Construction of Chinese Obstetrics Knowledge Graph Based on the Multiple Sources Data

Zhang, Kunli; Hu, Chenxin; Shen, Yu; Zan, Hongying; Zhao, Yueshu; Wen-yan, Chu

doi:10.1007/978-3-031-06547-7_31

Cited by 7 publications

(1 citation statement)

References 6 publications

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“…Emotion. Multisource data can interactively extract multiple types of music emotion data, which can not only improve the data value and use the value of music emotion, turn it into a visual data model, and be used in music emotion representation learning, which can help learners understand and learn music more intuitively and vividly [9]. Multisource data not only analyzes all kinds of information in music emotion but also combines big data technology to deeply mine the key information in music emotion, so as to find the special connections in music emotion.…”

Section: Practical Application Of Multisource Data In Musicmentioning

confidence: 99%

Music Emotion Representation Learning Based on Multisource Data Fusion and Its Application

Zhang

2022

Mobile Information Systems

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Based on the multisource data fusion and fusion of music emotion expression learning and its application, this paper further analyzes the actual influence of music emotion and Internet multisource data in emotion learning. This paper uses multisource data to improve the professionalism and concentration of music emotion and uses modern Internet technology to help users quickly integrate into music emotion learning. At the same time, the multisource data structure can develop the music learning structure to a high-quality level. It is precisely because of the emphasis of the multisource data model architecture that the learning mechanism of musical emotion representation can be continuously updated and improved, which is mutually promoted jointly with Internet technology.

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Section: Practical Application Of Multisource Data In Musicmentioning

confidence: 99%