29 citations · 112 across the 29 of their papers we have counts for
14 papers · 1 filter
Creating a Scholarly Knowledge Graph from Survey Article Tables
Allard Oelen, Markus Stocker, Sören Auer
Due to the lack of structure, scholarly knowledge remains hardly accessible for machines. Scholarly knowledge graphs have been proposed as a solution. Creating such a knowledge gra…
Compact Representations for Efficient Storage of Semantic Sensor Data
Farah Karim, Maria-Esther Vidal, Sören Auer
Nowadays, there is a rapid increase in the number of sensor data generated by a wide variety of sensors and devices. Data semantics facilitate information exchange, adaptability, a…
SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph
Marco Anteghini, Jennifer D'Souza, Vitor A. P. Martins dos Santos +1
As a novel contribution to the problem of semantifying biological assays, in this paper, we propose a neural-network-based approach to automatically semantify, thereby structure, u…
Representing Semantified Biological Assays in the Open Research Knowledge Graph
Marco Anteghini, Jennifer D'Souza, Vitor A. P. Martins dos Santos +1
In the biotechnology and biomedical domains, recent text mining efforts advocate for machine-interpretable, and preferably, semantified, documentation formats of laboratory process…
Operational Research Literature as a Use Case for the Open Research Knowledge Graph
Mila Runnwerth, Markus Stocker, Sören Auer
The Open Research Knowledge Graph (ORKG) provides machine-actionable access to scholarly literature that habitually is written in prose. Following the FAIR principles, the ORKG mak…
Generate FAIR Literature Surveys with Scholarly Knowledge Graphs
A. Oelen, M. Y. Jaradeh, M. Stocker +1
Reviewing scientific literature is a cumbersome, time consuming but crucial activity in research. Leveraging a scholarly knowledge graph, we present a methodology and a system for…