Web Mining Techniques Applicable for Cultural Heritage Observations

被引：0

作者：

Mitreva, Emanuela ^{[1
]}

Nikolova, Alexandra ^{[2
]}

Georgiev, Vladimir ^{[3
]}

机构：

[1] Sofia Univ St Kliment Ohridski, Sofia, Bulgaria

[2] Bulgarian Acad Sci, Inst Math & Informat, Sofia, Bulgaria

[3] Amer Univ Bulgaria, Dept Comp Sci, Blagoevgrad, Bulgaria

来源：

DIGITAL PRESENTATION AND PRESERVATION OF CULTURAL AND SCIENTIFIC HERITAGE | 2021年 / 11卷

关键词：

Data Mining; Recommendation Systems; Cultural Heritage; Data Collection;

D O I：

暂无

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

The rapid digitalization in the cultural domain generated enormous amounts of data. But that data is not personalized or processed, thus the benefit for different users is limited, due to the variety of users - people learn through different methods. However if techniques used in the last decade to personalize web content are applied to cultural content more users could easily absorb and process the cultural heritage knowledge. Also techniques could be applied to cluster and extract useful knowledge.

引用

页码：253 / 259

页数：7

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