Advances in Data Model Construction and Application in the Field of Scientific Communication

Abstract

Abstract:

In the era of big data the datafication and semantization of scientific research processes andpublications have gradually become the mainstream practices in scientific communication leading to theemergence of linked scientific data such as scientific communication data models and scientific knowledgegraphs. The sorting analysis and evaluation of these data models can provide guidance and reference forintelligent academic services. By collecting typical scientific communication data models this paperanalyzes them from three dimensions construction experience and principles generic structure and reusecharacteristics and application scenarios. The data models are mainly static models related topublications and the construction of scientific communication activity models from a dynamic perspectiveis increasing. While mainstream models have similar construction experiences and reuse behaviors theydiffer significantly in the number of classes and model correlations. Furthermore it is necessary toenhance the standardization and relevance of the construction enhance the application of intelligenttechnology in the model construction process optimize the experience of scientific knowledge graphapplication scenarios and improve the openness of non-English data models.

Ye Junling1 2 Xu Lei1 2 Liu Yu1 2 （1 School of Information Management WuhanUniversity 2 Intellectual Computing Laboratory for Cultural Heritage Wuhan University）. Advances in Data Model Construction and Application in the Field of Scientific Communication[J]. Libraly Journal, 2025, 44(414): 63-74.

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