欧洲专利局专利法律状态数据深加工关键问题研究

Research on Key Issues of Deep Processing of Patent Law Status Data of European Patent Office

摘要:

不同数据库法律事件代码的多来源和不一致性给专利法律事件的分类和数据深加工带来较大阻碍，目前尚未形成层次化、系统化的分类体系架构。对此，以欧洲专利局（EPO）提供的全球专利法律状态XML数据为研究对象，详细介绍数据覆盖范围以及不同类型交换数据的数据格式；基于对PatSnap、Innography、IncoPat、SooPAT、万象云和佰腾网等国内外知名专利检索分析平台中的专利法律状态对比，把EPO专利法律状态归纳为在审、授权、有效、失效、技术转移和其他六大类，并根据各类别在专利生命周期中出现的位置，对专利当前法律状态的有效性划分为在审、有效和失效3种状态，同时将4 000多个EPO法律事件代码中的转让代码和专利许可代码进行详细分类标引，针对专利法律状态分类体系构建、专利当前有效性判定、专利技术转移分类等关键问题，对EPO专利数据进行结构化解析和深加工，从而构建EPO专利法律状态数据库物理模型，为提高专利检索和分析工作的质量和效率提供支撑。

Abstract:

The multiple sources and inconsistency of legal event codes in different databases have greatly hindered the classification of patent legal events and the deep processing of data, and a hierarchical and systematic classification architecture has not yet been formed. Therefore, this study takes the global patent legal status XML data provided by the European Patent Office (EPO) as the research object, and introduces the data coverage and data formats of different types of exchange data in detail. Based on the comparison of patent legal status in famous patent retrieval and analysis platforms, such as PatSnap, Innography, IncoPat, SooPAT, WanXiangYun and Baiten, the legal status of EPO patents can be classified into six categories: pending, granted, valid, invalid, technology transfer and others. According to the position of each category in the patent life cycle, the validity of the current legal status of patents is divided into three states: pending, valid and invalid. At the same time, the transfer code and patent license code in more than 4000 EPO legal event codes are classified and indexed in detail. Through the research on the key issues such as the construction of the classification system of patent legal status, the determination of the current validity of patents, and the classification of patent technology transfer, the EPO patent data is structured and deeply processed, so as to build the physical model of the EPO patent legal status database and provide support for improving the quality and efficiency of patent retrieval and analysis.