Question Answering System over Linked Data: A Detailed Survey

ABC Research Alert

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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
Format application/pdf
Source ABC Research Alert; Vol. 8 No. 1 (2020): January-April Issue; 32-47
Language eng
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

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