An enormous wealth of data is being created in our increasingly digitized life and economies, but the majority of this data is either being monopolized or shared for questionable purposes rather than facilitating innovation. One of the main issues that inhibits data reuse and the emergence of vibrant data markets is the lack of standard mechanisms for the execution of controlled transactions between data providers and consumers, including efficient provisioning of data and associated services. Consequently, many potential data providers find it difficult to turn data into viable business models. At the same time, data consumers face challenges accessing heterogeneous data provided via various mechanisms and have limited means to trace data provenance and ensure data quality. Semantic Containers aim to tackle both issues by facilitating controlled transactions through an integrated set of methods and capabilities. Specifically, they package data, semantic descriptions, and processing capabilities into executable and shareable containers. In this paper, we illustrate the concept by means of a pilot project in collaboration with the largest meteorological institute in Austria that illustrates how Semantic Containers can be used to provide Seismic activity data.
|Titel des Sammelwerks||Posters and Demos at SEMANTiCS 2019|
|Untertitel des Sammelwerks||Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems (SEMPDS 2019)|
|Herausgeber*innen||Mehwish Alam, Ricardo Usbeck, Tassilo Pellegrini, Harald Sack, York Sure-Vetter|
|Verlag||CEUR Workshop Proceedings|
|Publikationsstatus||Veröffentlicht - 2019|
|Veranstaltung||15th International Conference on Semantic Systems, SEMPDS 2019 - Karlsruhe, Deutschland|
Dauer: 9 Sept. 2019 → 12 Sept. 2019
|Reihe||CEUR Workshop Proceedings|
|Konferenz||15th International Conference on Semantic Systems, SEMPDS 2019|
|Zeitraum||9/09/19 → 12/09/19|
Bibliographische NotizPublisher Copyright:
Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).