Study and Development of Question Answering System based on Ontology Query

DOI

10.2991/icca-16.2016.103How to use a DOI?

Keywords

Domain ontology, Natural language question, Semantics understanding, Question and answering (QA)

Abstract

With respect to the ontology knowledge representation of refrigerator, a question answering system was designed based on ontology triple structure query. The ontology knowledge representation of refrigerator is built with representing the refrigerators’ instance, attributes and values with the subject-predicate-object triples format. We analyze the natural language question, extract key words, analyze the dependencies between keywords, and build the query for ontology triples. The question answering system is implemented based on the Jena API and supports natural language querying OWL ontology. The results showed that, compared with Yang Tianqi’s method, this method improve recall ratio and precision by 4.96% and 3.81% respectively.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaoqiang Liu
AU  - Zhenbo Guo
AU  - Kaixi Wang
AU  - Wenxu Jiang
PY  - 2016/01
DA  - 2016/01
TI  - Study and Development of Question Answering System based on Ontology Query
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 430
EP  - 432
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.103
DO  - 10.2991/icca-16.2016.103
ID  - Liu2016/01
ER  -