TOWARDS ON-DEMAND BIOMEDICAL KNOWLEDGE EXTRACTION
Vincenzo Lanza, M. Ignazia Cascio, Chun-Hsi Huang
2008
Abstract
This paper outlines a UMLS-compatible distributed genomic semantic network. The system aims at providing cooperative reasoning on distributed genomic information, complying with the UMLS concept representation, from distributed repositories. The distributed semantic network has currently incorporated most of the 871,584 concepts (named by 2.1 million terms) of the 2002 version UMLS Metathesaurus, with inter-concept relationships across multiple vocabularies and concept categorization supported. Modern information and compute infrastructure is incorporated to allow seamless access to geographically dispersed users.
DownloadPaper Citation
in Harvard Style
Lanza V., Ignazia Cascio M. and Huang C. (2008). TOWARDS ON-DEMAND BIOMEDICAL KNOWLEDGE EXTRACTION . In Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 102-109. DOI: 10.5220/0001043701020109
in Bibtex Style
@conference{healthinf08,
author={Vincenzo Lanza and M. Ignazia Cascio and Chun-Hsi Huang},
title={TOWARDS ON-DEMAND BIOMEDICAL KNOWLEDGE EXTRACTION},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={102-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001043701020109},
isbn={978-989-8111-16-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)
TI - TOWARDS ON-DEMAND BIOMEDICAL KNOWLEDGE EXTRACTION
SN - 978-989-8111-16-6
AU - Lanza V.
AU - Ignazia Cascio M.
AU - Huang C.
PY - 2008
SP - 102
EP - 109
DO - 10.5220/0001043701020109