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} }