Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics

Barbieri Davide; Braga Daniele; Ceri Stefano; Valle Emanuele Della; Huang Yi; Tresp Volker; Rettinger Achim; Wermser Hendrik

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Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics

机译：语义社交媒体分析的演绎和归纳流推理

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摘要

A combined approach of deductive and inductive reasoning can leverage the clear separation between the evolving (streaming) and static parts of online knowledge at conceptual and technological levels.

机译：演绎推理和归纳推理的组合方法可以在概念和技术水平上利用在线知识的不断发展（流动）和静态部分之间的清晰区分。

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来源
《Intelligent Systems, IEEE》 |2010年第6期|p.32-41|共10页
作者
Barbieri Davide; Braga Daniele; Ceri Stefano; Valle Emanuele Della; Huang Yi; Tresp Volker; Rettinger Achim; Wermser Hendrik;
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作者单位

Polytechnic of Milan;

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原文格式 PDF
正文语种 eng
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关键词
C-SPARQL; RDF streams; SPARQL; deductive reasoning; inductive reasoning; online learning; social media analytics; stream reasoning;

机译：C-SPARQL;RDF流;SPARQL;演绎推理;归纳推理;在线学习;社交媒体分析;流推理;
入库时间 2022-08-18 01:27:56

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Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics

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