Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics

被引：39

作者：

Barbieri, Davide ^{[1
]}

Braga, Daniele ^{[1
]}

Ceri, Stefano ^{[1
]}

Della Valle, Emanuele ^{[1
]}

Huang, Yi

Tresp, Volker

Rettinger, Achim ^{[2
]}

Wermser, Hendrik ^{[3
]}

机构：

[1] Politecn Milan, Dept Elect & Informat, Milan, Italy

[2] Karlsruhe Inst Technol, Inst Appl Informat & Formal Descript Methods AIFB, Kit, Germany

[3] Tech Univ Munich, D-8000 Munich, Germany

来源：

IEEE INTELLIGENT SYSTEMS | 2010年 / 25卷 / 06期

关键词：

RECOMMENDATION;

D O I：

10.1109/MIS.2010.142

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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. © 2010 IEEE.

引用

页码：32 / 41

页数：10

共 21 条

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[J]. IEEE INTELLIGENT SYSTEMS, 2009, 24 (06) : 83 - 89

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