DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs.
Carsten Felix Draschner|Claus Stadler|Farshad Bakhshandegan Moghaddam|Jens Lehmann|Hajira Jabeen
| Anthology ID: | DBLP:conf/cikm/DraschnerSM0J21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4465-4474 |
| URL: | https://doi.org/10.1145/3459637.3481999 |
| DOI: | https://doi.org/10.1145/3459637.3481999 |
| DBLP: | conf/cikm/DraschnerSM0J21 |
| BibTeX: |
@inproceedings{draschner-2021-distrdf2ml,
author = {Carsten Felix Draschner and
Claus Stadler and
Farshad Bakhshandegan Moghaddam and
Jens Lehmann and
Hajira Jabeen},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {4465--4474},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3481999},
doi = {https://doi.org/10.1145/3459637.3481999}
}