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Revision as of 10:18, 27 June 2023
OSW Introduction [OSWdb485a954a88465287b341d2897a84d6] | |
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ID | OSWdb485a954a88465287b341d2897a84d6 |
UUID | db485a95-4a88-4652-87b3-41d2897a84d6 |
Label | OSW Introduction |
Machine compatible name | OswIntroduction |
Statements (outgoing) | |
Statements (incoming) | |
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Keywords |
Description
Introduction into the open-source software stack OpenSemanticLab: https://github.com/OpenSemanticLab/mediawiki-extensions-OpenSemanticLab
Item | |
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Type(s)/Category(s) | Tutorial |
CreativeWork |
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Article |
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Tutorial | |
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Prerequisites (required) | |
Prerequisites (optional) | |
Follow-up (recommended) | Transcend wikitext to store and edit structured & linked data OSW Python Package OSW Ontology Import Item:OSW92619b0700984fe7913e5fbbd7f194dc |
Motivation
[Edit]
OSW
[Edit]
Technology Stack
[Edit]
Why (Semantic) MediaWiki?
- already powers large public knowledge bases (Wikipedia, Wikidata)
- Provides fundmental features
- User management, OAuth / OIDC
- Multi-Language / i18n support
- API and botframeworks to automate everything
- Multi-Content-Slots and Revisions / Versioning
- Core database (SQL), multiple Triplestores (SPARQL), ElasticSearch
- One of the most powerful (yet complex) template language
- with visual editing
- other options like mustache and markdown
- > 1000 extensions: UI, data handling, custom content, etc.
- ... but it's just a container, the core JSON-based concept is highly portable
Link to Ontologies
- Ontology classes are just specific schemas / schemas represent "icons" of "real objects"
- Automatic import via python:
- Combination with data schemas, e. g. to populate autocomplete fields
- Planned: Comments => Issues, Edits => Reexport => Pull request
Link to Ontologies: Dual hierarchy
Link to Ontologies: Example
Usecases and Applications
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uuid | "db485a95-4a88-4652-87b3-41d2897a84d6" | |||||
name | "OswIntroduction" | |||||
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