Semantic Knowledge Graphs for the News: A Review

被引:14
|
作者
Opdahl, Andreas L. [1 ]
Al-Moslmi, Tareq
Dang-Nguyen, Duc-Tien [1 ]
Ocana, Marc Gallofre [1 ]
Tessem, Bjornar [1 ]
Veres, Csaba [1 ]
机构
[1] Univ Bergen, Dept Informat Sci & Media Studies, POB 7802, N-5020 Bergen, Norway
关键词
News; journalism; news production; news distribution; news consumption; knowledge graphs; ontology; semantic technologies; Linked Data; Linked Open Data; Semantic Web; literature review; WEB; LANGUAGE; SYSTEM; ARCHITECTURE; ANNOTATION; EXTRACTION; GENERATE; INTERNET; MACHINE; DESIGN;
D O I
10.1145/3543508
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
ICT platforms for news production, distribution, and consumption must exploit the ever-growing availability of digital data. These data originate from different sources and in different formats; they arrive at different velocities and in different volumes. Semantic knowledge graphs (KGs) is an established technique for integrating such heterogeneous information. It is therefore well-aligned with the needs of news producers and distributors, and it is likely to become increasingly important for the news industry. This article reviews the research on using semantic knowledge graphs for production, distribution, and consumption of news. The purpose is to present an overview of the field; to investigate what it means; and to suggest opportunities and needs for further research and development.
引用
收藏
页数:38
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