DOI: 10.36347/sjet

Pages: 193-196

World Wide Web is a large repository of structured data and un-structured data. Structured data has a wellfixed structure thus is easy to analyze and use with computational machinery. On the other side handling of unstructured data is a challenging task for knowledge base. This paper describes Natural Language Processing techniques for handling unstructured data and its usefulness for semantic Web so that knowledge extracted from un-structured data can be useful for searchers ease of access and extraction of relevant documents.