结构化信息语义处理的自动机
An Automat for the Semantic Processing of Structured Information
摘要：
利用PuertoTerm项目的数据库，建立了一个基于Brigitte Enders认知模型的检索系统。通过分析三个抽象的认知策略，我们建立了一个自动机，用来模拟人类索引过程。该自动机允许集成在系统中的文本进行评估，评估和分组的二分谱图分割算法，这也允许可视化的条款和文件。该系统采用本体论和数据库相结合的方式，增强了系统的可操作性。作为应用的结果，我们实现了更好的详尽率在索引的文件，以及更高的精度和检索的信息，高水平的效率。
英文摘要：
Using the database of the PuertoTerm project, an indexing system based on the cognitive model of Brigitte Enders was built. By analyzing the cognitive strategies of three abstractors, we built an automat that serves to simulate human indexing processes. The automat allows the texts integrated in the system to be assessed, evaluated and grouped by means of the bipartite spectral graph partitioning algorithm, which also permits visualization of the terms and the documents. The system features an ontology and a database to enhance its operativity. As a result of the application, we achieved better rates of exhaustivity in the indexing of documents, as well as greater precision and retrieval of information, with high levels of efficiency.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
