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在甲骨文信息化研究中,基于关键词匹配的检索方式在查全率和查准率两个方面均不理想。领域本体作为共享概率化的明确的形式化规范说明,既可以将检索范围限定在特定领域,也可以通过概念间的关系寻找与关键字相关联的潜在信息,从而有效弥补关键词匹配方式的缺陷。在构建甲骨文文献本体的基础上,建立了一个基于领域本体的甲骨文文献语义检索模型,通过查询分析模块对查询条件进行分析,将检索关键词进行语义扩展,从而得到新的检索条件,再通过检索分析模块与本体库映射进行语义推理,从而提高检索的准确率和查全率。
In the research of Oracle informationalization, the retrieval method based on keyword matching is not ideal in both recall and accuracy. Domain ontology, as an explicit and formalized specification of shared probabilisticization, can not only limit the scope of the search to specific areas, but also find the potential information associated with the keywords through the relationship between the concepts so as to effectively make up for the shortcomings of keyword matching . Based on the ontology of Oracle, a semantic retrieval model of Oracle documents based on domain ontology was established. Through the query analysis module, the query conditions were analyzed and the retrieval keywords were semantically extended to obtain new retrieval conditions. Analysis module and ontology basemap for semantic reasoning, so as to improve the retrieval accuracy and recall rate.