System for assembling large databases through information extracted from

Abstract

Traditional information extraction processes are usually implemented on a programmed general purpose computer. The process looks for certain information, and organizes the information into a database record. The database created is usually stored in a searchable format such as a structured relational database or an object-orientated structured database, which can be accessed, research, and analyzed by computer-implemented database research systems. However, generic information extraction processes only input the extracted information into the database, in the last step of the process and do not address the problem of compiling large and comprehensive database from a plurality of source documents. Furthermore, information extraction processes are not focused on how the information extracted will be used in the construction of a large database. It would be desirable to have an information extraction system with the ability to assemble extracted information and to recognize any conflicts between the extracted information and the contents of an existing database. Accordingly, the invention is an information indexing process with the above features having the ability to construct a database with a high degree of integrity from a plurality of source documents.