Lightweight predicate extraction for patient-level cancer information and ontology development

Lightweight predicate extraction for patient-level cancer information and ontology development

Abstract Background Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the development process of ontologies. We focus towards the development of ontolo...

Full description

Bibliographic Details
Main Authors: Muhammad Amith, Hsing-Yi Song, Yaoyun Zhang, Hua Xu, Cui Tao
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Semi-automated ontology development
Public health
Natural language processing
Open information extraction
Ontology learning
Online Access:http://link.springer.com/article/10.1186/s12911-017-0465-x

Internet

http://link.springer.com/article/10.1186/s12911-017-0465-x

Similar Items