Ontology-Based Domain Diversity Profiling of User Comments

被引:2
|
作者
Abolkasim, Entisar [1 ]
Lau, Lydia [1 ]
Mitrovic, Antonija [2 ]
Dimitrova, Vania [1 ]
机构
[1] Univ Leeds, Sch Comp, Leeds, W Yorkshire, England
[2] Univ Canterbury, Intelligent Comp Tutoring Grp, Christchurch, New Zealand
来源
关键词
Diversity analytics; Ontology; Semantic techniques; Video-based learning; Active video watching; Soft skills learning; FRAMEWORK;
D O I
10.1007/978-3-319-93846-2_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Diversity has been the subject of study in various disciplines from biology to social science and computing. Respecting and utilising the diversity of the population is increasingly important to broadening knowledge. This paper describes a pipeline for diversity profiling of a pool of text in order to understand its coverage of an underpinning domain. The application is illustrated by using a domain ontology on presentation skills in a case study with 38 postgraduates who made comments while learning pitch presentations with the Active Video Watching system (AVW-Space). The outcome shows different patterns of coverage on the domain by the comments in each of the eight videos.
引用
收藏
页码:3 / 8
页数:6
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