ABSTRACT

The aim of this project work is to design and develop a context summary generator system using data-mining. Despite the growing availability of electronic documents and the accessibility of desktop publishing technology, abstracts are still manually generated. The goal of this research is to develop an automated system that can produce a summary extract of any document fed into it as input so that a reader can take a look at the contextual interpretation of what the document states. The aim is to save time and effort for prospective readers to find useful information in a particular article or document. The system generates a shorter version of a particular sentence while attempting to maintain its meaning. This task is carried out using summarization techniques. The system will be developed using the .NET Framework, MS Access, a relational database and the .NET high level programming language.