Knowledge Harvesting for Business Intelligence

被引：0
|
作者：
Ben Mustapha, Nesrine [1 ]
Aufaure, Marie-Aude [1 ]
机构：
[1] Ecole Cent Paris, MAS Lab, Paris, France
来源：
BUSINESS INTELLIGENCE, EBISS 2012 | 2013年 / 138卷
关键词：
ontology; semantics; ontology learning; knowledge engineering; business intelligence; SEMANTIC WEB; DOMAIN ONTOLOGIES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the growth rate of information volume, information access and knowledge management in enterprises has become challenging. This paper aims at describing the importance of semantic technologies (ontologies) and knowledge extraction techniques for knowledge management, search and capture in e-business processes. We will present the state of the art of ontology learning approaches from textual data and web environment and their integration in enterprise systems to perform personalized and incremental knowledge harvesting.
引用
收藏
页码：177 / 207
页数：31
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