基于智能搜索Agent和进化模型选择目标信息的数据存储组织特性
Peculiarities of organization of data storage based on intelligent search agent and evolutionary model selection the target information
摘要：
本文系统地回顾了发展理论基础和试验性实施数据储存技术的结果，该技术可自动补充来自不同专题部分来源的数据。预计该储存库将载有关于具有重大创新潜力的物体的信息。这种信息的选择机制是基于确定其与生成的搜索查询的语义相关性。同时，定量评估对象的创新，特别是他们的技术新颖性和需求。本文介绍了公认的创新指标，讨论了证据理论在处理不完全和模糊信息中的应用，确定了处理测量结果以计算创新成分概率值的方法的主要思想，简述了进化论在客体原型语言模型形成中的应用，提供了有关开发的计算模型的充分性的实验验证的信息。本文的研究成果可用于企业的经营规划、技术发展预测、投资项目的信息支持等方面。
英文摘要：
The article presents a systematic review of the results of the development of the theoretical basis and the pilot implementation of data storage technology with automatic replenishment of data from sources belonging to different thematic segments. It is expected that the repository will contain information about objects with significant innovative potential. The mechanism of selection of such information is based on the determination of its semantic relevance to the generated search queries. At the same time, a quantitative assessment of the innovation of objects, in particular their technological novelty and demand is given. The article describes the accepted indicators of innovation, discusses the application of the theory of evidence for the processing of incomplete and fuzzy information, identifies the main ideas of the method of processing the results of measurements for the calculation of the probabilistic value of the components of innovation, briefly describes the application of the evolutionary approach in the formation of the linguistic model of the archetype of the object, provides information about the experimental verification of the adequacy of the developed computational model. The research results that are described in the article can be used for business planning, forecasting of technological development, information support of investment projects expertise.
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