Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | The Web Conference 2021 |
| Untertitel | Companion of the World Wide Web Conference, WWW 2021 |
| Seiten | 7-15 |
| Seitenumfang | 9 |
| ISBN (elektronisch) | 9781450383134 |
| Publikationsstatus | Veröffentlicht - 19 Apr. 2021 |
| Veranstaltung | World Wide Web Conference (WWW 2021) - Ljubljana, Slowenien Dauer: 19 Apr. 2021 → 23 Apr. 2021 Konferenznummer: 30 |
Abstract
Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous energy systems. Despite the great potential that big data-driven technologies can bring to the energy sector, general adoption is still lagging. Several challenges related to controlled data exchange and data integration are still not wholly achieved. As a result, fragmented applications are developed against energy data silos, and data exchange is limited to few applications. In this paper, we analyze the challenges and requirements related to energy-related data applications. We also evaluate the use of Energy Data Ecosystems (EDEs) as data-driven infrastructures to overcome the current limitations of fragmented energy applications. EDEs are inspired by the International Data Space (IDS) initiative launched in Germany at the end of 2014 with an overall objective to take both the development and use of the IDS reference architecture model to a European/global level. The reference architecture model consists of four architectures related to business, security, data and service, and software aspects. This paper illustrates the applicability of EDEs and IDS reference architecture in real-world scenarios from the energy sector. The analyzed scenario is positioned in the context of the EU-funded H2020 project PLATOON.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Software
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
The Web Conference 2021: Companion of the World Wide Web Conference, WWW 2021. 2021. S. 7-15.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Managing Knowledge in Energy Data Spaces
AU - Janev, Valentina
AU - Vidal, Maria Esther
AU - Endris, Kemele
AU - Pujic, Dea
N1 - Conference code: 30
PY - 2021/4/19
Y1 - 2021/4/19
N2 - Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous energy systems. Despite the great potential that big data-driven technologies can bring to the energy sector, general adoption is still lagging. Several challenges related to controlled data exchange and data integration are still not wholly achieved. As a result, fragmented applications are developed against energy data silos, and data exchange is limited to few applications. In this paper, we analyze the challenges and requirements related to energy-related data applications. We also evaluate the use of Energy Data Ecosystems (EDEs) as data-driven infrastructures to overcome the current limitations of fragmented energy applications. EDEs are inspired by the International Data Space (IDS) initiative launched in Germany at the end of 2014 with an overall objective to take both the development and use of the IDS reference architecture model to a European/global level. The reference architecture model consists of four architectures related to business, security, data and service, and software aspects. This paper illustrates the applicability of EDEs and IDS reference architecture in real-world scenarios from the energy sector. The analyzed scenario is positioned in the context of the EU-funded H2020 project PLATOON.
AB - Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous energy systems. Despite the great potential that big data-driven technologies can bring to the energy sector, general adoption is still lagging. Several challenges related to controlled data exchange and data integration are still not wholly achieved. As a result, fragmented applications are developed against energy data silos, and data exchange is limited to few applications. In this paper, we analyze the challenges and requirements related to energy-related data applications. We also evaluate the use of Energy Data Ecosystems (EDEs) as data-driven infrastructures to overcome the current limitations of fragmented energy applications. EDEs are inspired by the International Data Space (IDS) initiative launched in Germany at the end of 2014 with an overall objective to take both the development and use of the IDS reference architecture model to a European/global level. The reference architecture model consists of four architectures related to business, security, data and service, and software aspects. This paper illustrates the applicability of EDEs and IDS reference architecture in real-world scenarios from the energy sector. The analyzed scenario is positioned in the context of the EU-funded H2020 project PLATOON.
KW - Data Exchange
KW - Data Integration Systems
KW - Energy Big Data
KW - Knowledge Graphs
KW - Semantic Interoperability
UR - http://www.scopus.com/inward/record.url?scp=85107617592&partnerID=8YFLogxK
U2 - 10.1145/3442442.3453541
DO - 10.1145/3442442.3453541
M3 - Conference contribution
AN - SCOPUS:85107617592
SP - 7
EP - 15
BT - The Web Conference 2021
T2 - World Wide Web Conference (WWW 2021)
Y2 - 19 April 2021 through 23 April 2021
ER -