Linguistic rule-based translation of natural language question into SPARQL query for effective semantic question answering

Linguistic rule-based translation of natural language question into SPARQL query for effective semantic question answering

Semantic question answering (SQA) demands different processing compared to the common information retrieval method because the semantic knowledge base is stored in the triples form. However, manipulating the knowledge requires understanding of its structure and proficiency in semantic query language...

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Bibliographic Details
Main Authors: Mohd Sharef, Nurfadhlina, Mohd Noah, Shahrul Azman, Azmi Murad, Masrah Azrifah
Format: Article
Language:English
Published: Little Lion Scientific R&D 2015
Online Access:http://psasir.upm.edu.my/id/eprint/64662/
http://psasir.upm.edu.my/id/eprint/64662/1/Linguistic%20rule-based%20translation%20of%20natural%20language%20question%20into%20SPARQL%20query%20for%20effective%20semantic%20question%20answering.pdf

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