TY - JOUR
T1 - A computation study on semantics based weighted sentence similarity
AU - Li, Dongmei
AU - Hou, Jiajia
AU - Hao, Shudong
AU - Li, Na
AU - Zhang, Bo
PY - 2013
Y1 - 2013
N2 - Semantic similarity is the essential part of automatic question answering system, and the computation of semantic similarity based on ontology can provide more various semantic information compared with the traditional method. In this paper, we firstly propose a semantic similarity algorithm used in the sentence similarity computation, combining relations of semantics, hierarchical structure and depth. Next, based on conventional sentence similarity algorithm, we develop a weighted sentence similarity algorithm. Finally, a question answering system is implemented with the two proposed algorithms. The experimental results show that our proposed method can achieve higher accuracy than others.
AB - Semantic similarity is the essential part of automatic question answering system, and the computation of semantic similarity based on ontology can provide more various semantic information compared with the traditional method. In this paper, we firstly propose a semantic similarity algorithm used in the sentence similarity computation, combining relations of semantics, hierarchical structure and depth. Next, based on conventional sentence similarity algorithm, we develop a weighted sentence similarity algorithm. Finally, a question answering system is implemented with the two proposed algorithms. The experimental results show that our proposed method can achieve higher accuracy than others.
KW - Ontology
KW - Orchard pests and diseases
KW - Semantic similarity
KW - Sentence similarity
UR - http://www.scopus.com/inward/record.url?scp=84889242812&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84889242812&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84889242812
VL - 5
SP - 225
EP - 231
JO - Journal of Chemical and Pharmaceutical Research
JF - Journal of Chemical and Pharmaceutical Research
IS - 8
ER -