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Innovation and Integration Development of the Cultural Industry Based on Mapping Knowledge Domains

In view of the less current user data of the cultural industry, its classification and presentation form are complex. This paper constructs the MKD of the cultural industry integration through the RDF graph model and realizes the distributed vector representation of cultural project semantic informa...

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Detalles Bibliográficos
Autores principales: Lian, Jiangong, Liang, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288315/
https://www.ncbi.nlm.nih.gov/pubmed/35855790
http://dx.doi.org/10.1155/2022/4725196
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author Lian, Jiangong
Liang, Dan
author_facet Lian, Jiangong
Liang, Dan
author_sort Lian, Jiangong
collection PubMed
description In view of the less current user data of the cultural industry, its classification and presentation form are complex. This paper constructs the MKD of the cultural industry integration through the RDF graph model and realizes the distributed vector representation of cultural project semantic information by using the fine-tuning translation distance model TransH. The semantic information of cultural industry fusion is mapped to a continuous vector space, and the distributed vector representation of cultural projects is realized. The results show that it is helpful to accurately express the correlation between different regions and cultural types and to explore the data association and implicit relationship of innovation and integration development in the cultural industry.
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spelling pubmed-92883152022-07-17 Innovation and Integration Development of the Cultural Industry Based on Mapping Knowledge Domains Lian, Jiangong Liang, Dan Comput Intell Neurosci Research Article In view of the less current user data of the cultural industry, its classification and presentation form are complex. This paper constructs the MKD of the cultural industry integration through the RDF graph model and realizes the distributed vector representation of cultural project semantic information by using the fine-tuning translation distance model TransH. The semantic information of cultural industry fusion is mapped to a continuous vector space, and the distributed vector representation of cultural projects is realized. The results show that it is helpful to accurately express the correlation between different regions and cultural types and to explore the data association and implicit relationship of innovation and integration development in the cultural industry. Hindawi 2022-07-09 /pmc/articles/PMC9288315/ /pubmed/35855790 http://dx.doi.org/10.1155/2022/4725196 Text en Copyright © 2022 Jiangong Lian and Dan Liang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lian, Jiangong
Liang, Dan
Innovation and Integration Development of the Cultural Industry Based on Mapping Knowledge Domains
title Innovation and Integration Development of the Cultural Industry Based on Mapping Knowledge Domains
title_full Innovation and Integration Development of the Cultural Industry Based on Mapping Knowledge Domains
title_fullStr Innovation and Integration Development of the Cultural Industry Based on Mapping Knowledge Domains
title_full_unstemmed Innovation and Integration Development of the Cultural Industry Based on Mapping Knowledge Domains
title_short Innovation and Integration Development of the Cultural Industry Based on Mapping Knowledge Domains
title_sort innovation and integration development of the cultural industry based on mapping knowledge domains
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288315/
https://www.ncbi.nlm.nih.gov/pubmed/35855790
http://dx.doi.org/10.1155/2022/4725196
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