CoolMind: Collaborative, Ontology-Based Intelligent Knowledge Engineering for e-Society

被引:0
|
作者
Ciuciu, Ioana [1 ]
Parv, Bazil [1 ]
机构
[1] Univ Babes Bolyai, Dept Comp Sci, R-3400 Cluj Napoca, Romania
关键词
Big data; Ontology; Decision support; e-Society; e-Health;
D O I
10.1007/978-3-319-26138-6_48
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper proposes a collaborative and ontology-based approach for knowledge engineering adapted to e-Society applications. The approach aims to provide intuitive user-system and user-content interaction via processing and visualization of Big Data and the resulting information. Moreover, the approach ensures secured access to personal data via semantic interoperability of security policies. The approach considers large size structured and unstructured contents such as multimedia content (videos, images), web content, video games, sensor data, medical health records, medical databases, etc. We will showcase the concept with an (ongoing) medical decision support system (DS-Med) targeted at real end users and real-world test data from around the city of Cluj-Napoca.
引用
收藏
页码:451 / 455
页数:5
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