Data Acquisition Engine project

This project repository is for the different aspects of a data acquisition engine design and implementation.

More precisely this repository has:

1. Software design and architecture
   • Principle, diagrams, concrete decisions
2. Conversational agent elements
3. Example data collections
4. Demonstrations and presentations
5. Documentation
6. Organizational documents and diagrams
   • Mind-maps, org-mode files

(At this point) this project is based three other repositories:

1. DataAcquirer project, [AAr1]
2. Raku-DSL-English-DataAcquisitionWorkflows, [AAr2]
3. Raku-DSL-English-DataQueryWorkflows, [AAr3]

For a more detailed, but still brief introduction see the document "Data acquisition conversational agent".

For a long introduction see the slides and video recording of the presentation "Multi-language Data Acquisition Conversational Agent".

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Presentations

Multi-language Data Wrangling Conversational Agent

• Wolfram Technology Conference 2020 (WTC-2020)
• Markdown slides
• Video recording, 31 min

Multi-language Data Acquisition Conversational Agent

• Presented at Wolfram Technology Conference 2021 (WTC-2021)
• Markdown slides
• Video recording, 54 min, extended version of the WTC-2021 presentation

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References

Repositories

[AAr1] Anton Antonov, DataAcquirer project, (2021), ConversationalAgents at GitHub/antononcube.

[AAr2] Anton Antonov, DSL::English::DataAcquisitionWorkflows Raku package, (2021), GitHub/antononcube.

[AAr3] Anton Antonov, DSL::English::DataQueryWorkflows Raku package, (2020), GitHub/antononcube.

Videos

[AAv1] Anton Antonov, "Multi-language Data Acquisition Conversational Agent (extended version)", (2021), YouTube.com.