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Timely – A Domain Specific Language Extension of HTML to Visualize and Query Time Series Data using W3C Web Components

Schmidt, Andreas ORCID iD icon 1; Hochmuth, Marius; Koubaa, Mohamed Anis ORCID iD icon 1; Martens, Fabia ORCID iD icon 1; Liu, Nan ORCID iD icon 1; Schmurr, Philipp ORCID iD icon 1; Stucky, Karl-Uwe ORCID iD icon 1; Süß, Wolfgang ORCID iD icon 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

We have developed Timely, a domain specific extension of HTML, that enables the visualization, analysis and subsequent export of metadata-enriched time series data within arbitrary websites. The implementation is based on the W3C standard Web components, so that the extension can be used in all current browsers without installing additional plugins. Web components are user-defined HTML elements that are implemented as JavaScript classes and executed in the user’s browser. They can then be used like normal HTML elements such as table, h1, etc. The components can not only have a visual representation but also communicate with backend server processes. A major advantage of this approach is that the web components developed in this way offer website developers a simple yet powerful declarative interface for implementing their functionality, enabling even non-programmers to create and customize simple web applications according to their needs. The developed components allow flexible querying and presentation of time series data in graphical or tabular form. Furthermore, metadata from InfluxDB, such as all available databases, associated measurements (a data structure typically called table in other database systems) and their structures, can be read out and visualized. ... mehr


Volltext §
DOI: 10.5445/IR/1000192942
Veröffentlicht am 05.05.2026
Originalveröffentlichung
DOI: 10.5281/zenodo.19922706
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Poster
Publikationsdatum 28.04.2026
Sprache Englisch
Identifikator KITopen-ID: 1000192942
HGF-Programm 46.21.05 (POF IV, LK 01) HMC
Veranstaltung The Helmholtz Metadata Collaboration Conference (HCM 2026), Heidelberg, Deutschland, 28.04.2026 – 01.05.2026
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