Semantic knowledge networks - trustworthy AI for innovative business applications

被引:0
|
作者
Munk, Katharina [1 ]
机构
[1] Klarso GmbH, Schwartzkopff Str 7, D-10115 Berlin, Germany
来源
INFORMATION-WISSENSCHAFT UND PRAXIS | 2022年 / 73卷 / 2-3期
关键词
Artificial intelligence; NLP; Semantics; Semantic network; Language statistics; Knowledge network; Knowledge organization;
D O I
10.1515/iwp-2021-2194
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Semantic software technologies transform large quantities of structured and unstructured data into computer-readable and computer-usable knowledge networks. The creation and maintenance of knowledge networks are achieved through agile interaction between humans and computers. With customized editors, Natural Language Processing, semantic classification and self-learning processes, context and text understanding gradually and increasingly mature. Such knowledge networks deliver explainable and comprehensible results. They are of great value for research and companies in every industry and open the door to innovative applications both within companies and for customers: Examples include editorial systems and product information systems with content and formal support for new digital information services and products, 360 degrees input for business decisions and search and aggregation of semantic connections in existing content.
引用
收藏
页码:97 / 102
页数:6
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