互联网领域潜在高价值专利的智能识别方法研究
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摘要
目前,"高价值专利"成为了各类知识产权政府报告中的热门词汇,企业和国家都聚焦于高价值专利的识别和挖掘,如何从海量的数据库中识别得出较为客观准确的评价结果成为亟待解决的问题。通过对现有评价方法的研究,现有评价模型多为通用型方法和模型,未考虑到各个领域特点,评价方法并不能很好适应所有领域专利的价值评价;且现有方法主要关注授权保护的专利价值的评估,对于审查中潜在高价值专利的识别未有相应评价模型和方法。因此,本文以互联网领域为例,提出一种基于神经网络算法的潜在高价值专利智能识别方法,为企业和政府对高价值专利的挖掘与培育提供智能化的评价工具。
At present, the concept of "high value patent" is becoming increasingly popular in the field of intellectual property. More and more companies are focusing on the identification and mining of high value patents. In the internet, it is an urgent problem to be solved that identify objective and accurate evaluation results from massive databases. The existing evaluation models are mostly general methods and models without considering the characteristics of each domain and focus on value assessment of authorized patents. However, it is not applicable to that identification of potentially high value in the examination.In this paper, we propose a potential high value patented intelligent identification algorithm based on neural network algorithms in the field of internet, to provide intelligent evaluation tools for the mining and cultivation of high value patents for enterprises and governments.
At present, the concept of "high value patent" is becoming increasingly popular in the field of intellectual property. More and more companies are focusing on the identification and mining of high value patents. In the internet, it is an urgent problem to be solved that identify objective and accurate evaluation results from massive databases. The existing evaluation models are mostly general methods and models without considering the characteristics of each domain and focus on value assessment of authorized patents. However, it is not applicable to that identification of potentially high value in the examination.In this paper, we propose a potential high value patented intelligent identification algorithm based on neural network algorithms in the field of internet, to provide intelligent evaluation tools for the mining and cultivation of high value patents for enterprises and governments.
引文
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[2]朱欣昱.基于价值评估体系的智能化数据挖掘手段研究[R].北京:知识产权出版社,2014:12-22.
[3]韩秀成,雷怡.培育高价值专利的理论与实践分析[J].中国发明与专利,2017,12:8-14.
[4]黄剑飞,陈响.浅议高价值核心专利的识别[J].中国发明与专利,2017,8:27-31.
[5]杨丹丹.基于数据挖掘的企业专利价值评估方法研究[J].科学学与科学技术管理,2006,2:42-44.
[6]范月蕾,毛开云,于建荣.核心专利指标效力研究评述[J].图书情报工作,2014,58(24):121-125.
[7]刘帅.面向产业的专利价值评价指标体系研究[C].中国优秀硕士学位论文全文数据库经济与管理科学辑,2016,11:25-33.
[8]王路凯.潜在专利交易机会挖掘方法研究及应用[C].中国优秀硕士学位论文全文数据库经济与管理科学辑,2017,3:37-39.
[9]胡启超.BP神经网络在专利价值评估中的应用研究[C].中国优秀硕士学位论文全文数据库经济与管理科学辑,2014,3:37-52.
[10]吕晓蓉.专利价值评估的动态模拟方法研究[J].科技进步与对策,2017,34(3):117-122.
[11]文家兴.互联网领域的知识产权法律保护[J].法制与社会,2017,1:254-255.
[12]李嘉嘉.移动互联网技术发展现状与趋势[J].通信设计与应用.2017,5:32-33.
[13]互联网技术创新专利观察报告[R].北京:学互联网法律中心、中国科学技术法学会.2016:223-226.
[14]李永红.“互联网+”视角下看专利审查规则的适用[M].北京:知识产权出版社,2017,4:13-14。
[15]胡彩艳,王馨宁.专利价值评估方法探索综述[J].中国发明与专利,2016,3:119-122.
[16]马永涛,张旭,傅俊英,等.核心专利及识别方法综述[J].情报杂志,2014,33(5):38-43.
[17]谷丽,郝涛,任立强,等.专利质量评价指标相关研究综述[J].科研管理,2017,38:27-32.
[18]杨思思,赤仔屹,戴磊.专利技术价值评估及实证研究[J].中国科技论坛,2017,9:146-152.
[19]金泳锋,邱洪华.基于层次分析模型的专利价值模糊评价研究[J].科技进步与对策,2015,32(12):124-128.
[20]资智洪,何燕玲,袁杰,等.专利价值二元分类评估方法的构建及应用[J].科技管理研究,2017,11:129-135.