Tenders Are Invited For Software Programming And Consultancy Services – Lv For Development Of Modular Dap Co ... in Germany

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Software Programming And Consultancy Services – Lv For Development Of Modular Dap Components For Data Refinement And Integration Non/Partially Automatic. Processes Exp. Workflows. The Process Engineering Department Of The Leibniz Iwt Researches And Develops Digital Procedures And Methods To Digitally Map Process Engineering Processes, Their Products And Materials, Such As Particles, And The Underlying Technological Knowledge. For This Purpose, Ontologies Are Developed As Subsystems Of Knowledge Graphs, But Also Methods For Mapping The Experimental Workflows Underlying The Processes. These Workflows Cannot Be Automated And Take Place Physically In Laboratories And Factory Halls, I.E. They Are Often Processes That Can Only Be Experienced On Site On The Specific Machine And Device-Related Infrastructure. For Mapping In The Form Of Data Acquisition Pipelines (Daps), Very Close Cooperation Is Required With The Technical And Scientific Employees Working There, As Well As Employees In The Laboratories, In Order To Be Able To Record And Digitally Encode The Many Individual Work Steps. The Goal Is To Express The Intrinsic Knowledge Of These Employees As Explicit Knowledge And Then Finally Be Able To Encode It Digitally. The Following Tasks Should Be Commissioned: - Recording And Mapping The Following Experimental Workflows In The Context Of A Dap In Semantic Form. The Ontologies To Be Developed For This Must Be Based On The Core Ontology Pmdco Version 3 (Https://Github.Com/Materialdigital/Core-Ontology) Of The Materialdigital Project. The Following Usage Scenarios Must Be Implemented. In Addition, Further Scenarios Will Arise Over The Course Of The Project, Which Means That The Specified Scenarios Can Be Viewed As Representative: O With The Already Existing Heat Treatment Ontology (Hto), Branchable Workflows That Occur When Hardening Materials Must Be Represented Ontologically. To Do This, The Processes Must Be Understood With The Help Of The Technical Employees Involved During On-Site Appointments And Then Represented In A Knowledge Graph. O Gaining An Understanding Of The Representation Of Domain-Specific Workflows Is Also Necessary When Designing An Ontology That Describes The Generation Of Particles Using The Metal Spray Atomization (Fsp) Process. Here Too, The Workflow Must Be Recorded And Documented On Site In Close Communication With Technical And Scientific Employees In The Laboratories. Analogous To The Hto, An Ontological Representation Must Be Derived From The Documentation. The Ontologization Data Flow Takes Place Via An Electronic Laboratory Notebook (Eln). O The Development Of A Microstructure Ontology Must Be Evaluated, Supplemented And Implemented In Cooperation With Project Participants. Microstructural Analysis Also Includes The Representation Of Light Microscopic Measurement Methods. • Creation Of All Programs Necessary For The Necessary Data Exchange, Using The Interfaces (Apis) On The Systems Or The Eln For The Semantic Storage Of The Data, In One

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