Question Answering System over Linked Data: A Detailed Survey

ABC Research Alert

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Field Value
 
Title Question Answering System over Linked Data: A Detailed Survey
 
Creator Rasiq, G. M. Rasiqul Islam
Sefat, Abdullah Al
Hossain, Tanjila
Munna, Md. Israt-E-Hasan
Jisha, Jubayeath Jahan
Hoque, Mohammad Moinul
 
Subject Natural Language Processing
Question Answering (QA) Systems
Ontological resources
 
Description As the amount of information in the world is growing very quickly, in the case of the semantic web this increasing amount of information is becoming more difficult to find and manage the exact answers to our various questions. To overcome these difficulties some systems have been developed that make it work for us. But there exists many challenges in developing these systems that require a lot of improvement. In this tutorial, we give a basic understanding of Semantic web, RDF triple, SPARQL query language. Here we will discuss the main obstacles for the QA system in processing the questions and a detailed survey of the existing systems. We also provide some advantages and disadvantages of existing QA systems. We also discuss the evaluation campaigns of the existing models based on their precision, recall and F-1 scores on the QALD dataset.
 
 
Publisher Asian Business Consortium
 
Date 2020-04-14
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://abc.us.org/ojs/index.php/abcra/article/view/449
10.18034/abcra.v8i1.449
 
Source ABC Research Alert; Vol. 8 No. 1 (2020): January-April Issue; 32-47
2413-5224
10.18034/abcra.v8i1
 
Language eng
 
Relation https://abc.us.org/ojs/index.php/abcra/article/view/449/864
 
Rights Copyright (c) 2020 G. M. Rasiqul Islam Rasiq, Abdullah Al Sefat, Tanjila Hossain, Md. Israt-E-Hasan Munna, Jubayeath Jahan Jisha, Mohammad Moinul Hoque
http://creativecommons.org/licenses/by-nc/4.0
 

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