CALVADOS: A Tool for the Semantic Analysis and Digestion of Web Contents

被引:1
|
作者
Govind [1 ]
Kumar, Amit [1 ]
Alec, Celine [1 ]
Spaniol, Marc [1 ]
机构
[1] Univ Caen Normandie, Dept Comp Sci, Campus Cote Nacre, F-14032 Caen, France
来源
关键词
Entity-level web analytics; Semantic content digestion; Web semantics; Analytics interface;
D O I
10.1007/978-3-030-32327-1_17
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Web users these days are confronted with an abundance of information. While this is clearly beneficial in general, there is a risk of "information overload". To this end, there is an increasing need of filtering, classifying and/or summarizing Web contents automatically. In order to help consumers in efficiently deriving the semantics from Web contents, we have developed the CALVADOS (Content AnaLytics ViA Digestion Of Semantics) system. To this end, CALVADOS raises contents to the entity-level and digests its inherent semantics. In this demo, we present how entity-level analytics can be employed to automatically classify the main topic of a Web content and reveal the semantic building blocks associated with the corresponding document.
引用
收藏
页码:84 / 89
页数:6
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