DocumentCode
3338879
Title
OntoCBR: Ontology-Based CBR in Context-Aware Applications
Author
Bai, Yun ; Yang, Juan ; Qiu, Yuhui
Author_Institution
Sch. of Electron. & Inf. Eng., Southwest Univ., Chongqing
fYear
2008
fDate
24-26 April 2008
Firstpage
164
Lastpage
169
Abstract
Current context-aware applications are widely using ontology to describe context. However, most rules of the ontology-based reasoning in them are pre-defined or user-defined. They are short of flexibility to cope with the variant requirements. This paper proposes a ontology-based case-based reasoning model named OntoCBR. OntoCBR compares the similarity between contexts. We also provide the way to get the similarity of the ontology-based contexts.
Keywords
case-based reasoning; mobile computing; ontologies (artificial intelligence); OntoCBR; context-aware application; ontology-based case-based reasoning model; Application software; Context modeling; Context-aware services; Graphical models; Information science; Laboratories; Object oriented modeling; Ontologies; Pervasive computing; Software engineering; CBR; context similarity; context-aware application; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Ubiquitous Engineering, 2008. MUE 2008. International Conference on
Conference_Location
Busan
Print_ISBN
978-0-7695-3134-2
Type
conf
DOI
10.1109/MUE.2008.56
Filename
4505714
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