基于专利扫描的技术融合创新轨道监测系统研究

发布时间：2019-06-05 04:40

【摘要】：伴随经济全球化程度的加剧，有限的技术与资源成为制约企业拥有持续创新能力的关键因素，而创新作为组织在激烈的市场竞争中保持稳定利润增长的基础，其所受到的关注与投入也不断加大。从而，越来越多的创新基本要素通过融合的方式实现优势互补和效益整合，整个创新系统由此实现了创新能力、水平及其不可替代性的飞跃，即为技术融合创新的过程。专利信息可以作为表征新技术产生的重要指标，是监测技术融合创新的重要数据源。使用基于专利的技术环境扫描的思想可以实现对融合创新的动态监测。在方法层面，当前研究中鲜有方法能够从动态的角度准确识别技术融合路径的变化轨迹；而方法的缺失源于专利存储与分析技术的局限性。需要构建一种合理的信息组织模型作为专利知识库，并设计、实现基于这种模型的信息检索和结果呈现方法，即通过对知识库的应用实现技术融合创新轨道监测。本研究针对德温特专利信息，设计专利本体及专利信息实例在本体知识库中的组织方式，面向对专利信息的监测和分析需求，构建专利本体模型，从数据结构层面有效解决数据冗余、查询效率等问题；通过语义标注的方式完成专利本体知识库的构建，即本体实例化的过程，且使用图形数据库作为存储本体知识库的介质；使用本体查询和推理技术，基于语义检索方法，较为高效地获取专利信息中蕴含的显性和隐性语义信息、知识，设计基于语义检索的技术融合创新轨道监测算法，最终实现对技术融合创新轨道的监测和分析，并结合实证研究验证了监测与分析算法的可行性。本文的创新点在于：第一，使用图形数据库Neo4j作为本体知识库的存储介质，研究本体结构与图结构的映射关系，，设计并实现本体实例化算法，自动化完成本体知识库构建和存储；第二，从知识流动的角度出发，面向本体知识库，提出基于语义检索的技术融合创新轨道监测算法。
[Abstract]:With the aggravation of the degree of economic globalization, limited technology and resources have become the key factors restricting the ability of enterprises to have sustainable innovation, and innovation is the basis for organizations to maintain stable profit growth in the fierce market competition. Its attention and investment are also increasing. Therefore, more and more basic elements of innovation realize complementary advantages and benefit integration through integration, and the whole innovation system realizes the leap of innovation ability, level and irreplaceable, that is, the process of technology integration and innovation. Patent information can be used as an important index to characterize the emergence of new technologies and an important data source for monitoring technology integration and innovation. The dynamic monitoring of fusion innovation can be realized by using the idea of patent-based technology environment scanning. At the methodological level, few methods in the current research can accurately identify the trajectory of the fusion path from a dynamic point of view, and the lack of methods stems from the limitations of patent storage and analysis technology. It is necessary to construct a reasonable information organization model as patent knowledge base, and design and realize the method of information retrieval and result presentation based on this model, that is, to realize the monitoring of technology fusion and innovation track through the application of knowledge base. In this study, aiming at Derwent patent information, the organization of patent ontology and patent information examples in ontology knowledge base is designed, and the patent ontology model is constructed for the monitoring and analysis of patent information. The problems of data redundancy and query efficiency are effectively solved from the level of data structure. The construction of patent ontology knowledge base is completed by semantic tagging, that is, the process of ontology instantiation, and the graphic database is used as the medium to store ontology knowledge base. Using ontology query and reasoning technology, based on semantic retrieval method, the explicit and implicit semantic information and knowledge contained in patent information are obtained more efficiently, and a technology fusion innovation track monitoring algorithm based on semantic retrieval is designed. Finally, the monitoring and analysis of the innovation track of technology integration is realized, and the feasibility of the monitoring and analysis algorithm is verified by empirical research. The innovations of this paper are as follows: first, the graphic database Neo4j is used as the storage medium of ontology knowledge base, the mapping relationship between ontology structure and graph structure is studied, and the ontology instantiation algorithm is designed and implemented. Automatic completion of ontology knowledge base construction and storage; Secondly, from the point of view of knowledge flow, a technology fusion innovation track monitoring algorithm based on semantic retrieval is proposed for ontology knowledge base.
【学位授予单位】：北京工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：G306

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