Tagging of any digital content helps in its reuse and detecting over various channels: XML labels separate content from photographs, headers from body duplicate, subtitles from photograph credits, outlines from diagrams, et cetera.

Utilizing our exclusive programming we at NCR, allocate tags and catch metadata from:

  • Bibliographic information
  • Journal and book titles
  • Volume, issue, and page numbers
  • Authors and editors
  • Proceedings
  • Article and part history
  • ISSNs and ISBNs
  • Copyright data
  • Subject terms and watchwords


Semantic tagging

Planning and preparing content for platforms that don’t yet exist implies putting resources into content enrichment, or “smart” content.

Major content exists in unstructured, “level” records having long queues of text—Word docs, PDFs, and application documents, for example, Adobe InDesign. Records, for example, these are hard to process automatically in light of the fact that they require translation by individuals.

XML approaches this issue by organizing format and style. On the other hand, semantic tagging splendidly addresses what content looks like as well as what it implies.

Envision what a K-12 distributer could do with substance connected to the Common Core State Standards. Or then again how effortlessly intuitiveness could be added to eBook content that has been parsed semantically.

Since PCs can comprehend semantic labels, they can transform your heritage and recently made substance into smart content, making it simple to find by means of online search and simple to repurpose for new content items.