Describe Library Resources with Knowledge Graph

dc.audienceAudience::Knowledge Management Section
dc.audienceAudience::Digital Humanities – Digital Scholarship Special Interest Group
dc.conference.date22 August 2019
dc.conference.placeCorfu, Greece
dc.conference.sessionTypeKnowledge Management with Digital Humanities/Digital Scholarship
dc.conference.titleArtificial Intelligence (AI) and its impact on libraries and librarianship
dc.conference.venueIonian University
dc.contributor.authorZhang, Lu
dc.date.accessioned2025-09-24T09:13:45Z
dc.date.available2025-09-24T09:13:45Z
dc.date.issued2017
dc.description.abstractLibraries have large amount of credible knowledge. But unfortunately, advanced Internet search tools and knowledge graphs cannot fully cover the valuable library collections. Using knowledge graph to describe collections can optimize knowledge services in several aspects. Specifically, the application of knowledge graph can help library enhance retrieval efficiency, integrate various resources and improve reference services. In order achieve these improvements, National Science Library of Chinese Academy of Sciences tries to build a knowledge graph connecting all the collections and open resources. The work of academic knowledge graph has been completed. However, in order to reveal the semantic connection of resources, a concept knowledge graph still needs to be working on, which is the focus of this research. This study proposes a process of constructing concept knowledge graph and discusses possible applications of knowledge graph in library.en
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dc.identifier.relatedurlhttps://2019.ifla.org/conference-programme/satellite-meetings/
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/6716
dc.language.isoen
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordAcademic knowledge graph
dc.subject.keywordConcept knowledge graph
dc.subject.keywordLibrary collections
dc.titleDescribe Library Resources with Knowledge Graphen
dc.typeArticle
ifla.UnitSection:Knowledge Management Section
ifla.UnitSection::Digital Humanities – Digital Scholarship Special Interest Group
ifla.oPubIdhttps://library.ifla.org/id/eprint/2753/

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