Research on Mechanism of Agricultural FAQ Retrieval Based on Ontology

Author

Wang, Fang ; Teng, Guifa ; Ren, Lisheng ; Jianbin Ma

Author_Institution

Coll. of Inf. Sci. & Technol., Agric. Univ. of Hebei, Hebei

fYear

2008

fDate

6-8 Aug. 2008

Firstpage

955

Lastpage

958

Abstract

In this paper, an ontology-based system for the agricultural FAQ retrieval was presented. A small pool of candidate question-answering pairs and sentence similarity were obtained using ontology-based automatic classification. The best performance was got based on splitted vector space model and semantic concept. The experiment was made to test the effect of the system. The satisfying results were obtained which proved that the system could effectively improve the performance of the agricultural domain FAQ retrieval system comparing with the baseline keyword FAQ system.

Keywords

agriculture; classification; ontologies (artificial intelligence); query processing; agricultural FAQ retrieval; ontology-based automatic classification; question-answering pairs; semantic concept; sentence similarity; splitted vector space model; Agriculture; Animals; Crops; Educational institutions; Information retrieval; Information science; Natural languages; Ontologies; Production materials; Space technology; Ontology; Ontology-Based Classification; agricultural FAQ retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on

Conference_Location

Phuket

Print_ISBN

978-0-7695-3263-9

Type

conf

DOI

10.1109/SNPD.2008.41

Filename

4617492