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