Page 185 - Journal of Library Science in China, Vol.45, 2019
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            184   Journal of Library Science in China, Vol.11, 2019


              Knowledge computing and knowledge reasoning are the core technologies involved in the
            application of knowledge graph, which are widely studied in the application of generalized
            knowledge maps. However, few research has been done on linked data and digital humanities.
            Most of the digital humanities research in China uses linked data technology to publish and display
            metadata, which can be regarded as the basis of knowledge graph application. Nevertheless, it does
            not represent the whole knowledge graph research. In this paper, the CBDBLD platform uses a
            general rule reasoner to support user-defined rule-based reasoning which implements the mining
            and presentation of implicit relationships between characters. Although the current reasoning is
            relatively simple, it provides a new research direction for digital humanities research. The abundant
            graph mining and graph computing algorithms in the research of generalized knowledge atlas can
            be applied to the linked data, which is also the future research and practice direction of this paper’s
            authors.
              It can be said that both semantic knowledge graph and generalized knowledge graph can promote
            the innovation of digital humanities research methods. The combination of the two techniques
            will become the next hotspot in the field of digital humanities, and brings a new era of digital
            humanities research.




            Construction of interdisciplinary multi-granularity knowledge representation
            model in digital library based on knowledge content
                       〇a ∗
            WANG Zhongyi , XIA Lixin & LI Yuhai

            In today’s big science era, the demand for interdisciplinary knowledge service is becoming more
            and more urgent. However, as an important platform for interdisciplinary knowledge service,
            digital library still organizes knowledge according to disciplines by taking document as unit, which
            makes it difficult to break the barrier between disciplines, resulting in the dispersion of knowledge
            about the same thing in different disciplines. In order to support interdisciplinary research, the
            knowledge organization method of digital library needs to go deep into interdisciplinary knowledge
            organization based on knowledge content.
              As the core and foundation of knowledge organization, knowledge representation is the key to
            solve the interdisciplinary knowledge organization of digital library. To this end, this paper first
            analyzes the interdisciplinary characteristics of digital library knowledge resources to reveal their
            commonness and heterogeneity. Secondly, according to the abstraction degree of knowledge,
            the multi-granularity division of library knowledge resources is carried out, and the basic units
            of knowledge representation are identified.Thirdly, the applicability of existing knowledge
            representation methods in interdisciplinary knowledge representation is analyzed. Fourthly, based


            * Correspondence should be addressed to WANG Zhongyi, Email: wzywzy13579@163.com, ORCID: 0000-0001-8945-783X
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