Journal article
A new method for mining biomedical knowledge using biomedical ontology
Wuhan University journal of natural sciences, v 14(2)
2009
Abstract
In order to solve the problem of mining biomedical knowledge, a biomedical semantic-based knowledge discovery method (Bio-SKDM) is proposed. Using the semantic types and semantic relations of the biomedical concepts, Bio-SKDM can identify the relevant concepts collected from Medline and generate the novel hypothesis between these concepts. The experiment result shows that compared with ARROWSMITH and LITLINKER, Bio-SKDM generates less but more relevant novel hypotheses and requires less human intervention in the discovery procedure.
Metrics
13 Record Views
2 citations in Scopus
Details
- Title
- A new method for mining biomedical knowledge using biomedical ontology
- Creators
- Guangrong Li - Hunan UniversityChuanhe Huang - Wuhan UniversityXiaodan Zhang - Drexel UniversityXuheng Xu - Drexel UniversityXiaohua Hu - Drexel UniversityXiaodong Xu - Microbiology and Immunology
- Publication Details
- Wuhan University journal of natural sciences, v 14(2)
- Publisher
- Wuhan University
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science; Microbiology and Immunology
- Scopus ID
- 2-s2.0-62249117100
- Other Identifier
- 991019173529004721