A corpus-driven approach for design, evolution and alignment of ontologies

被引：3
|
作者：
Waechter, Thomas [1 ]
Wobst, Andre [1 ]
Schroeder, Michael [1 ]
Tan, He [2 ]
Lambrix, Patrick [2 ]
机构：
[1] TU Dresden Biotechnol Zentrum, D-01062 Dresden, Germany
[2] Linkoping Univ, S-58183 Linkoping, Sweden
来源：
PROCEEDINGS OF THE 2006 WINTER SIMULATION CONFERENCE, VOLS 1-5 | 2006年
基金：
瑞典研究理事会;
关键词：
D O I：
10.1109/WSC.2006.322932
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Bio-ontologies are hierarchical vocabularies, which are used to annotate other data sources such as sequence and structure databases. With the wide use of ontologies their integration, design, and evolution becomes an important problem. We show how textmining on relevant text corpora can be used to identify matching ontology terms of two separate ontologies and to propose new ontology terms for a given term. We evaluate these approaches on the GeneOntology.
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页码：1595 / +
页数：3
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