Using Domain Specific Generated Rules for Automatic Ontology Population

被引：0
|
作者：
Faria, Carla [1 ]
Girardi, Rosario [1 ]
Novais, Paulo [2 ]
机构：
[1] Univ Fed Maranhao, Dept Comp Sci, Sao Luis, Maranhao, Brazil
[2] Univ Minho, Dept Comp Sci, P-4719 Braga, Portugal
来源：
2012 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA) | 2012年
关键词：
ontologies; ontology population; natural language processing; information extraction; knowledge engineering;
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：
This article proposes a process for automatic population of ontologies from text that applies natural language processing and information extraction techniques to acquire and classify ontology instances. The work is part of HERMES, an FCT/CAPES research project looking for techniques and tools for automating the process of ontology learning and population. Two experiments using a legal and a tourism corpora were conducted in order to evaluate it. The results indicate that our approach can extract and classify instances with high effectiveness with the additional advantage of domain independence.
引用
收藏
页码：297 / 302
页数：6
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