Details
| Original language | English |
|---|---|
| Title of host publication | Semantic Systems |
| Subtitle of host publication | The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019 Proceedings |
| Editors | Maribel Acosta, York Sure-Vetter, Philippe Cudré-Mauroux, Maria Maleshkova, Tassilo Pellegrini, Harald Sack |
| Pages | 359-366 |
| Number of pages | 8 |
| Edition | 1. |
| ISBN (electronic) | 978-3-030-33220-4 |
| Publication status | Published - 4 Nov 2019 |
| Event | 15th International Conference on Semantic Systems, SEMANTiCS 2019 - Karlsruhe, Germany Duration: 9 Sept 2019 → 12 Sept 2019 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11702 |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic data models that lay the foundation for the framework development and discuss the data analytics workflows based on these models. Furthermore, we present an example instantiation of the Simple-ML data models for a real-world use case in the mobility domain.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Semantic Systems: The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019 Proceedings. ed. / Maribel Acosta; York Sure-Vetter; Philippe Cudré-Mauroux; Maria Maleshkova; Tassilo Pellegrini; Harald Sack. 1. ed. 2019. p. 359-366 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11702).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Simple-ML
T2 - 15th International Conference on Semantic Systems, SEMANTiCS 2019
AU - Gottschalk, Simon
AU - Tempelmeier, Nicolas
AU - Kniesel, Günter
AU - Iosifidis, Vasileios
AU - Fetahu, Besnik
AU - Demidova, Elena
N1 - Funding information: This work was partially funded by the Federal Ministry of Education and Research (BMBF), Germany under Simple-ML (01IS18054) and Data4UrbanMobility (02K15A040).
PY - 2019/11/4
Y1 - 2019/11/4
N2 - In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic data models that lay the foundation for the framework development and discuss the data analytics workflows based on these models. Furthermore, we present an example instantiation of the Simple-ML data models for a real-world use case in the mobility domain.
AB - In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic data models that lay the foundation for the framework development and discuss the data analytics workflows based on these models. Furthermore, we present an example instantiation of the Simple-ML data models for a real-world use case in the mobility domain.
UR - http://www.scopus.com/inward/record.url?scp=85076219312&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-33220-4_26
DO - 10.1007/978-3-030-33220-4_26
M3 - Conference contribution
AN - SCOPUS:85076219312
SN - 978-3-030-33219-8
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 359
EP - 366
BT - Semantic Systems
A2 - Acosta, Maribel
A2 - Sure-Vetter, York
A2 - Cudré-Mauroux, Philippe
A2 - Maleshkova, Maria
A2 - Pellegrini, Tassilo
A2 - Sack, Harald
Y2 - 9 September 2019 through 12 September 2019
ER -