[Purpose/Significance] The digital music platform is the main channel for users to find and aquire music works, this study aims to solve the problems such as inaccurate retrieval results and chaotic classification navigation from the perspective of metadata. [Method/Process] Firstly, with the methods of network investigation, interview and questionnaire, the existing problems of works organization were analyzed, based on the investigation on works organization of Chinese mainstream digital music platforms and the survey on works utilization needs of users. Secondly, by using comparative analysis method, the platforms’ metadata schemes and China’s metadata standard were compared, and the existing problems were analyzed from the perspective of metadata. Finally, the suggestions on optimizing the data scheme were put forward from three aspects of the platform metadata setting, the metadata elements application in functions and the users’ utilization requirements. [Result/Conclusion] The optimization strategies for digital music platforms metadata scheme include expanding metadata elements based on national metadata standard according to the practical needs, improving the description rules of elements to strengthen the functional applications, and selecting metadata schemes based on user orientation and needs.
Wei Rui Lü Mingqiu Liu Haize Tang Yanwen
. Study on Optimization Strategy of Metadata Scheme for Chinese Digital Music Platform[J]. Library and Information Service, 2023
, 67(13)
: 133
-141
.
DOI: 10.13266/j.issn.0252-3116.2023.13.014
[1] 中央音乐学院, 中国标准化研究院. 数字音乐元数据(GB/T 31777-2015) [EB/OL]. [2022-10-19]. https://openstd.samr.gov.cn/bzgk/gb/newGbInfo?hcno=B3D0F29AE01D11BAB67EA60D1BDFDAEC.
[2] 央广网. 《 2021华语数字音乐年度白皮书》新鲜出炉大数据全景解析产业变化[EB/OL]. [2023-02-16]. https://baijiahao.baidu.com/s?id=1732418336351825584&wfr=spider&for=pc.
[3] 叶继元. 信息组织[M]. 2版. 北京: 电子工业出版社, 2015: 178.
[4] 魏蕊. 科技类开放获取学术专著元数据元素集的构建[J]. 图书情报工作, 2015, 59(2): 106-111.
[5] GUNSEL B, JAIN A K, TEKALP A M, et al. Multimedia content representation, classification and security. Berlin, Heidelberg: Springer, 2006.
[6] 洪颖. 音乐信息元数据标准的研究[J]. 图书馆工作与研究, 2007(1): 26-30. DOI: 10.16384/j.cnki.lwas.2007.01.009.
[7] 赵海英, 贾耕云, 陈洪. 新疆维吾尔木卡姆音乐元数据研究[J]. 图书馆学刊, 2016, 38(2): 38-41.
[8] 孙豪. 数字化领域的中国传统音乐资源元数据设计[J]. 民族艺术研究, 2016, 29(3): 81-86.
[9] BARROS C M D, CAFÉ L M A. The relevance of music information representation metadata from the perspective of expert users[J]. Transinformao, 2013, 25(3): 213-223.
[10] KANAI K. Differentiation of metadata elements based on users' music information needs: focusing on FRBR, FRAD and variations[J]. Library & information science, 2013, 70: 89-118.
[11] KOWALD D, MUELLNER P, ZANGERLE E, et al. Support the underground: characteristics of beyond-mainstream music listeners[J]. EPJ data science, 2021, 10(14): 1-26.
[12] ZHENG H-T, CHEN J Y, LIANG N, et al. A deep temporal neural music recommendation model utilizing music and user metadata [J]. Applied sciences, 2019, 9: 703.
[13] WENG H, CHEN J, D. WANG, ZHANG X, et al. Graphbased attentive sequential model with metadata for music recommendation[J]. IEEE Access, 2022(10): 108226-108240.
[14] SANTANA, I A P, DOMINGUES, M A. Context-aware music recommendation with metadata awareness and recurrent neural networks [J]. Computing and Informatics, 2022, 41(3): 834-860.
[15] 彭志伟. 2021年中国在线音乐市场格局及现状分析[EB/OL]. [2023-02-20]. https://www.huaon.com/channel/trend/832436.html.
[16] 艾媒网. 2020-2021中国在线音乐行业现状及发展趋势分析[EB/OL]. [2023-02-20]. https://www.iimedia.cn/c1020/77423.html.
[17] 余厚强, 邱均平. 替代计量指标分层与聚合的理论研究[J]. 图书馆杂志, 2014, 33(10): 13-19.
[18] DOWNIE J S. Music information retrieval[J]. Annual review of information science and technology, 2003, 37(1): 295-340.
[19] CAMPELLO B S, CALDEIRA P T, MACEDO V A A. Formas e expressões do conhecimento: introdução às fontes de informação[M]. Belo Horizonte: Escola de Biblioteconomia da UFMG, 1998.