Concept-based biomedical text retrieval

Authors:
Ming Zhong;Xiangji Huang
Affiliations:
York University, Toronto, Canada;York University, Toronto, Canada
Venue:
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2006

Citing 0
Cited 11

Knowledge-intensive conceptual retrieval and passage extraction of biomedical literature

SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A system for finding biological entities that satisfy certain conditions from texts

Proceedings of the 17th ACM conference on Information and knowledge management
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval

Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Context-based online medical terminology navigation

Expert Systems with Applications: An International Journal
Passage extraction and result combination for genomics information retrieval

Journal of Intelligent Information Systems
A dynamic window based passage extraction algorithm for genomics information retrieval

ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Genomics information retrieval using a Bayesian model for learning and re-ranking

Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Medical query generation by term-category correlation

Information Processing and Management: an International Journal
Incorporating rich features to boost information retrieval performance: A SVM-regression based re-ranking approach

Expert Systems with Applications: An International Journal
Inferring conceptual relationships to improve medical records search

Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Semantic concept-enriched dependence model for medical information retrieval

Journal of Biomedical Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

One challenging problem for biomedical text retrieval is to find accurate synonyms or name variants for biomedical entities. In this paper, we propose a new concept-based approach to tackle this problem. In this approach, a set of concepts instead of keywords will be extracted from a query first. Then these concepts will be used for retrieval purpose. The experiment results show that the proposed approach can boost the retrieval performance and it generates very good results on 2005 TREC Genomics data sets.