:AccessControl/Public",
                                "OslTemplate:Helper/UI/Tiles/Grid",
                                "OslTemplate:Helper/UI/Tiles/Tile"
                            ],
                            "text": "Project Wiki and Semantic Dataspace based on OpenSemanticLab for the KIproBatt Cell Manufacturing (public) and Project Management (private). To access the JupyterLab Workflow Environment, visit kiprobatt.de/jupyter (private) Git Repos exist both on Github (archived dataset) and FhG Gitlab (data & AI tools). For citing the platform, please use https://doi.org/10.1002/ente.202301305. If you reuse our published data, consider citing our data repository: https://doi.org/10.5281/zenodo.8418323 . \ud83d\udcd6 Glossary Take a look at our interactive glossary - especially the Cell manufacturing Open Glossary \ud83d\udd01 Process Spec Explore our Semantic Process Definition - from the top down to single parameters Show Spec \u27fa Correlations Follow the correlations we have classified as important View Map \u2749 Production Knowledge Graph View the Knowledge Graph of a single produced cell Show Graph \u2749 Analytics Knowledge Graph View the Semantic Metadata Structure of an AI based data analysis Show Graph \ud83d\udcca KPIs Inspect our Key Performance Indicators (KPIs) Show KPIs BMBF InZePro Cluster 10/1/2020 \u2013 3/31/2024 Fraunhofer Institute for Silicate Research ISC Fraunhofer Institute for Casting, Composite and Processing Technology IGCV University of Bayreuth Aschaffenburg University of Applied Sciences (UAS) Simon Stier: simon.stier@isc.fraunhofer.de Due to its complexity and vast economic as well as ecological impact, the Li-ion battery cell production process is subject to ongoing digitization and optimization in order to increase cell performance while reducing resource consumption and production costs. In this context, artificial intelligence (AI) holds immense potential in leveraging manufacturing data to improve the cell production process. Hence, we aim to enhance cell production with AI-based end-to-end process monitoring, which covers all steps of the process chain. For this purpose, we develop a generic, software-implemented system architecture as reusable structure that allows us to connect the process data acquisition with a carefully constructed ontology-based semantic data space. Based on this system architecture, we attach machine learning approaches from two perspectives: In the first perspective, we apply both data and physics driven models to specific process parameters to detect and evaluate correlations and process anomalies. In the second perspective, we develop an overarching end-to-end process monitoring. For this application, we integrate the previously developed models into a dashboarding system in order to assess their relevance for cell performance and monitor the cells' state in production constantly and as real-time as possible. The combination of these two perspectives allows us to detect defects early in the production process, rapidly increase the quality performance and derive flexible adjustments to the process parameters in case of malfunction or defects. Thus, we expect to reduce the total cost of cell production as well as improve its carbon footprint by reductions in resource and energy consumption. Finally, the generic, semantically structured design enables an easy transfer to other research and industrial processes. Technically the KIproBatt plattform consists of the following OpenSource components MediaWiki: Most important Wiki framework, basis of Wikipedia Semantic MediaWiki: Semantic extension for MediaWiki JupyterLab: Cloud-based scripting environment, e. g. for Python MediaWiki provides the basic document-based data structure. Furthermore, extensive interfaces for human (editors) and machine (API) are provided. Templates and forms ensure uniformity and efficiency. The extension Semantic MediaWiki provides the Wiki with numerous possibilities for linking and annotating data. In addition, semantic queries can be sent directly to the Wiki and results can be visualized in a variety of ways. Via JupyterLab users can access data stored in the Semantic MediaWiki, process it and push the results back to the Wiki. This project is funded by the German Federal Ministry of Education and Research (BMBF), grant no. 03XP0309A-C.",
