Semantic Approach for Web-Based Presentation Mining Based Ontology Support

被引：0

作者：

Kasinathan, Vinothini ^{[1
]}

Mustapha, Aida ^{[2
]}

Medi, Imran ^{[1
]}

机构：

[1] Asia Pacific Univ Innovat & Technol, Fac Comp Engn & Technol, Technol Pk Malaysia, Kuala Lumpur 57000, Malaysia

[2] Univ Tun Hussein Onn Malaysia, Fac Comp Sci & Informat Technol, Batu Pahat 86400, Johor, Malaysia

来源：

RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING (SCDM 2018) | 2018年 / 700卷

关键词：

Presentation mining; Ontology; Keyword extraction; Information visualisation;

D O I：

10.1007/978-3-319-72550-5_7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a Presentation Mining system, the purpose of which is the automatic formulation of a visual mind map of keyphrases identified and extracted from a set of presentation slides. The paper empirically demonstrates that the use of ontology increases the effectiveness in evaluating the quality of mind maps generated by the system, which in turn mplies that the users of this system are able to differentiate the keywords or keyphrases unique to the presentation source and those existing in the domain ontology.

引用

页码：64 / 71

页数：8

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