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Document structure and tagging provide a platform to address a number of requests
D743  Category: Buzzword    Status: Submitted


Providing a mechanism for document structure (e.g., to distinguish between body text and headings) and tagging (identifying special pieces of text, such as citations) will provide a platform to address many current requests and future needs. One of the fundamental evolutions in text processing over the last 30 years has been document structure, and for good reason. As applied to Buzzword, ...

  • Document structure and semantic tagging provide natural places to attach styles, simplifying management of styles within a document (or set of related documents)
  • Document structure enables automated creation of a Table of Contents (TOC) and books for PDF creation
  • Document structure facilitates collaboration by allowing systematic styling rather than ad hoc styling, which is unmanageable with multiple authors of a document
  • Document structure allows the use of a word processor for longer, non-trivial documents by providing a systematic way to break up the flow and [re-]identify portions hierarchically
  • Document structure and tagging enable authors to repurpose content for other media or delivery mechanisms
  • Document structure and tagging would enable more meaningful search results when searching through Buzzword document as the web (Buzzword's home) continues its evolution toward semantic content and searches.

WYSIWYG editing, as Buzzword delivers brilliantly, was a great evolution in text editing, and dramatically reduced the effort necessary to create the desired document. But by the late 1980s and early 1990s it became apparent that wasn't enough. To create longer documents, to repurpose content, or to collaborate on documents with other users, requires an intrinsic mechanism for uniform markup, rather than ad hoc markup.

 

The Buzzword developers have a great opportunity to leapfrog the competition now and provide a simple mechanism to address document structure, styling, longer documents, collaboration, and meaningful semantic searches.

 

 


 


All Votes
Vote   Alessio   Jun 16 2009
Vote   mohga   Jun 5 2009
Vote   Herwig   May 19 2009
Vote   jerryleckie   May 18 2009

 
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