A DOCUMENT PROCESSING SYSTEM

开发了一个C语言程序系统， 查找密切相关文件的目的 Medline.该系统具有许多独特的功能： 1)它是高度模块化的， 执行起来相对简单。 2)该系统目前在Medline数据上运行， ASN1格式，但在接口部分的变化 系统将允许它应用于任何大型数据库 由离散的文本记录组成。 3)该系统的设计具有一定程度的安全性， 由于操作系统崩溃或断电而导致的数据丢失 停电。 4)系统处理的所有数据都永久存储在 形式为倒排文件结构等。这些结构是 可更新，以便可以不断向 系统，因为它是可用的。 5)使用贝叶斯方法将文档相互比较， 分析形式和统计数据， 项的权重是基于从先前的 文件比较。这些统计数据更新为 每一个新的加工周期。 所描述的批处理系统现在被用作源 一个在线检索系统， 输入或导入文本，并使用此类查询搜索数据库 使用贝叶斯检索。这与 批处理系统和布尔系统的邻居 这是一个强大的检索系统。 该计划是 有一个多功能的通用访问设施， 与分子生物学相关的医学期刊。工作正在进行 在之上这系统.

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.