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

页码：164 / +

页数：2

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