A Query-Based Medical Information Summarization System Using Ontology Knowledge

Authors:
Ping Chen;Rakesh Verma
Affiliations:
University of Houston-Downtown, USA;University of Houston, USA
Venue:
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Year:
2006

Citing 0
Cited 3

Ontology driven semantic profiling and retrieval in medical information systems

Web Semantics: Science, Services and Agents on the World Wide Web
A new method for generating the chinese news summary based on fuzzy reasoning and domain ontology

ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Multi-document summarization based on the Yago ontology

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

As huge amounts of knowledge are created rapidly, effective information access becomes an important issue. Especially for critical domains, such as medical and financial areas, efficient retrieval of concise and relevant information is highly desired. In this paper we propose a new user query based text summarization technique that makes use of Unified Medical Language System, an ontology knowledge source from National Library of Medicine. We compare our method with keyword-only approach, and our ontologybased method performs clearly better. Our method also shows potential to be used in other information retrieval areas.