Ontology-Based Conceptualisation of Text Mining Practice Areas for Education

被引:1
|
作者
Husakova, Martina [1 ]
机构
[1] Univ Hradec Kralove, Fac Informat & Management, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic
关键词
Conceptualisation; Text mining; OWL ontology; Education;
D O I
10.1007/978-3-030-28374-2_46
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Text mining is highly multi-disciplinary field including various techniques of text analysis. These techniques are used for uncovering hidden information and knowledge in semi-structured and non-structured texts. Text mining concepts are spread among different, but related practice areas. It is often difficult to receive fast insight into this amount of concepts for a nonprofessional, e.g. for a student. The paper presents the OWL ontology-based prototype which should ease education and learning of facts which are used in the text mining domain. It is mainly aimed to the university students studying text mining at the introductory level. It can also be used as a formal vocabulary of text mining concepts for understanding of methods, techniques, concepts and relations between them by machines.
引用
收藏
页码:533 / 542
页数:10
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