Name: SIST ISO 24617-14:2024 — Language resource management - Semantic annotation framework (SemAF) - Part 14: Spatial semantics
SKU: SIST ISO 24617-14:2024
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Abstract

Overview

SIST ISO 24617-14:2024 - Language resource management - Semantic annotation framework (SemAF) - Part 14: Spatial semantics specifies a formal, model-theoretic semantics for spatial annotation structures defined in ISO 24617-7:2020 (isoSpace). The standard defines how to translate spatial annotation structures in natural language into semantic forms expressed in a type-theoretic first-order logic, and how to interpret those forms with respect to a model M that anchors language to portions of the world (denotational/reference grounding).

Keywords: ISO 24617-14, SemAF, spatial semantics, isoSpace, semantic annotation, spatial information, model-theoretic semantics.

Key technical topics and requirements

Scope & Purpose
- Extends ISO 24617-7 by providing a formal semantics for its abstract syntax.
- Two main tasks: (a) translation of annotation structures to semantic forms; (b) model-theoretic interpretation of those semantic forms.
Metamodel
- Covers six core categories for spatial markup: spatial entities (places, paths, event-paths), spatial relators (signals), spatial measures, events & motions, static spatial relations (configurational/orientational/metric), and dynamic spatial relations (motions and event-paths).
Semantic types
- Defines an extended set of basic types used in the semantic representation: t (truth values), e (entities), i (time points), p (spatial points), v (events), m (measures), int (intervals), vec (vectors).
- Introduces group operator (•) and functional/subtyping constructors (→, ⨉, ⊑) to form derived types (e.g., v → t for eventuality descriptors, int → p for static paths).
Semantic forms & model theory
- Semantic forms (logical forms) are produced from annotation structures and are interpretable under a model-theoretic semantics.
- Interpretation function ⟦σ(a)⟧ maps a semantic form σ(a) to its denotation in model M.
- Supports neo-Davidsonian-style representations for events and agent relations.

Practical applications

Computational linguistics and NLP: consistent semantic annotation for corpora that include spatial expressions.
AI & reasoning: enables spatio-temporal inference, question answering, and semantic parsing involving location, motion, and spatial relations.
GIS, robotics, autonomous systems: grounding natural-language spatial instructions into formal models for navigation and planning.
Language resource development: interoperable annotation formats for multilingual spatial corpora and toolchains.

Who should use this standard

NLP researchers and semanticists
Corpus annotators and language engineers
AI and robotics developers working with spatial language
Tool and platform developers for annotation, semantic parsing, and spatio-temporal reasoning
Standards bodies and ontology engineers concerned with interoperability of spatial data

Related standards

ISO 24617-7:2020 (Spatial information / isoSpace) - abstract syntax and annotation scheme that ISO 24617-14 formally interprets.
Other parts of the ISO 24617 (SemAF) series for complementary semantic annotation tasks.

SIST ISO 24617-14:2024 PDF

Похожие стандарты

Abstract

Overview

Key technical topics and requirements

Practical applications

Who should use this standard

Related standards

Технические детали

ISO 24617-7:2020

Language resource management — Semantic annotation framework — Part 7: Spatial information

BS ISO 24617-14:2023

Language resource management. Semantic annotation framework (SemAF). Spatial semantics.

SIST ISO 24617-7:2021

Language resource management -- Semantic annotation framework -- Part 7: Spatial information

BS ISO 24617-12:2025

Language resource management. Semantic annotation framework (SemAF). Quantification.