Towards an Approach Based on Ontology for Semantic-Temporal Modeling of Social Network Data

被引：1
|
作者：
Chiha, Rim [1 ,2 ]
Ben Ayed, Mounir [1 ,2 ]
机构：
[1] Univ Sfax, Res Groups Intelligent Machines, Natl Sch Engn ENIS, BP 1173, Sfax 3038, Tunisia
[2] Fac Sci Sfax, Comp Sci & Commun Dept, Route Sokra Km 3-5,BP 1171, Sfax 3000, Tunisia
来源：
INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016) | 2017年 / 557卷
关键词：
Social network; Facebook data; Semantic-temporal modeling; FoaF ontology; REASONER;
D O I：
10.1007/978-3-319-53480-0_70
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recently, social networks have attracted a particular interest in the web, particularly Facebook. Consequently, a large amount of social data is produced. For semantic modeling of such data, several social network ontologies are introduced. The most popular is FoaF (Friend of a Friend) ontology. In our research, we are interested in data generated from Facebook social network. Heretofore, the semantic-temporal modeling of Facebook data is not yet studied. Thus, we propose a semantic modeling approach of social data that allows extending the FoaF ontology with Facebook data and temporal information.
引用
收藏
页码：708 / 717
页数：10
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