Page 184 - Journal of Library Science in China, Vol.45, 2019

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Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China, Vol.45, 2019 183

provide a certain ideological reference for the builders of the urban public reading space.

Application of knowledge graph in digital humanities
〇a ∗
CHEN Tao, LIU Wei , SHAN Rongrong & ZHU Qinghua

Knowledge graph is a technique that uses computers to shore, manage, and present concepts
and their relationships. This technique became a research hotspot in industry and academia as
soon as it was proposed. However, the concept of knowledge graph was quite chaotic in this
field. People often confuse Knowledge Map (KM), Knowledge Graph (KG) and Graph Database
(GD). Knowledge map should be regarded more as a metrological method, so there is no detailed
discussion in this paper. According to different storage methods, the knowledge graph can be
divided into semantic knowledge graph (also called linked data, based on RDF storage), and
generalized knowledge graph (due to graph databases). Linked data focuses on the release and
linking of knowledge, while the generalized knowledge graph focuses more on the mining and
calculation of knowledge. There are both commonalities and differences between the linked
data and knowledge graph. This paper analyzes the similarities and differences between the two
techniques from the conceptual and technical aspects, and points out that the linked data is the
continuation and development of Google’s knowledge graph.
In addition, this paper also proposes a system framework for applying knowledge graph to digital
humanities research. Simultaneously, we also point out that digital generation, textual conversion,
data extraction and intelligent construction are the main stages of research and development in
the humanities field. Compared with most humanities research abroad in the textual stage, much
humanities research in China are still in the digital stage, which is far from the research stage of
smart data.
Based on the theoretical basis of the study of smart data of digital humanities, this paper builds
a linked data platform (CBDBLD) of Chinese Biographical Database (CBDB). The seven-step
method adopted in the platform construction is representative and has been used in many digital
humanities research projects, which can guide the semantic construction of domestic digital
humanities research. This platform contains more than 420,000 biographical data, about 22.7
million triples, and is associated with open related datasets such as Shanghai Library Authority
Name Files and VIAF (Virtual International Authority File). CBDBLD dataset contains ten
categories of nearly 500 kinds of social relations. Further, this platform uses the concept of
knowledge graph and visualization technology to show the rich relatives and social relations
between characters. This platform forms a unique social network, and improves the dynamic
interaction ability of user’s experience and platform.

* Correspondence should be addressed to LIU Wei, Email: wliu@libnet.sh.cn, ORCID: 0000-0003-2663-7539