Details
| Original language | English |
|---|---|
| Title of host publication | Digital Libraries at Times of Massive Societal Transition |
| Subtitle of host publication | 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings |
| Editors | Emi Ishita, Natalie Lee Pang, Lihong Zhou |
| Pages | 89-98 |
| Number of pages | 10 |
| ISBN (electronic) | 978-3-030-64452-9 |
| Publication status | Published - Nov 2020 |
| Externally published | Yes |
| Event | 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020 - Kyoto, Japan Duration: 30 Nov 2020 → 1 Dec 2020 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 12504 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
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.
Keywords
- Bioassays, Open Research Knowledge Graph, Open science graphs
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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- BibTeX
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Digital Libraries at Times of Massive Societal Transition : 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings. ed. / Emi Ishita; Natalie Lee Pang; Lihong Zhou. 2020. p. 89-98 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12504 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
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
N1 - Funding Information: Supported by TIB Leibniz Information Centre for Science and Technology, the EU H2020 ERC project ScienceGRaph (GA ID: 819536) and the ITN PERICO (GA ID: 812968).
PY - 2020/11
Y1 - 2020/11
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
UR - http://www.scopus.com/inward/record.url?scp=85097546987&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-64452-9_8
DO - 10.1007/978-3-030-64452-9_8
M3 - Conference contribution
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
A2 - Ishita, Emi
A2 - Pang, Natalie Lee
A2 - Zhou, Lihong
T2 - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020
Y2 - 30 November 2020 through 1 December 2020
ER -