[Purpose/significance] Big data services bring more challenges to knowledge organization. Through observing, understanding and analyzing these challenges, knowledge organization work stakeholders would grasp possible changes and provide countermeasures.[Method/process] Focusing on the construction and application of knowledge organization system, challenges of different aspects of knowledge organization were analyzed and countermeasures were proposed from related real case practice.[Result/conclusion] The challenges of knowledge organization in big data services can be divided into four aspects:data explosion, document assurance, integration and application. A series of knowledge organization frameworks for big data services including new knowledge structure, multi-source updating strategy and elastic application service model are proposed, which can better meet the above challenges.
Zhang Yunliang
. The Challenges and Countermeasures of Knowledge Organization in Big Data Service[J]. Library and Information Service, 2020
, 64(4)
: 88
-94
.
DOI: 10.13266/j.issn.0252-3116.2020.04.010
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