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dc.rights.licenseEs gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.eng
dc.contributor.authorSay, Zeynep-
dc.contributor.authorFathalla, Said-
dc.contributor.authorVahdati, Sahar-
dc.contributor.authorLehmann, Jens-
dc.contributor.authorAuer, Sören-
dc.contributor.editorHall, Mark-
dc.contributor.editorMerčun, Tanja-
dc.contributor.editorRisse, Thomas-
dc.contributor.editorDuchateau, Fabien-
dc.description.abstractThe 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.eng
dc.publisherCham : Springereng
dc.relation.ispartofDigital Libraries for Open Knowledgeeng
dc.relation.ispartofseriesLecture Notes in Computer Science ; 12246eng
dc.subjectSemantic webeng
dc.subjectLinked dataeng
dc.subjectOWL Ontologieseng
dc.subjectScholarly communicationeng
dc.subjectPharmaceutical researcheng
dc.titleOntology Design for Pharmaceutical Research Outcomeseng
wgl.typeBuchkapitel / Sammelwerksbeitrageng
dcterms.bibliographicCitation.journalTitleLecture Notes in Computer Scienceeng
tib.relation.conferenceInternational Conference on Theory and Practice of Digital Libraries, 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France, August 25–27, 2020eng
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Say, Zeynep, Said Fathalla, Sahar Vahdati, Jens Lehmann and Sören Auer, 2020. Ontology Design for Pharmaceutical Research Outcomes. In: (Hrsg.)Mark Hall, Tanja Merčun, Thomas Risse and Fabien Duchateau. Cham : Springer. ISBN 978-3-030-54955-8
Say, Z., Fathalla, S., Vahdati, S., Lehmann, J. and Auer, S. (2020) “Ontology Design for Pharmaceutical Research Outcomes.” Cham : Springer. doi:
Say Z, Fathalla S, Vahdati S, Lehmann J, Auer S. Ontology Design for Pharmaceutical Research Outcomes. In: , editorHall M, Merčun T, Risse T, Duchateau F. Cham : Springer; 2020.
Say, Z., Fathalla, S., Vahdati, S., Lehmann, J., & Auer, S. (2020). Ontology Design for Pharmaceutical Research Outcomes. Cham : Springer.
Say Z, Fathalla S, Vahdati S, Lehmann J, Auer S. Ontology Design for Pharmaceutical Research Outcomes. In: , ed.Hall M, Merčun T, Risse T, Duchateau F Cham : Springer; 2020. doi:

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