What is ISO 24613-2 about?
ISO 24613-2 describes the machine-readable dictionary (MRD) model, a metamodel for representing data stored in a variety of electronic dictionary subtypes, ranging from direct support for human translators to support for machine processing.
ISO 24613-2 specifies various implementation use cases, and where appropriate describes LMF compliant serializations that fit various application contexts.
Who is ISO 24613-2 for?
ISO 24613-2 on LMF is relevant to:
- IT industry
- Progammers and developers
- Data management companies
Why should you use ISO 24613-2?
Machine-readable dictionary (MRD) is a dictionary stored as machine (computer) data instead of being printed on paper. It is an electronic dictionary and lexical database.
The objective of ISO 24613-2 is to enable flexible design methods to support the development of machine-readable dictionaries for different purposes while enabling cross-comparisons of different designs and a basis for developing assessments of standards conformance.
The scope of supported design goals ranges from simple to complex human-oriented MRDs, both monolingual and bilingual, lexicons that support conceptual-lexical systems through links with ontological resources, rigorously constrained lexicons for supporting machine processes, and lexicons that provide an extensional description of the morphology of lexical entries.
Overall, with guidance from ISO 24613-2, you can efficiently manage data amongst lexical resources and merge a large number individual electronic resources to form extensive global electronic resources. This can assist in establishing robust natural language processing applications.
What’s changed since the last update?
BS ISO 24613-2:2020 supersedes BS ISO 24613:2008. BS ISO 24613-2:2020 includes some technical changes with respect to BS ISO 24613:2008. These include:
This edition merges two normative annexes from the previous edition, Annex A, Morphology extension, and Annex C, Machine-readable dictionary extension, providing a more cohesive description of the key structures (classes and associations) found in that edition. The cross-reference (CrossREF) model introduced in Part 1, Core model, of this edition, provides a new capability for correlating lexical features across different form and sense classes. In addition, the CrossREF model has replaced the List of Components and Component classes, enabling a more extensible and flexible capability for managing multiword expressions. The metamodel of generalization by typing introduced in Part 1 provides a more rigorous and unambiguous framework for applying LMF modeling mechanisms in ways that enable greater editorial freedom and support the comparison of different LMF conformant designs. This edition has kept most of the informative examples found in the previous edition (deleting only a few redundant examples) and has added new examples to illustrate new modelling features. There have been some class name changes, but no changes in the underlying concepts of the previously existing classes.
