Stand-off use cases

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This is a list of use cases for using stand-off markup in TEI. These examples are an attempt to build a shared common ground on which to move forward and are the (by-)product of a discussion on TEI-SOM. Initials indicate discussion members who find this use case important or motivating.

  • A third party publishes a text in non-TEI XML at a stable URL. You want to perform linguistic annotations on the text without loosing reference to the underlying third party text. A TEI text is built with references back to the original non-TEI XML.
  • A third party publishes a text in TEI at a stable URL. You want to perform linguistic annotations on the text without loosing reference to the underlying third party text. A new TEI text is built with references back to the original TEI.
  • A third party publishes a text in TEI XML at a stable URL. You want to perform linguistic annotations on the text without loosing reference to the underlying third party text. A TEI text is built with references back to the original XML. (SY)
  • There are multiple competing marking's up of linguistic information in a TEI text. The 'obvious' one is marked up and the others are relegated to stand-off markup. Tools are used to bring each alternative markup to the fore. (SY)
  • There are multiple competing marking's up of linguistic information in a TEI text. Rather than priveledge one marking up, all are relegated to stand-off markup. Tools are used to bring each alternative markup to the fore. (SY)
  • A third party publishes a text in non-TEI XML at a stable URL. You wish to use TEI-based tools to find and correct errors in original XML and feed those corrections back to the publisher in a format native to them. (SY)
  • Running an automated tool is run against an XML source, generating a TEI document which encodes information discovered in that source. For instance, you might run a process against an RSS news feed, and generate a TEI document containing analysis of it. You might store a copy of the feed with your TEI document, but you're not really interested in editing it; you're interested in what your process discovered about it (you might do sentiment analysis or something like that). Using TEI Pointers, you could point at target words or phrases in the RSS feed which form part of the analysis. from here (MH)