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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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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. |
format | Online Article Text |
id | pubmed-9288315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lianjiangong innovationandintegrationdevelopmentoftheculturalindustrybasedonmappingknowledgedomains AT liangdan innovationandintegrationdevelopmentoftheculturalindustrybasedonmappingknowledgedomains |