TY - GEN
T1 - Representing Semantified Biological Assays in the Open Research Knowledge Graph
AU - Anteghini, Marco
AU - D’Souza, Jennifer
AU - Martins dos Santos, Vitor A.P.
AU - Auer, Sören
PY - 2020/11/28
Y1 - 2020/11/28
N2 - In the biotechnology and biomedical domains, recent text mining efforts advocate for machine-interpretable, and preferably, semantified, documentation formats of laboratory processes. This includes wet-lab protocols, (in)organic materials synthesis reactions, genetic manipulations and procedures for faster computer-mediated analysis and predictions. Herein, we present our work on the representation of semantified bioassays in the Open Research Knowledge Graph (ORKG). In particular, we describe a semantification system work-in-progress to generate, automatically and quickly, the critical semantified bioassay data mass needed to foster a consistent user audience to adopt the ORKG for recording their bioassays and facilitate the organisation of research, according to FAIR principles.
AB - In the biotechnology and biomedical domains, recent text mining efforts advocate for machine-interpretable, and preferably, semantified, documentation formats of laboratory processes. This includes wet-lab protocols, (in)organic materials synthesis reactions, genetic manipulations and procedures for faster computer-mediated analysis and predictions. Herein, we present our work on the representation of semantified bioassays in the Open Research Knowledge Graph (ORKG). In particular, we describe a semantification system work-in-progress to generate, automatically and quickly, the critical semantified bioassay data mass needed to foster a consistent user audience to adopt the ORKG for recording their bioassays and facilitate the organisation of research, according to FAIR principles.
KW - Bioassays
KW - Open Research Knowledge Graph
KW - Open science graphs
U2 - 10.1007/978-3-030-64452-9_8
DO - 10.1007/978-3-030-64452-9_8
M3 - Conference paper
AN - SCOPUS:85097546987
SN - 9783030644512
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 89
EP - 98
BT - Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings
A2 - Ishita, Emi
A2 - Pang, Natalie Lee
A2 - Zhou, Lihong
PB - Springer
T2 - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020
Y2 - 30 November 2020 through 1 December 2020
ER -