DocumentCode :
684755
Title :
ACQA_onto: An ontology approach for restrain domain question answering system
Author :
Depeng Hu ; Wensheng Wang ; Nengfu Xie ; Cungen Cao
Author_Institution :
Inst. of Agric. Inf., Chinese Acad. of Agric. Sci., Beijing, China
fYear :
2012
fDate :
7-9 Dec. 2012
Firstpage :
1
Lastpage :
5
Abstract :
This paper presented a restrained domain ontology model for agriculture cultivation question answering system - ACQA_onto. The question answering system (QA) has become one effective approach for knowledge engineering research. Ontologies could make the restrain domain concepts of semantics being understood by computer, which have been one significant technique for question answering system. This paper provided introduction ontologies in general and subsequently, in particularly, shortly provided the definition of domain ontology for agriculture cultivation. In main part, this paper presented the restricted domain ontology models and concept level vector space model of information retrieval (IR). The ontological representations of documents for agriculture cultivation question answering system was presented, and descript the prototype of ACQA_onto, in which part focalized with the process of generating answers from question. The result of ACQA_onto was proposed and the future work of question answering system for agriculture cultivation was introduced briefly.
Keywords :
agriculture; knowledge engineering; ontologies (artificial intelligence); question answering (information retrieval); ACQA_onto; agriculture cultivation question answering system; document ontological representations; information retrieval; knowledge engineering research; restrain domain question answering system; restrained domain ontology model; restricted domain ontology models; semantics; vector space model; agriculture cultivation; domain ontology; question answering system; vector space model;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
Conference_Location :
Shenzhen
Electronic_ISBN :
978-1-84919-641-3
Type :
conf
DOI :
10.1049/cp.2012.2341
Filename :
6755720
Link To Document :
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