                            "source_text": "{{DISPLAYTITLE:KIproBatt Project Wiki}}{{AccessControl/Public}}\n\nProject Wiki and Semantic Dataspace based on [https://github.com/OpenSemanticLab OpenSemanticLab] for the [[Fraunhofer ISC/Processes/KIproBatt v1/Process|KIproBatt Cell Manufacturing (public)]] and [[KIproBatt|Project Management (private)]].\n\nTo access the [[JupyterLab]] Workflow Environment, visit [https://kiprobatt.de/jupyter kiprobatt.de/jupyter (private)]\n\nGit Repos exist both on [https://github.com/KIproBatt Github] (archived dataset) and [https://gitlab.cc-asp.fraunhofer.de/KIproBatt FhG Gitlab] (data & AI tools). <br>\n\nFor citing the platform, please use https://doi.org/10.1002/ente.202301305.\n\nIf you reuse our published data, consider citing our data repository: https://doi.org/10.5281/zenodo.8418323  .\n\n<br />\n\n==What can I do here?==\n{{OslTemplate:Helper/UI/Tiles/Grid<!--icons see https://www.vertex42.com/ExcelTips/unicode-symbols.html-->\n  |tiles=\n    {{OslTemplate:Helper/UI/Tiles/Tile\n      |image=\ud83d\udcd6\n      |icon2=\ud83d\udd0b\n      |title=Glossary \n      |description=Take a look at our interactive glossary - especially the [[Battery value chain/Process/Cell manufacturing|Cell manufacturing]]\n      |link=[[Battery value chain|Open Glossary]]\n    }}\n    {{OslTemplate:Helper/UI/Tiles/Tile\n      |image=\ud83d\udd01\n      |icon2=\ud83d\udd0b\n      |title=Process Spec\n      |description=Explore our Semantic Process Definition - from the [[Fraunhofer ISC/Processes/KIproBatt v1/Process|top]] down to [[Fraunhofer ISC/Processes/KIproBatt v1/Parameter/Drying/Temperature|single parameters]]\n      |link=[[Fraunhofer ISC/Processes/KIproBatt v1/Process#Graph|Show Spec]] \n    }}\n    {{OslTemplate:Helper/UI/Tiles/Tile\n      |image=\u27fa<!-- [[File:Erlenmeyer_Flask_The_Noun_Project.svg]] -->\n      |icon2=\u2047<!-- \u27fa\u2754\u221d\u223c\u2753 -->\n      |title=Correlations\n      |description=Follow the correlations we have classified as [[Parameter_correlations/High_priority|important]]\n      |link=[[Parameter_correlations/High_priority|View Map]]\n      |tooltip=\n      |link_label=View Map\n    }}\n    {{OslTemplate:Helper/UI/Tiles/Tile\n      |image=\u2749\n      |icon2=\ud83d\udee0<!--\ud83d\udda7-->\n      |title=Production Knowledge Graph\n      |description=View the Knowledge Graph of a single produced cell\n      |link_label=Show Graph\n      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   }}\n    {{OslTemplate:Helper/UI/Tiles/Tile\n      |image=\u2749\n      |icon2=\ud83d\udd0d<!--\ud83d\udda7-->\n      |title=Analytics Knowledge Graph\n      |description=View the Semantic Metadata Structure of an AI based data analysis\n      |link_label=Show Graph\n      |url=https://kiprobatt.de/wiki/Special:RunQuery/LabProcess/Query/InteractiveSemanticGraph?title=Special%3ARunQuery%2FLabProcess%2FQuery%2FInteractiveSemanticGraph&form=LabProcess%2FQuery%2FInteractiveSemanticGraph&target=&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph=root%3DLabObject%253AOSLa8ba82f6beb348f5a9364cb0260efb78%26properties%255B0%255D%3D-IsSubprocessOf%26properties%255B1%255D%3D-HasInput%26properties%255B2%255D%3D-HasOutput%26properties%255B3%255D%3DHasFile%26properties%255B4%255D%3DHasPredecessor%26properties%255B5%255D%3D-IsObjectParameterOf%26properties%255B6%255D%3D-HasFile%26properties%255B7%255D%3DHasObject%26properties%255B8%255D%3DIsObjectParameterOf%26properties%255B9%255D%3D-HasObject%26properties%255Bis_list%255D%3D1%26permalink%255Bis_checkbox%255D%3Dtrue%26autoexpand%255Bis_checkbox%255D%3Dtrue%26autoexpand%255Bvalue%255D%3D%26depth%3D50&_run=&pfRunQueryFormName=LabProcess%2FQuery%2FInteractiveSemanticGraph&wpRunQuery=&pf_free_text=&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Broot%5D=LabObject%3AOSL74f8dd7dbd8d47abbc9b28d679d105ba&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-IsSubprocessOf&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasInput&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasOutput&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=HasFile&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=HasPredecessor&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-IsObjectParameterOf&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasFile&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=HasObject&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=IsObjectParameterOf&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasObject&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5Bis_list%5D=1&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bpermalink%5D%5Bis_checkbox%5D=true&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bautoexpand%5D%5Bis_checkbox%5D=true&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bautoexpand%5D%5Bvalue%5D=&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bdepth%5D=50&wpRunQuery=&pf_free_text=\n    }}\n    {{OslTemplate:Helper/UI/Tiles/Tile\n<!--       |icon1= -->\n      |image=\ud83d\udcca<!-- \u274c \ud83d\udcc8\ud83d\udcc9-->\n      |icon2=\ud83d\udea6<!-- \u2705 -->\n      |title=KPIs\n      |description=Inspect our [[KPI|Key Performance Indicators (KPIs)]]\n<!--       |url=/wiki.. -->\n      |link=[[KPI|Show KPIs]]\n      |tooltip=\n      |link_label=Show KPIs\n    }}\n}}\n<!