Handling Unstructured Data for Semantic Web – A Natural Language Processing Approach
Journal Title: Scholars Journal of Engineering and Technology - Year 2014, Vol 2, Issue 2
Abstract
World Wide Web is a large repository of structured data and un-structured data. Structured data has a well-fixed 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. Keywords: Semantic Web, NLP (Natural Language Processing), Ontology and Knowledge Base
Authors and Affiliations
Hemant Kumud
Keywords
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