Tom Windels, Wout Slabbinck, Pieter Bonte, Stijn Verstichel, Pieter Colpaert, Sofie Van Hoecke, Femke Ongenae: "LDESTS : enabling efficient storage and querying of large volumes of time series data on solid pods", Posters, Demos, and Industry Tracks at ISWC 2023 : proceedings of the ISWC 2023 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice (ISWC-Posters-Demos-Industry 2023) (2023).

Biblio entry: 01HFRR194TM7B2N4D5RNJ8R8MJ.

Abstract

The Solid ecosystem provides a good foundation for the decentralised Web. However, the current document-based implementations of the Solid specification lack support to efficiently interact with high volumes of time series data. Therefore, in this demo, we present a technique, called LDESTS, to more efficiently store and query time series data across Solid pods. LDESTS provides a data model for individual streams, and enables enforcing constraints on top of individual stream fragments, to achieve efficient data fragmentation and querying.