Abstract
The best practices for publishing linked data have been adopted by an increasing number of libraries, leading to the creation of a global data space-the web of digital library data. However, in library linked data publishing, most of the existing researches mainly focus on structured and semi-structured digital library resources (for example catalogue data). Researches on publishing unstructured digital library resources (for example: contents of papers) are seldom. In order to overcome this problem, this paper proposes a fine-grained linked data creation method to publish the papers stored in digital libraries into linked data. At last, in order to evaluate this method, this paper conducted an experiment on the papers on “text segmentation”. From the experiment results we find that our fine-grained linked data creation method is feasible and will promote the opening access to digital libraries resources.
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Acknowledgment
This study is supported by MOE (Ministry of Education in China) Project of Humanities and Social Science: “Research on the Multi-granularity Hierarchical Topic-based Segmentation of the Digital Library Resources” (Project No. 16YJC870003).
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Huang, J., Wang, Z., Li, C. (2018). Research on Fine-Grained Linked Data Creation for Digital Library Resources. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_23
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DOI: https://doi.org/10.1007/978-3-319-78105-1_23
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