Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Digital Libraries for Open Knowledge |
| Untertitel | 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Proceedings |
| Herausgeber/-innen | Mark Hall, Tanja Mercun, Thomas Risse, Fabien Duchateau |
| Seiten | 119-132 |
| Seitenumfang | 14 |
| ISBN (elektronisch) | 978-3-030-54956-5 |
| Publikationsstatus | Veröffentlicht - 2020 |
| Extern publiziert | Ja |
| Veranstaltung | 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020 - Lyon, Frankreich Dauer: 25 Aug. 2020 → 28 Aug. 2020 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 12246 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
The network of scholarly publishing involves generating and exchanging ideas, certifying research, publishing in order to disseminate findings, and preserving outputs. Despite enormous efforts in providing support for each of those steps in scholarly communication, identifying knowledge fragments is still a big challenge. This is due to the heterogeneous nature of the scholarly data and the current paradigm of distribution by publishing (mostly document-based) over journal articles, numerous repositories, and libraries. Therefore, transforming this paradigm to knowledge-based representation is expected to reform the knowledge sharing in the scholarly world. Although many movements have been initiated in recent years, non-technical scientific communities suffer from transforming document-based publishing to knowledge-based publishing. In this paper, we present a model (PharmSci) for scholarly publishing in the pharmaceutical research domain with the goal of facilitating knowledge discovery through effective ontology-based data integration. PharmSci provides machine-interpretable information to the knowledge discovery process. The principles and guidelines of the ontological engineering have been followed. Reasoning-based techniques are also presented in the design of the ontology to improve the quality of targeted tasks for data integration. The developed ontology is evaluated with a validation process and also a quality verification method.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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- BibTex
- RIS
Digital Libraries for Open Knowledge : 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Proceedings. Hrsg. / Mark Hall; Tanja Mercun; Thomas Risse; Fabien Duchateau. 2020. S. 119-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12246 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Ontology Design for Pharmaceutical Research Outcomes
AU - Say, Zeynep
AU - Fathalla, Said
AU - Vahdati, Sahar
AU - Lehmann, Jens
AU - Auer, Sören
N1 - Funding Information: This work has been supported by ERC project ScienceGRAPH no. 819536, and the EPSRC grant EP/M025268/1, the WWTF grant VRG18-013, the EC Horizon 2020 grant LAMBDA (GA no. 809965), the CLEOPATRA project (GA no. 812997), and the German national funded BmBF project MLwin.
PY - 2020
Y1 - 2020
N2 - The network of scholarly publishing involves generating and exchanging ideas, certifying research, publishing in order to disseminate findings, and preserving outputs. Despite enormous efforts in providing support for each of those steps in scholarly communication, identifying knowledge fragments is still a big challenge. This is due to the heterogeneous nature of the scholarly data and the current paradigm of distribution by publishing (mostly document-based) over journal articles, numerous repositories, and libraries. Therefore, transforming this paradigm to knowledge-based representation is expected to reform the knowledge sharing in the scholarly world. Although many movements have been initiated in recent years, non-technical scientific communities suffer from transforming document-based publishing to knowledge-based publishing. In this paper, we present a model (PharmSci) for scholarly publishing in the pharmaceutical research domain with the goal of facilitating knowledge discovery through effective ontology-based data integration. PharmSci provides machine-interpretable information to the knowledge discovery process. The principles and guidelines of the ontological engineering have been followed. Reasoning-based techniques are also presented in the design of the ontology to improve the quality of targeted tasks for data integration. The developed ontology is evaluated with a validation process and also a quality verification method.
AB - The network of scholarly publishing involves generating and exchanging ideas, certifying research, publishing in order to disseminate findings, and preserving outputs. Despite enormous efforts in providing support for each of those steps in scholarly communication, identifying knowledge fragments is still a big challenge. This is due to the heterogeneous nature of the scholarly data and the current paradigm of distribution by publishing (mostly document-based) over journal articles, numerous repositories, and libraries. Therefore, transforming this paradigm to knowledge-based representation is expected to reform the knowledge sharing in the scholarly world. Although many movements have been initiated in recent years, non-technical scientific communities suffer from transforming document-based publishing to knowledge-based publishing. In this paper, we present a model (PharmSci) for scholarly publishing in the pharmaceutical research domain with the goal of facilitating knowledge discovery through effective ontology-based data integration. PharmSci provides machine-interpretable information to the knowledge discovery process. The principles and guidelines of the ontological engineering have been followed. Reasoning-based techniques are also presented in the design of the ontology to improve the quality of targeted tasks for data integration. The developed ontology is evaluated with a validation process and also a quality verification method.
KW - Linked data
KW - OWL Ontologies
KW - Pharmaceutical research
KW - Scholarly communication
KW - Semantic web
UR - http://www.scopus.com/inward/record.url?scp=85090094811&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-54956-5_9
DO - 10.1007/978-3-030-54956-5_9
M3 - Conference contribution
AN - SCOPUS:85090094811
SN - 9783030549558
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 119
EP - 132
BT - Digital Libraries for Open Knowledge
A2 - Hall, Mark
A2 - Mercun, Tanja
A2 - Risse, Thomas
A2 - Duchateau, Fabien
T2 - 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020
Y2 - 25 August 2020 through 28 August 2020
ER -