Abstract
The ISO working group on semantic annotation aims to adopt the UMR formalism to represent dynamic information involving motions and their embedding grounds. The paper details how ISO’s XML-based temporal and spatial annotations, involving motions and spatio-temporally conditioned event-paths, will be converted to AMR or UMR forms. It also attempts to enrich the representation of dynamic information with the integrated spatio-temporal annotation scheme that accommodates firstorder dynamic logic, as briefly noted. The main motivation of such an effort is to make spatiotemporal annotations and related dynamic information easily understandable by artificial agents like robots to act. Our approach bridges ISO’s richly specified standards with the taskoriented expressiveness of UMR and dynamic logic. This integration paves the way for seamless downstream use of spatio-temporal annotations in dialogue systems, simulation environments, and embodied agents.
©2025 Association for Computational Linguistics
©2025 Association for Computational Linguistics
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 6th International Workshop on Designing Meaning Representations |
| Editors | Kenneth Lai, Shira Wein |
| Publisher | Association for Computational Linguistics |
| Pages | 49-58 |
| Number of pages | 10 |
| ISBN (Print) | 979-8-89176-296-1 |
| Publication status | Published - Aug 2025 |
| Event | The 6th International Workshop on Designing Meaning Representations - Charles University, Prague, Czech Republic Duration: 4 Aug 2025 → 4 Aug 2025 Conference number: 6 https://dmr2025.github.io |
Conference
| Conference | The 6th International Workshop on Designing Meaning Representations |
|---|---|
| Abbreviated title | DMR 2025 |
| Place | Czech Republic |
| City | Prague |
| Period | 4/08/25 → 4/08/25 |
| Internet address |
Bibliographical note
Research Unit(s) information for this publication is provided by the author(s) concerned.Research Keywords
- dynamic information
- dynamic space
- embedding ground
- motion
- spatio-temporal annotation
- UMR
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/