HUMAN COMPUTER COLLABORATION TO IMPROVE ANNOTATIONS IN SEMANTIC WIKIS

Anne Boyer, Armelle Brun, Hala Skaf-Molli

2010

Abstract

Semantic wikis are promising tools for producing structured and unstructured data. However, they suffer from a lack of user provided semantic annotations, resulting in a loss of efficiency, despite of their high potential. We propose a system that suggests automatically computed annotations to users in peer to peer semantic wikis. Users only have to validate, complete, modify, refuse or ignore these suggested annotations. Therefore, the annotation task becomes easier, more users will provide annotations. The system is based on collaborative filtering recommender systems, it does not exploit the content of the pages but the usage made on these pages by the users. The resulting semantic wikis contain several kinds of annotations with different status: human, computer or human-computed provided annotations.

Paper Citation

in Harvard Style

Boyer A., Brun A. and Skaf-Molli H. (2010). HUMAN COMPUTER COLLABORATION TO IMPROVE ANNOTATIONS IN SEMANTIC WIKIS . In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST, ISBN 978-989-674-025-2, pages 89-94. DOI: 10.5220/0002797900890094

in Bibtex Style

@conference{webist10,
author={Anne Boyer and Armelle Brun and Hala Skaf-Molli},
title={HUMAN COMPUTER COLLABORATION TO IMPROVE ANNOTATIONS IN SEMANTIC WIKIS},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST,},
year={2010},
pages={89-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002797900890094},
isbn={978-989-674-025-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST,
TI - HUMAN COMPUTER COLLABORATION TO IMPROVE ANNOTATIONS IN SEMANTIC WIKIS
SN - 978-989-674-025-2
AU - Boyer A.
AU - Brun A.
AU - Skaf-Molli H.
PY - 2010
SP - 89
EP - 94
DO - 10.5220/0002797900890094