Creating a Document Control Quality Management Database

Document Management as a Database Problem

1. Document Acquisition There is a broad spectrum of techniques how to acquire documents in such a way, that they are in computerreadable form and can be stored in a document base. This spectrum ranges from fully automatic at low cost via semiautomatic using tools like scanners and optical character recognition (OCR) to manual acquisition according to elaborate rules and regulations. The purpos...

Apply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...

Automatic Document Quality Control

This paper focuses on automatically improving the readability of documents. We explore mechanisms relating to content control that could be used (i) by authors to improve the quality and consistency of the language used in authoring; and (ii) to find a means to demonstrate this to readers. To achieve this, we implemented and evaluated a number of software components, including those of the Univ...

Towards Creating Application-Specific Database Management Systems

Apply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...