Title :
Image Semantics Recognition Based on Ontology and Description Logics
Author :
Xu Chuan-yun ; Yang, Zhang ; Zhang Yang
Author_Institution :
Coll. of Comput. Sci., Chongqing Univ., Chongqing, China
Abstract :
Aimed at the lack of methods to describe image semantics and map low level semantics to high level semantics, Hierarchy Model of Image Semantic is designed to extract image features from inherent information and stratify image semantics according to abstract degree, and Ontology based Hierarchy Model of Image Semantic is produced by applying Ontology with repository and rule base to figure the high level semantics obtained by HMIS, and then Description Logics System for Ontology based Hierarchy Model of Image Semantic is put forward by taking description logics as deduction to produce and manage image semantics, and finally the image semantics recognition system based on OHMIS and DLS-OHMIS is developed to recognize image by semantics.
Keywords :
feature extraction; image recognition; ontologies (artificial intelligence); semantic Web; description logics system; image features extraction; image semantics recognition; ontology; ontology based hierarchy model; Computer science; Context modeling; Educational institutions; Image recognition; Knowledge based systems; Knowledge representation; Logic design; OWL; Ontologies; Semantic Web; Description Logics; Image Semantics Recognition; Ontology;
Conference_Titel :
Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3843-3
Electronic_ISBN :
978-1-4244-5068-8
DOI :
10.1109/MINES.2009.19
