Encoding models for scholarly literature
Oh la la
Your session has expired but don’t worry, your message
has been saved.Please log in and we’ll bring you back
to this page. You’ll just need to click “Send”.
Your evaluation is of great value to our authors and readers. Many thanks for your time.
When you're done, click "publish"
Only blue fields are mandatory.
Your mailing list is currently empty.
It will build up as you send messages
and links to your peers.
besides you has access to this list.
Enter the e-mail addresses of your recipients in the box below. Note: Peer Evaluation will NOT store these email addresses log in
Your message has been sent.
Full text for this article was not available? Send a request to the author(s)
: Encoding models for scholarly literature
: Martin Holmes, Laurent Romary
Abstract : We examine the issue of digital formats for document encoding, archiving and publishing, through the specific example of "born-digital" scholarly journal articles. We will begin by looking at the traditional workflow of journal editing and publication, and how these practices have made the transition into the online domain. We will examine the range of different file formats in which electronic articles are currently stored and published. We will argue strongly that, despite the prevalence of binary and proprietary formats such as PDF and MS Word, XML is a far superior encoding choice for journal articles. Next, we look at the range of XML document structures (DTDs, Schemas) which are in common use for encoding journal articles, and consider some of their strengths and weaknesses. We will suggest that, despite the existence of specialized schemas intended specifically for journal articles (such as NLM), and more broadly-used publication-oriented schemas such as DocBook, there are strong arguments in favour of developing a subset or customization of the Text Encoding Initiative (TEI) schema for the purpose of journal-article encoding; TEI is already in use in a number of journal publication projects, and the scale and precision of the TEI tagset makes it particularly appropriate for encoding scholarly articles. We will outline the document structure of a TEI-encoded journal article, and look in detail at suggested markup patterns for specific features of journal articles.
Leave a comment
This contribution has not been reviewed yet. review?