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

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 3, March 2015 | Popularity: 6.4 / 10


     

Semantic Information Extraction From Ontology Using Natural Language Query Processing

Sudarshan D. Awale, S. J. Karale


Abstract: 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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Sudarshan D. Awale, S. J. Karale, "Semantic Information Extraction From Ontology Using Natural Language Query Processing", International Journal of Science and Research (IJSR), Volume 4 Issue 3, March 2015, pp. 2435-2437, https://www.ijsr.net/getabstract.php?paperid=SUB152791, DOI: https://www.doi.org/10.21275/SUB152791

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