OntoCBR: Ontology-based CBR in context-aware applications

被引：4
|
作者：
Bai, Yun [1 ,2 ,3 ]
Yang, Juan [2 ,3 ]
Qiu, Yuhui [2 ,3 ]
机构：
[1] SW Univ, Sch Elect & Informat Engn, Chongqing 400715, Peoples R China
[2] Southwestern Univ, Int Software & Software Engn, Chongqing 400715, Peoples R China
[3] Southwestern Univ, Fac Comp & Informat Sci, Chongqing 400715, Peoples R China
来源：
MUE: 2008 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND UBIQUITOUS ENGINEERING, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/MUE.2008.56
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：164 / +
页数：2
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