Visual OntoBridge: Semi-automatic Semantic Annotation Software

被引：0

作者：

Grcar, Miha ^{[1
]}

Mladenic, Dunja ^{[1
]}

机构：

[1] Jozef Stefan Inst, Dept Knowledge Technol, Ljubljana 1000, Slovenia

来源：

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II | 2009年 / 5782卷

关键词：

annotation; ontologies; graphs; machine learning; text mining; PageRank; Visual OntoBridge;

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：

Machine learning methods have been successfully used for data labeling, also referred to as data annotation, either in semi-automatic or fully automatic way. We present a system for semi-automatic annotation of Web set-vice schemas and other resources with the motivation to support efficient browse and search through those resources and to enable efficient composition and execution of Web services. The presented system, Visual OntoBridge (VOB), provides a graphical user interface and employs a set of machine learning algorithms to support the user in the annotation task.

引用

页码：726 / 729

页数：4