DocumentCode :
3681063
Title :
Enhancing property and type detection for a QA system over linked data
Author :
Bogdan Nicula;Stefan Ruseti;Traian Rebedea
Author_Institution :
Computer Science Department, University Politehnica of Bucharest Bucharest, Romania
fYear :
2015
Firstpage :
167
Lastpage :
172
Abstract :
In this paper we discuss the detection of concepts for question answering systems using Linked Data. The emphasis will be put on the detection of types and properties. We will present different methods that are currently being used for these tasks and the improvements proposed to improve the performance of QA systems. Both modules have been trained by analyzing a large subset of Wikipedia pages which have a correspondent in the DBpedia [1] knowledge base. The paper also presents the preliminary test results for both modules which show that the proposed methods have a good performance and should be integrated in the next version of our QA system over Linked Data.
Keywords :
"Decision support systems","Quality of service"
Publisher :
ieee
Conference_Titel :
RoEduNet International Conference - Networking in Education and Research (RoEduNet NER), 2015 14th
ISSN :
2068-1038
Print_ISBN :
978-1-4673-8179-6
Electronic_ISBN :
2247-5443
Type :
conf
DOI :
10.1109/RoEduNet.2015.7311988
Filename :
7311988
Link To Document :
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