A Survey On Mining Conceptual Rule and Ontological Matching For Text Summarization

The escalation of web information has constrained rigorous research in the area of text summarization in Natural Language Processing community. When an information is being retrieved from such an enormous collection of web documents, thousands and lakhs of documents are retrieved daily. Hence, for user, it's impossible to read all the retrieved documents. So for abetting and elucidate text information the automatic text summarization technique has become a very supreme and felicitous tool. The technique of Summarization consist of curtailing a text document with a computer program to create a outline that retains the important details and overall meaning of the original document. Today text mining has emerged as a very popular innovative field among researchers that endeavors to extract important and useful information from natural language processing of text. Various mining model are present that can be use that identify the concepts of the given document, phrases or sentences which identify the topic and summary of the given document.