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== Why (Semantic) MediaWiki? == | |||
* already powers large public knowledge bases (Wikipedia, Wikidata) | * already powers large public knowledge bases (Wikipedia, Wikidata) | ||
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*** other options like mustache and markdown | *** other options like mustache and markdown | ||
** > 1000 [[mediawikiwiki:Category:All_extensions|extensions]]: UI, data handling, custom content, etc. | ** > 1000 [[mediawikiwiki:Category:All_extensions|extensions]]: UI, data handling, custom content, etc. | ||
* ... but it's just a container, the core JSON-based concept is highly portable | * ... but it's just a container, the core JSON-based concept is highly portable | ||
==Link to Ontologies== | ==Link to Ontologies== | ||
Revision as of 12:58, 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 |
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Description
Introduction into the open-source software stack OpenSemanticLab: https://github.com/OpenSemanticLab/mediawiki-extensions-OpenSemanticLab
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| Type(s)/Category(s) | 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 |
doi: https://doi.org/10.5281/zenodo.8086418
Background
from: https://kiprobatt.de
Motivation
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OpenSemanticWorld Concept
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Technology Stack
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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 (see: Python Examples)
- Combination with data schemas, e. g. to populate autocomplete fields
- Not just a static documentation: Planned community interaction features
- Comments => Github Issues,
- Edits => Re-export => Github Pull request
Usecases and Applications
jsondata
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