Ontology based Domain Dictionary

Document classification is a key component in the realisation of many applications, including Text Summarization, Semantic Web, Search Engine Optimization, Sentiment Analysis among many others._Extracting domain keywords from documents helps to optimize the task of document classification involved in Information Retrieval. The existing state of the art techniques extensively depend on keyword extraction based on term document frequency. Also, these techniques rank words based on the title of the document, which, in some cases, is imprecise as the title of the document may not have words relevant to the context of the document. To overcome such problems, we propose a model for ontology based keyword extraction to increase the accuracy of document classification and in turn its applications. The objective of our paper is to extract domain specific keywords from the given text document with the help of a Domain Dictionary created using Ontology. This approach can further be extended towards revitalizing text summarization techniques.