Please use this identifier to cite or link to this item: https://oa.tib.eu/renate/jspui/handle/123456789/6181
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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.en
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.date.accessioned2021-06-04T09:23:15Z-
dc.date.available2021-06-04T09:23:15Z-
dc.date.issued2020-
dc.identifier.urihttps://oar.tib.eu/jspui/handle/123456789/6181-
dc.identifier.urihttp://dx.doi.org/10.34657/5228-
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.language.isoengen
dc.publisherCham : Springeren
dc.relation.ispartofDigital Libraries for Open Knowledgeen
dc.relation.ispartofseriesLecture Notes in Computer Science ; 12246en
dc.subjectSemantic webeng
dc.subjectLinked dataeng
dc.subjectOWL Ontologieseng
dc.subjectScholarly communicationeng
dc.subjectPharmaceutical researcheng
dc.subject.ddc020en
dc.titleOntology Design for Pharmaceutical Research Outcomesen
dc.typebookParten
dc.typeconferenceObjecten
dc.typeText-
dc.description.versionsubmittedVersionen
local.accessRightsopenAccessen
local.agreementPA-1-
local.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, 2020en
wgl.contributorTIBen
wgl.subjectInformatiken
wgl.typeBuchkapitel / Sammelwerksbeitragen
wgl.typeKonferenzbeitragen
dc.bibliographicCitation.firstPage119en
dc.bibliographicCitation.lastPage132en
dc.relation.doihttps://doi.org/10.1007/978-3-030-54956-5_9-
dc.relation.essn1611-3349-
dc.relation.issn0302-9743-
dc.relation.isbn978-3-030-54955-8-
dc.relation.isbn978-3-030-54956-5-
dcterms.bibliographicCitation.journalTitleLecture Notes in Computer Scienceen
local.permissionVerlagspolicy-
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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: https://doi.org/10.1007/978-3-030-54956-5_9.
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. https://doi.org/https://doi.org/10.1007/978-3-030-54956-5_9
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:https://doi.org/10.1007/978-3-030-54956-5_9


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