Uncertainty reasoning for the Semantic Web based on Dempster-Shafer model

被引：0

作者：

Karanikola, Loukia ^{[1
]}

Karali, Isambo ^{[1
]}

McClean, Sally ^{[2
]}

机构：

[1] Univ Athens, Dept Informat & Telecommun, Ilissia Univ Campus, GR-10679 Athens, Greece

[2] Univ Ulster, Sch Comp & Informat Engn, Coleraine, Londonderry, North Ireland

来源：

2013 FOURTH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS (IISA 2013) | 2013年

关键词：

semantic web; uncertainty; vagueness; ontology; reasoning; rules; Dempster Shafer theory;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The Semantic Web vision introduces the concept of machine-oriented web information. This information is characterized by the notions of uncertainty and vagueness. Towards this notions, an ontology model for representing uncertain or vague information, as well as an inference method for reasoning about this kind of information is necessary. Our approach faces the aforementioned issues, i.e. the imperfect ontology model and the reasoning approach. In order to show how our method performs, an implementation is outlined.

引用

页码：147 / 150

页数：4

共 19 条

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[3]

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[4]

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[5]

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[10]

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