|
|
The Development Trend Research about Technology of Cultural IndustryBased on Patent Mining Analysis |
Zhou Li1,Liu Miao1,Zhou Ruige2,Tang Tian1 |
(1.Arts and Communication School,China University of Geosciences(Wuhan),Wuhan 430074,China;2.Herberger Institute for Design and the Arts,Arizona State University,Tempe 85281, USA) |
|
|
Abstract This paper is based on Citespace literature measurement software, with visual analysis technology.It takes music technology industry as the example, uses Derwent patent database as the field of search, also Citespace, Matlab and other software have been used as tools to overall mining the patent data of music technology industry from the year of 1960 to 2016.The result shows a steady high-speed increase of patent applications in music technology, mainly focus on industrial technologies such as instrumental acoustic, audio/visual recording, and A/V systems.The representative institutions of the music technology industry are YAMAHA, KAWAI, CASIO.These findings indicate the four cycles of music technology industrial patent applications, which are the stagnation stage in 1960-1972, the germination stage in 1972-1992, the development stage in 1993-2005, and the maturity stage of 2006-present, respectively.On this basis, this paper concludes an undergo steady and fast growth has already formed in the music technology industry, and digital music will be the central aspect in the future music industry development.The Chinese music technology industry development is experiencing its development stage, and this paper suggested that we focus on the developing directions, strengthen school-enterprise cooperation, continuously improve the intellectual property protection system.It is of great significance for the development of science, technology and culture industry technology, the promotion of national cultural confidence, and the construction of a cultural power in China.
|
Received: 20 August 2019
|
|
|
|
|
[1] 周莉, 邓阳.人工智能作曲的发展现状与趋势探究[J].艺术探索, 2018, 32(5): 107-111. [2]杨传张, 祁述裕.拓荒与深耕: 2014-2017年我国文化产业研究综述[J].山东大学学报:哲学社会科学版,2018(6):167-176. [3]高兴.音乐科技史机器研究领域初论[J].科学技术哲学研究,2011,28(4):78-83. [4]李伟,李子晋,高永伟.理解数字音乐——音乐信息检索技术综述[J].复旦学报:自然科学版,2018,57(3):271-313. [5]黄超,刘琼泽,仲伟俊.基于专利分析的机器人产业技术情报研究[J].情报杂志,2012,31(11): 100-105+99. [6]王伟光,余景年,彭莉.中国工业机器人产业技术研究——专利地图视角[J].科技进步与对策,2017,34(07):55-61. [7]屈鹏,张均胜,曾文,等.国内外专利挖掘研究(2005-2014)综述[J].图书情报工作,2014,58(20):131-137. [8]龚慧群,刘琼泽,黄超.机器人产业技术机会发现研究——基于专利文本挖掘[J].科技进步与对策,2014,31(5):70-74. [9]赖朝安,钱娇.基于专利挖掘的移动医疗产业技术预见[J].科研管理,2018,39(10):138-147. [10] CHAOAN LAI,CUILU XU.The application of patent mining in the forecast of smart home industry[J].Management Science and Engineering,2016,10(1):67-75. [11]曾遂今.音乐网络传播与当代人的音乐观[J].中国音乐,2006(4):27-34+41+237. [12]唐思思,肖俨衍.数字音乐深度报告:经典永流传,付费为风帆[DB/OL].http://www.sohu.com/a/256514193_313170,2018-09-27. [13]IFPI 2018全球音乐报告发布[EB/OL].http://www.cavca.org/news_show.php?un=xhxw&id=1055&tn=%EF%BF%BD%EF%BF%BD%D2%B5%EF%BF%BD%EF%BF%BD%CC%AC,2018-04-27. |
[1] |
. [J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2015, 32(24): 56-61. |
|
|
|
|