-- *Take a look at our interactive [[Battery value chain]] glossary - especially the [[Battery value chain/Process/Cell manufacturing|Cell manufacturing]] from [[Battery value chain/Process/Cell manufacturing/Separation|Separation]] to [[Battery value chain/Process/Cell manufacturing/EOL Testing|EOL_Testing]]\n*Explore our Semantic Process Definition - from the [[Fraunhofer ISC/Processes/KIproBatt v1/Process|top]] down to [[Fraunhofer ISC/Processes/KIproBatt v1/Parameter/Drying/Temperature|single parameters]]\n*Follow the correlations we have classified as [[Parameter_correlations/High_priority]]\n*Overview the visualization of the complete Semantic Metadata Structure of a {{#queryformlink:form=LabProcess/Query/InteractiveSemanticGraph|link text=manufactured cell|link type=NOTpost button\n|query 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[https://kiprobatt.de/wiki/Special:RunQuery/LabProcess/Query/InteractiveSemanticGraph?title=Special%3ARunQuery%2FLabProcess%2FQuery%2FInteractiveSemanticGraph&form=LabProcess%2FQuery%2FInteractiveSemanticGraph&target=&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph=root%3DLabObject%253AOSLa8ba82f6beb348f5a9364cb0260efb78%26properties%255B0%255D%3D-IsSubprocessOf%26properties%255B1%255D%3D-HasInput%26properties%255B2%255D%3D-HasOutput%26properties%255B3%255D%3DHasFile%26properties%255B4%255D%3DHasPredecessor%26properties%255B5%255D%3D-IsObjectParameterOf%26properties%255B6%255D%3D-HasFile%26properties%255B7%255D%3DHasObject%26properties%255B8%255D%3DIsObjectParameterOf%26properties%255B9%255D%3D-HasObject%26properties%255Bis_list%255D%3D1%26permalink%255Bis_checkbox%255D%3Dtrue%26autoexpand%255Bis_checkbox%255D%3Dtrue%26autoexpand%255Bvalue%255D%3D%26depth%3D50&_run=&pfRunQueryFormName=LabProcess%2FQuery%2FInteractiveSemanticGraph&wpRunQuery=&pf_free_text=&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Broot%5D=LabObject%3AOSL74f8dd7dbd8d47abbc9b28d679d105ba&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-IsSubprocessOf&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasInput&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasOutput&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=HasFile&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=HasPredecessor&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-IsObjectParameterOf&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasFile&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=HasObject&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=IsObjectParameterOf&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasObject&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5Bis_list%5D=1&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bpermalink%5D%5Bis_checkbox%5D=true&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bautoexpand%5D%5Bis_checkbox%5D=true&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bautoexpand%5D%5Bvalue%5D=&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bdepth%5D=50&wpRunQuery=&pf_free_text= AI image segmentation] and [https://kiprobatt.de/wiki/Special:RunQuery/LabProcess/Query/InteractiveSemanticGraph?title=Special%3ARunQuery%2FLabProcess%2FQuery%2FInteractiveSemanticGraph&form=LabProcess%2FQuery%2FInteractiveSemanticGraph&target=&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph=root%3DLabObject%253AOSL8198d56d025b4b81aa28b60758c3375c%26properties%255B0%255D%3D-IsSubprocessOf%26properties%255B1%255D%3D-HasInput%26properties%255B2%255D%3D-HasOutput%26properties%255B3%255D%3DHasFile%26properties%255B4%255D%3DHasPredecessor%26properties%255B5%255D%3D-IsObjectParameterOf%26properties%255B6%255D%3D-HasFile%26properties%255B7%255D%3DIsObjectParameterOf%26properties%255B8%255D%3D-HasObject%26properties%255B9%255D%3DHasObject%26properties%255Bis_list%255D%3D1%26permalink%255Bis_checkbox%255D%3Dtrue%26autoexpand%255Bis_checkbox%255D%3Dtrue%26autoexpand%255Bvalue%255D%3D%26depth%3D6&_run=&pfRunQueryFormName=LabProcess%2FQuery%2FInteractiveSemanticGraph&wpRunQuery=&pf_free_text=&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Broot%5D=LabObject%3AOSL8198d56d025b4b81aa28b60758c3375c&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-IsSubprocessOf&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasInput&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasOutput&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=HasFile&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=HasPredecessor&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-IsObjectParameterOf&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasFile&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=IsObjectParameterOf&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=-HasObject&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5B%5D=HasObject&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bproperties%5D%5Bis_list%5D=1&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bpermalink%5D%5Bis_checkbox%5D=true&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bautoexpand%5D%5Bis_checkbox%5D=true&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bautoexpand%5D%5Bvalue%5D=&OslTemplate%3ALabProcess%2FQuery%2FInteractiveSemanticGraph%5Bdepth%5D=7&wpRunQuery=&pf_free_text= electrochemical feature extraction]\n*Inspect our [[KPI|Key Performance Indicators (KPIs)]]\n*View related ontologies at [https://onto-wiki.eu