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Scholars Journal of Engineering and Technology | Volume-2 | Issue-02
Handling Unstructured Data for Semantic Web – A Natural Language Processing Approach
Hemant Kumud
Published: Feb. 25, 2014 |
162
123
DOI: 10.36347/sjet
Pages: 193-196
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Abstract
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.