ISO-TimeML Semantics for Interlinking Annotations

Harry Bunt, Alex Chengyu Fang, Kiyong Lee, Volha Petukhova, James Pustejovsky, Purificação Silvano


Abstract
This paper describes a step in the development of a methodology for combining annotation made with different annotation schemes. The methodology, called ‘interlinking’, assumes that different annotations of the same data will contain certain elements that refer to the same entities. This can be represented by a set of ‘identity links’. These links are used for constructing a single, integrated annotation structure at the level of abstract syntax with a semantic interpretation. In this paper we focus on the interlinking of annotations of time and events with ISO-TimeML (ISO 24617-1:2012) and quantification with QuantML (ISO 24617-12:2025).interlinking annotations is in practice only feasible if the respective annotation schemes use the same or convertible representation and interpretation formalisms. Since QuantML and ISO-TimeML use different formalisms and QuantML has a more fully developed semantics than ISO-TimeML, we developed a new, DRT–based semantics for ISO-TimeML which is presented and discussed in this paper.
Anthology ID:
2026.isa-1.13
Volume:
Proceedings of the 22nd Joint ACL - ISO Workshop on Interoperable Semantic Annotation and Representation (ISA-22) @ LREC 2026
Month:
May
Year:
2026
Address:
Palma, Mallorca (Spain)
Editor:
Harry Bunt
Venues:
ISA | WS
SIG:
Publisher:
ELRA Language Resources Association (ELRA)
Note:
Pages:
123–133
Language:
External URL:
https://lrec.elra.info/lrec2026-ws-isa-13
DOI:
10.63317/4m8y73crewu4
Bibkey:
Cite (ACL):
Harry Bunt, Alex Chengyu Fang, Kiyong Lee, Volha Petukhova, James Pustejovsky, and Purificação Silvano. 2026. ISO-TimeML Semantics for Interlinking Annotations. In Proceedings of the 22nd Joint ACL - ISO Workshop on Interoperable Semantic Annotation and Representation (ISA-22) @ LREC 2026, pages 123–133, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):
ISO-TimeML Semantics for Interlinking Annotations (Bunt et al., ISA 2026)
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