A DOCUMENT PROCESSING SYSTEM

在此基础上开发了一套C语言程序系统 在中查找密切相关文档的目的 梅德莱恩。该系统具有许多独特的功能： 1)它高度模块化，因此系统中的更改 执行起来相对简单。 2)该系统目前操作的是 ASN1格式，但更改了 系统将允许将其应用于任何大型数据库 由离散的文本记录组成的。 3)系统的设计具有一定的安全性，以防止 操作系统崩溃或断电导致数据丢失 停电。 4)系统处理的所有数据都永久存储 形式为倒排文件结构等。这些结构是 可更新，以便可以不断将新数据添加到 当系统可用时。 5)使用贝叶斯对文档进行相互比较 分析形式和与之相关的统计数据 术语的权重基于从以前的 文档比较。这些统计数据通过以下方式更新 每一个新的处理周期。 所描述的批处理系统现在被用作源 对于一个在线检索系统，它将允许人们输入 输入或导入文本并使用这样的查询搜索数据库 使用贝叶斯检索。这一点与 间歇系统的邻域与布尔值 Entrez检索系统的功能。我们的计划是 为该部件提供通用的通用访问设施 与分子生物学相关的Medline。工作仍在进行中 在这个系统上。

A system of C language programs has been developed for the purpose of finding the closely related documents in Medline. The system has a number of unique features: 1) It is highly modular so that alterations in the system are relatively simple to perform. 2) The system currently operates on Medline data in the ASN1 format but a change in the interface portion of the system would allow it to be applied to any large database consisting of discrete textual records. 3) The system is designed with a degree of security against loss of data due to operating system crashes or power outages. 4) All data processed by the system is stored in permanent form as inverted file structures, etc. These structures are updatable so that new data may be continually added to the system as it becomes available. 5) Documents are compared with each other using a Bayesian form of analysis and the statistics on which the relevance weighting of terms is based are derived from previous document comparisons. These statistics are updated with each new cycle of processing. The batch system described is now being used as the source for an online retrieval system that will allow one to type in or import text and search the database with such a query using Bayesian retrieval. This is coupled with the neighboring of the batch system and the boolean capabilities of the Entrez retrieval system. The plan is to have a versatile general access facility for that part of medline relevant to molecular biology. Work is ongoing on this system.