DocumentCode :
3246073
Title :
An ontology-based semantic search model study
Author :
Zhao, Chongchong ; Wang, Jing ; Hu, Wei ; Yu, Xiao ; Wang, Xiaofeng
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2010
fDate :
20-21 Oct. 2010
Firstpage :
182
Lastpage :
185
Abstract :
With the explosion of data growth, the problem how to retrieve information accurately and effectively comes into focus. To address this issue, researchers have put forward a variety of semantic retrieval models. This paper presents SDDP(Semantic, Density, Distance, Property) model which is an improved ontology-based semantic similarity calculation, and in this model the factors, such as semantic density, semantic depth, semantic distance and the attribute-based similarity calculation, are all involved. It was proved by experiment that the model has more improvement than other models in the recall and precision ratio.
Keywords :
information retrieval; ontologies (artificial intelligence); semantic Web; SDDP; attribute-based similarity calculation; data growth; information retrieval; ontology-based semantic search model study; ontology-based semantic similarity calculation; semantic density; semantic depth; semantic distance; semantic retrieval models; Computational modeling; Computers; ontology; semantic density; semantic distance; semantic retrieval; similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8004-3
Type :
conf
DOI :
10.1109/KAM.2010.5646212
Filename :
5646212
Link To Document :
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