The Problem of Learning Non-taxonomic Relationships of Ontologies from Text

被引：0
|
作者：
Serra, Ivo [1 ]
Girardi, Rosario [1 ]
Novais, Paulo [2 ]
机构：
[1] Univ Fed Maranhao, Dept Comp Sci, Sao Luis, Brazil
[2] Univ Minho, Dept Comp Sci, Braga, Portugal
来源：
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2012年 / 151卷
关键词：
Ontology; Ontology learning; Non-taxonomic relationships; Natural Language Processing;
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：
Manual construction of ontologies by domain experts and knowledge engineers is a costly task. Thus, automatic and/or semi-automatic approaches to their development are needed. Ontology Learning aims at identifying its constituent elements, such as non-taxonomic relationships, from textual information sources. This article presents a discussion of the problem of Learning Non-Taxonomic Relationships of Onto logics and defines its generic process. Three techniques representing the state of the art of Learning Non-Taxonomic Relationships of Ontologies are described and the solutions they provide are discussed along with their advantages and limitations.
引用
收藏
页码：485 / +
页数：3
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