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通过分析现有的网格信息检索系统,指出系统在逻辑模型设计阶段的缺陷是造成性能低劣的根源,尤其是网格本体构建的非自动化和匹配模式的低效更是严重制约了网格信息检索的发展。在对现有网格信息检索模型进行充分研究的基础上,作者结合自身提出的网格本体自动构建理论和改进的匹配模式,提出了基于本体自构的网格信息检索模型,从而为新系统的开发提供理论上的支持。
By analyzing the existing grid information retrieval system, it is pointed out that the defects of the system in the design phase of the logic model are the causes of poor performance. Especially, the inefficiencies of non-automation and matching mode of grid ontology construction severely restrict the grid information Search development. Based on the full research on the existing grid information retrieval model, the author proposed the grid information retrieval model based on ontology self-organization based on the self-constructed grid ontology auto-construction theory and the improved matching mode, Provide theoretical support for the development.