Semantic Web Application for Email Receipts

Abstract

This thesis is about enhancing receipts by extracting information from them and create receipts in semantic format. It involves data mining techniques for processing emails and categorisation of products. These techniques and methods were implemented and tested in a web application, which confirms that it is possible to create receipts in a semantic format. External services were used to analyse existing semantic metadata for products and perform category search. The findings showed that there is improvement potential in how receipts are modelled, especially with regard to semantic category specification of products.