onto-wiki.eu]\n*... even more in the future -->\n\n<br />\n==About '''KIproBatt''' - ''Intelligent battery cell manufacturing with AI-supported process monitoring based on a generic system architecture''==\n<br />\n\n====Funding authority:====\nBMBF InZePro Cluster\n<br />\n\n====Project duration:====\n10/1/2020 \u2013 3/31/2024\n\n====Partners:====\n\n*Fraunhofer Institute for Silicate Research ISC\n*Fraunhofer Institute for Casting, Composite and Processing Technology IGCV\n*University of Bayreuth\n*Aschaffenburg University of Applied Sciences (UAS)\n\n====Contact:====\n\n*Simon Stier: simon.stier@isc.fraunhofer.de\n\n====Abstract:====\nDue to its complexity and vast economic as well as ecological impact,  the Li-ion battery cell production process is subject to ongoing digitization  and optimization in order to increase cell performance while reducing  resource consumption and production costs.\n\nIn this context, artificial intelligence (AI) holds immense potential  in leveraging manufacturing data to improve the cell production process.  Hence, we aim to enhance cell production with AI-based end-to-end process  monitoring, which covers all steps of the process chain. For this purpose, we  develop a generic, software-implemented system architecture as reusable  structure that allows us to connect the process data acquisition with a  carefully constructed ontology-based semantic data space. Based on this  system architecture, we attach machine learning approaches from two  perspectives: In the first perspective, we apply both data and physics driven  models to specific process parameters to detect and evaluate correlations and  process anomalies. In the second perspective, we develop an overarching  end-to-end process monitoring. For this application, we integrate the  previously developed models into a dashboarding system in order to assess  their relevance for cell performance and monitor the cells' state in  production constantly and as real-time as possible.\n\nThe combination of these two perspectives allows us to detect defects early in the production process, rapidly increase the quality performance and derive flexible adjustments to the process parameters in case of malfunction or defects. Thus, we expect to reduce the total cost of cell production as well as improve its carbon footprint by reductions in resource and energy consumption. Finally, the generic, semantically structured design enables an easy transfer to other research and industrial processes.\n\n==About the '''KIproBatt Dataspace'''==\n\n\nTechnically the KIproBatt plattform consists of the following OpenSource components\n\n*MediaWiki: Most important Wiki framework, basis of Wikipedia\n*Semantic MediaWiki: Semantic extension for MediaWiki\n*JupyterLab: Cloud-based scripting environment, e. g. for Python\n\nMediaWiki provides the basic document-based data structure. Furthermore, extensive interfaces for human (editors) and machine (API) are provided. Templates and forms ensure uniformity and efficiency. The extension Semantic MediaWiki provides the Wiki with numerous possibilities for linking and annotating data. In addition, semantic queries can be sent directly to the Wiki and results can be visualized in a variety of ways. Via JupyterLab users can access data stored in the Semantic MediaWiki, process it and push the results back to the Wiki.\n\n\nThis project is funded by the German Federal Ministry of Education and Research (BMBF), grant no. 03XP0309A-C.\n<br />\nhttps://kiprobatt.de/w/pub/BMBF_gefoerdert_2017_en.jpg\n<br />",
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                            "heading": [
                                "What can I do here?",
                                "About KIproBatt - Intelligent battery cell manufacturing with AI-supported process monitoring based on a generic system architecture",
                                "Funding authority:",
                                "Project duration:",
                                "Partners:",
                                "Contact:",
                                "Abstract:",
                                "About the KIproBatt Dataspace"
                            ],
                            "opening_text": "Project Wiki and Semantic Dataspace based on OpenSemanticLab for the KIproBatt Cell Manufacturing (public) and Project Management (private). To access the JupyterLab Workflow Environment, visit kiprobatt.de/jupyter (private) Git Repos exist both on Github (archived dataset) and FhG Gitlab (data & AI tools). For citing the platform, please use https://doi.org/10.1002/ente.202301305. If you reuse our published data, consider citing our data repository: https://doi.org/10.5281/zenodo.8418323 .",
                            "auxiliary_text": [],
                            "display_title": "KIproBatt Project Wiki"
                        }
                    }
                ]
            }
        }
    }
}
Retrieved from "https://kiprobatt.de/wiki/Special:ApiHelp"