Semantic Indexing of a Competence mAP to Support Scientific Collaboration in a Research Community
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.
Cite
Text
Velardi et al. "Semantic Indexing of a Competence mAP to Support Scientific Collaboration in a Research Community." International Joint Conference on Artificial Intelligence, 2007.Markdown
[Velardi et al. "Semantic Indexing of a Competence mAP to Support Scientific Collaboration in a Research Community." International Joint Conference on Artificial Intelligence, 2007.](https://mlanthology.org/ijcai/2007/velardi2007ijcai-semantic/)BibTeX
@inproceedings{velardi2007ijcai-semantic,
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 = {International Joint Conference on Artificial Intelligence},
year = {2007},
pages = {2897-2902},
url = {https://mlanthology.org/ijcai/2007/velardi2007ijcai-semantic/}
}