MMKG: Multi-modal Knowledge Graphs

We present Mmkg, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KGs. Therefore, multi-relational link prediction and entity matching communities can benefit from this resource. We believe this data set has the potential to facilitate the development of novel multi-modal learning approaches for knowledge graphs. We validate the utility of Mmkg in the sameAs link prediction task with an extensive set of experiments. These experiments show that the task at hand benefits from learning of multiple feature types.


Publié dans:
Semantic Web, Eswc 2019, 11503, 459-474
Présenté à:
16th International Extended Semantic Web Conference (ESWC), Portoroz, SLOVENIA, Jun 02-06, 2019
Année
Jan 01 2019
Publisher:
Cham, SPRINGER INTERNATIONAL PUBLISHING AG
ISSN:
0302-9743
1611-3349
ISBN:
978-3-030-21348-0
978-3-030-21347-3
Laboratoires:




 Notice créée le 2020-01-01, modifiée le 2020-02-13


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