Standards Development

Scope

This document defines how the XMP model can be serialized to describe a Semantic Unit (SU) by:

a) introducing the concept of Semantic Unit (SU);

b) specifying a metadata data model to describe a SU;

c) providing a model to define a SU; and

d) recommending XMP serialization syntaxes for SU.

This document broadens the concept of ISO 16684-1 (XMP) so that XMP can be used to describe a SU. A new flexible way of defining and describing SUs will bring innovation to textual and non-textual content, metadata, linked data, big data and artificial intelligence.

Purpose

By enabling this part of ISO standard, textual and non-textual content can be described, used and shared at a fine level and across-file level. This information can be used for multiple purposes, including content access, digital preservation, scientific research and publishing. Recent developments in computer vision and machine learning make it possible to create, link, undermine semantics from documents, videos and audios. Machines can learn and create meaningful metadata using a variety of AI machine learning models. This creates existing opportunities in content generation, use and re-use. For instance, general public benefits from semantic-rich content for enhanced knowledge access, discovery and integration (e.g. Citation, Index linked, see use case below), while scholars can utilize semantic-rich content for content discovery, integration and scholarly communication. For business, the availability of semantic-rich content creates new opportunities for lower cost, higher productivity, and better user satisfaction. Machines can also utilize semantic-rich content and metadata for a variety of purposes.