Semantic Indexing of a Competence Map to Support Scientific Collaboration in a Research Community
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2897-2901.
Abstract
This paper describes a methodology to semi-automatically acquire a taxonomy of terms and term definitions in a specific research domain. The taxonomy is then used for semantic search and indexing of a knowledge base of scientific competences, called Knowledge Map. The KMap is a system to support research collaborations and sharing of results within and beyond a European Network of Excellence. The methodology is general and can be applied to model any web community - starting from the documents shared and exchanged among the community members - and to use this model for improving accessibility of data and knowledge repositories.
@inproceedings{ijcai2007p466,
title = {Semantic Indexing of a Competence Map to Support Scientific Collaboration in a Research Community},
author = {Velardi, Paola and Navigli, Roberto and Petit, Michaël},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2897--2901},
year = {2007},
url = {https://ijcai.org/proceedings/2007/466},
}
TY - CPAPER TI - Semantic Indexing of a Competence Map to Support Scientific Collaboration in a Research Community AU - Velardi, Paola AU - Navigli, Roberto AU - Petit, Michaël T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2897 EP - 2901 UR - https://ijcai.org/proceedings/2007/466 ER -Copied
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