信息系统集成高价值专利数据

信息系统集成高价值专利数据库中主要包括了全球专利数据库中有信息系统集成的发明专利和实用新型专利数据，并根据自有算法对专利数据进行了检索、评价打分，有助于了解信息系统集成知识产权申请情况及地域布局；通过对各企业信息系统集成专利数据的对比，可了解各企业的技术创新能力；了解信息系统集成发展趋势及核心技术，有助于企业避免重复研发及侵犯他人的知识产权。本数据基于AHP层次法，采用定量与定性相结合，从专利价值度法出发，指标层将专利价值指标体系分为技术、法律、经济3项一级指标，一级指标层向下为二级指标，包括技术价值指标：独立权利要求数量、主权项字数、专利剩余年限、同族专利数、引证其它专利数、被其他专利引证数、申请人类型得分、发明人投入人数、涉及领域数；法律价值指标：专利类型、文献页数、被无效请求次数；经济价值指标：转让次数、许可次数、质押融资次数、专利奖得分、海关备案得分；根据一级、二级指标建立3个维度的矩阵，根据专利名称和专利号通过专利接口数据获取专利评价对应的数据指标，采用1-9分标度法（最低为1分，最高为9分），求得相应的指标权重，用权重技术各个指标的分值，所有指标分值的和即为专利得分，根据分值的区间段对专利进行划分，为信息系统集成企业研发人员提供技术参考及指引，为公司提供研发决策指导。

High-Value Patent Database for Information System Integration mainly covers invention patents and utility model patents related to information system integration from global patent databases. It retrieves and evaluates the patent data with its proprietary algorithm, which helps to understand the intellectual property (IP) filing status and geographical layout of information system integration. By comparing the patent data of information system integration across different enterprises, one can assess their technological innovation capabilities. Grasping the development trends and core technologies of information system integration also assists enterprises in avoiding redundant R&D and intellectual property infringement.

This dataset is based on the AHP (Analytic Hierarchy Process) method, combining quantitative and qualitative analysis, starting from the patent valuation methodology. The patent value indicator system is divided into three first-level indicators: technical, legal, and economic value. The first-level indicators are further broken down into second-level indicators:
Technical value indicators include: number of independent claims, word count of the independent claim, remaining patent term, number of patent families, number of cited patents, number of times cited by other patents, score of applicant type, number of participating inventors, and number of technical fields covered;
Legal value indicators include: patent type, number of document pages, and number of invalidation requests received;
Economic value indicators include: number of transfers, number of licenses, number of pledge financing cases, score of patent awards, and score of customs recordation.

A three-dimensional matrix is established based on the first-level and second-level indicators. The corresponding data indicators for patent evaluation are acquired via patent interface data using patent titles and patent numbers. The 1-9 scoring scale (1 being the lowest score, 9 being the highest score) is applied to calculate the weights of each indicator, which are then used to compute the scores of individual indicators. The sum of all individual indicator scores yields the total patent score. Patents are categorized according to their total score intervals, providing technical references and guidance for R&D personnel of information system integration enterprises, as well as R&D decision-making support for companies.

搜集汇总

数据集介绍

特点

该数据集为信息系统集成领域的高价值专利数据，包含316条专利信息，涵盖技术、法律和经济三个维度的评价指标。数据通过AHP层次法进行评分，每年更新一次，适用于企业研发决策和技术创新分析。