Visual OntoBridge: Semi-Automatic Semantic Annotation Software
Abstract
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 service 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.
Cite
Text
Grcar and Mladenic. "Visual OntoBridge: Semi-Automatic Semantic Annotation Software." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2009. doi:10.1007/978-3-642-04174-7_50Markdown
[Grcar and Mladenic. "Visual OntoBridge: Semi-Automatic Semantic Annotation Software." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2009.](https://mlanthology.org/ecmlpkdd/2009/grcar2009ecmlpkdd-visual/) doi:10.1007/978-3-642-04174-7_50BibTeX
@inproceedings{grcar2009ecmlpkdd-visual,
title = {{Visual OntoBridge: Semi-Automatic Semantic Annotation Software}},
author = {Grcar, Miha and Mladenic, Dunja},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2009},
pages = {726-729},
doi = {10.1007/978-3-642-04174-7_50},
url = {https://mlanthology.org/ecmlpkdd/2009/grcar2009ecmlpkdd-visual/}
}