Semantic Information Extraction From Ontology Using Natural Language Query Processing
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 3, March 2015

Semantic Information Extraction From Ontology Using Natural Language Query Processing

Sudarshan D. Awale, S. J. Karale

Information retrieval from triple based ontological database play important role for many organizations. General search engines use based search mechanisms. They retrieve huge amount of data from which sometimes it becomes difficult for users to identify relevant information. Semantic approach can be used to retrieve relevant information from ontological database. Here we have proposed and implemented an information retrieval system based on NL triplet extraction algorithm.

Keywords: Index terms RDF, SPARQL, Ontology, OWL

Edition: Volume 4 Issue 3, March 2015

Pages: 2435 - 2437

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How to Cite this Article?

Sudarshan D. Awale, S. J. Karale, "Semantic Information Extraction From Ontology Using Natural Language Query Processing", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB152791, Volume 4 Issue 3, March 2015, 2435 - 2437

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