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The Rare Books & Manuscripts Section (RBMS) of the Association of College & Research Libraries (ACRL) maintains a set of seven relatively small controlled vocabularies. They are widely used in the cataloging of rare materials and special collections. With support from RBMS, these vocabularies have been converted to SKOS/RDF in order to support rare materials cataloging projects in LD4P.
Identify the data source: (Include the Data Source Name, its homepage URL, and any relevant API and/or download information to aid in caching.)
SKOS files (RDF/XML) are currently stored on GitHub and hosted on GitHub Pages (https://rbmsvocabs.github.io/) with links to download the RDF data for individual terms and for each vocabulary:
QA has the ability to provide contextual information about an entity during the look-up experience. In order to do so, decisions need to be made about how to index the RDF descriptions of entities in the dataset. Add a new tab and indexing information for the data source to the following spreadsheet: https://docs.google.com/spreadsheets/d/1rPvEoP9iYNkxJ0eWC8gXe3ci7e6mhW0da59xkGhadi0/edit?usp=sharing. (See the existing LCNAF tab in the spreadsheet as an example)
Next steps:
Once the above actions have taken place, a link to a YAML file will be shared with the requestor via a comment in the issue in order to complete Accuracy Test, https://github.com/LD4P/qa_server/wiki/Writing-Tests-for-an-Authority#accuracy-test. Edit directly the YAML file in Github, save. Create a Pull Request to be reviewed. Be sure to including a meaningful commit message (e.g. adding accuracy tests for Authority X).
Context on Accuracy Tests: In order to make sure the QA search behavior (recall and relevancy) are meeting expectations, QA uses YAML to define test parameters. These parameters include the ability to declare for a particular text string searched, the results should include a particular resource (identified by a URI) and what is the maximum position in the results the resource should be found.)
Please note, all requests for new data sources in QA will be prioritized by the LD4P2 project. Due to time restrictions there is no guarantee that all requests will be added to QA during the lifetime of the LD4P2 grant; regardless of resources it is still useful to know which datasets the community would find useful in such a lookup service.
The text was updated successfully, but these errors were encountered:
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Add RBMS (Rare Books and Manuscripts Section) Controlled Vocabs to QA
Add RBMS (Rare Books & Manuscripts Section) Controlled Vocabs to QA
Oct 17, 2019
The Rare Books & Manuscripts Section (RBMS) of the Association of College & Research Libraries (ACRL) maintains a set of seven relatively small controlled vocabularies. They are widely used in the cataloging of rare materials and special collections. With support from RBMS, these vocabularies have been converted to SKOS/RDF in order to support rare materials cataloging projects in LD4P.
SKOS files (RDF/XML) are currently stored on GitHub and hosted on GitHub Pages (https://rbmsvocabs.github.io/) with links to download the RDF data for individual terms and for each vocabulary:
Next steps:
Once the above actions have taken place, a link to a YAML file will be shared with the requestor via a comment in the issue in order to complete Accuracy Test, https://github.com/LD4P/qa_server/wiki/Writing-Tests-for-an-Authority#accuracy-test. Edit directly the YAML file in Github, save. Create a Pull Request to be reviewed. Be sure to including a meaningful commit message (e.g. adding accuracy tests for Authority X).
Context on Accuracy Tests: In order to make sure the QA search behavior (recall and relevancy) are meeting expectations, QA uses YAML to define test parameters. These parameters include the ability to declare for a particular text string searched, the results should include a particular resource (identified by a URI) and what is the maximum position in the results the resource should be found.)
Please note, all requests for new data sources in QA will be prioritized by the LD4P2 project. Due to time restrictions there is no guarantee that all requests will be added to QA during the lifetime of the LD4P2 grant; regardless of resources it is still useful to know which datasets the community would find useful in such a lookup service.
The text was updated successfully, but these errors were encountered: