Research on Mechanism of Agricultural FAQ Retrieval Based on Ontology

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 sema...

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Bibliographic Details
Main Authors: Fang Wang, Guifa Teng, Lisheng Ren, JianBin Ma
Format: Conference Proceeding
Language:English
Subjects:
agricultural FAQ retrieval
Agriculture
Animals
Educational institutions
Information science
Ontologies
Ontology
Ontology-Based Classification
Production
Support vector machine classification
Online Access:Request full text
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Summary: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.
DOI:10.1109/SNPD.2008.41