[Purpose/significance] The image resources of digital humanities research contain a lot of information but the utilization rate is extremely low, so it cannot be effectively shared and reused in heterogeneous databases and different applications. The International Image Semantic Interoperability Framework (IIIF) breaks the barriers to image resource exchange and sharing. [Method/process] This study combined IIIF and semantic knowledge graph (linked data technology) to integrate, share and discover knowledge of image resources, reveal the relationship between resources and knowledge reasoning, and it realized semantic retrieval based on image features to assist knowledge discovery by the feature extraction and recognition of image features through CNNs algorithm. [Result/conclusion] Finally, a set of digital human image resource integration and knowledge discovery solutions was proposed, and the "Seal Knowledge Center" was constructed with the seal image resources as the application object to empirically test the feasibility and practicality of the above solutions.
Zhang Yongjuan
,
Liu Wei
,
Yu Jianrong
,
Chen Tao
. Seal Image Resource Integration and Knowledge Discovery Based on IIIF and Semantic Knowledge Graph[J]. Library and Information Service, 2020
, 64(7)
: 127
-135
.
DOI: 10.13266/j.issn.0252-3116.2020.07.015
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