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