momentstendk
Momentstendk is a hypothetical framework for capturing and analyzing discrete moments within datasets, emphasizing temporal context and cross-domain metadata. It proposes a lightweight data model and conventions for describing moments, their origins, and relationships.
The name blends "moments" with a provisional suffix designed to evoke temporal encoding of known dimensions,
The core concepts organize data into three entities: Moment, Context, and Dimension. A Moment includes a timestamp,
The data model supports JSON-like schemas with optional YAML and a compact binary form for performance. It
Applications include statistical analysis of events, trend detection, and archival records. It suits IoT sensor streams,
History and reception: conceived by a loose online collaboration; first public draft circulated in 2023; adoption
See also: Moments (math); Event data model; Time-series databases.