Item:OSW70b4d6464c1d44a887eb86e3b39b8751

Structed Data Workshop ID: OSW70b4d6464c1d44a887eb86e3b39b8751 | UUID: 70b4d646-4c1d-44a8-87eb-86e3b39b8751 | 📦: world.opensemantic.meta.docs.core
ID	OSW70b4d6464c1d44a887eb86e3b39b8751
UUID	70b4d646-4c1d-44a8-87eb-86e3b39b8751
Label	Structed Data Workshop
Machine compatible name	StructedDataWorkshop
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Type(s)/Category(s)	Tutorial

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View as slide show

State of the art regarding data standards

• Documents
  • Formats themselves are highly standardized (pdf, MS Office, OpenDocument family)
  • Support for metadata, but implementation in the UI mostly limited to generic information
• Images
  • Formats themselves are highly standardized (png, jpeg, tiff, etc.)
  • Metadata beyond generic information only supported by special formats like tiff
• Tabular data
  • CSV widely used, supported by almost all software systems
  • Extensive degrees of freedom almost always require prior knowledge for correct interpretation
• Domain-specific data (chemistry, engineering, computer science, etc.)
  • Depends strongly on the use case
• How can we generate arbitrary structured (meta)data in a well-defined format?
  • e. g. for processes running in different labs around the world?

The JSON Standard Family

• What can be expressed directly in JSON, what can be described indirectly? => JSON Tutorial
• How do references work in JSON?
• How can a JSON document be specified and validated? (json-schema) => JSON-SCHEMA Tutorial
• How can the meaning of data be defined? (json-ld) => JSON-LD Tutorial

Graph graph-01

Application & Hands-on

• ... using OpenSemanticLab as example implementation => OO-LD Tutorial
• UI generation (json-schema based editors & renderers)
• Knowledge Graph Generation
• Code Generation (python dataclasses) => osw python package

Tutorial Graph

Graph graph-01

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