Publication Details

Advanced Features of Collaborative Semantic Annotators - the 4A System

SMRŽ, P.; DYTRYCH, J. Advanced Features of Collaborative Semantic Annotators - the 4A System. In Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference. Palo Alto, California: American Association for Artificial Intelligence, 2015. p. 233-236. ISBN: 978-1-57735-730-8.
Czech title
Pokročilé rysy kolaborativních sémantických anotátorů - systém 4A
Type
conference paper
Language
English
Authors
Keywords

text annotation; named entity recognition, semantic tagging

Abstract

This paper deals with collaborative knowledge engineering, particularly focusing on collective editing and semantic annotation of hypertext. It discusses state-of-the-art functions of the 4A (Annotations Anywhere, Annotations Anytime) system that has been recently extended to be applicable in a broad range of annotation contexts. We introduce advanced features and recent improvements that make the tool unique in many aspects. A special attention is paid to the social way of semantic tagging -- complex annotations can be created by a single click and immediately shared with other interested users or reused by external systems. We also compare the 4A system to similar software solutions and show their similarities and differences.

Published
2015
Pages
233–236
Proceedings
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference
ISBN
978-1-57735-730-8
Publisher
American Association for Artificial Intelligence
Place
Palo Alto, California
EID Scopus
BibTeX
@inproceedings{BUT119879,
  author="Pavel {Smrž} and Jaroslav {Dytrych}",
  title="Advanced Features of Collaborative Semantic Annotators - the 4A System",
  booktitle="Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference",
  year="2015",
  pages="233--236",
  publisher="American Association for Artificial Intelligence",
  address="Palo Alto, California",
  isbn="978-1-57735-730-8",
  url="https://www.fit.vut.cz/research/publication/10921/"
}
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