Information Retrieval in Literature by Biomedical Knowledge Database

碩士 === 國立臺灣大學 === 醫學工程學研究所 === 100 === Under the influence of the rapid development of biomedical research and information technology in these years, biomedical circles have numerous e-documents published in various periodicals everyday; however, it is very important but difficult to find specifi...

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Bibliographic Details
Main Authors: Wun-Long Hong, 洪文龍
Other Authors: 翁昭旼
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/01525541709874336405
Description
Summary:碩士 === 國立臺灣大學 === 醫學工程學研究所 === 100 === Under the influence of the rapid development of biomedical research and information technology in these years, biomedical circles have numerous e-documents published in various periodicals everyday; however, it is very important but difficult to find specific and meaningful information for researchers from numerous and complicated biomedical literatures. Therefore, if the processing time of these literatures by the researchers could be reduced, it is to save human resources, material and time indirectly; thus how to extract relevant knowledge from documents will certainly become the key of the problem. For knowledge and information retrieval process in Biomedical literature, If we make use of traditional data mining techniques without the help of expert knowledge to extract the information in the biomedical literature. It may lead to the study can not be effectively run. Therefore, this study will be imported experts pooled biomedical knowledge database includes the Gene Ontology database and BIOBASE TRANSPATH database. we retrieve relevant information from the biomedical literature by the auxiliary of biomedical knowledge database. Then we process and design a graphical user interface system present these relevant information.This system can help researchers to extract the important information in single literatures or certain topic through easy operation. Finally we verify this system by the biomedical literatures relevant to VEGF gene in PubMed/MEDLINE and VEGF interaction network. The verified results are true and feasible,and helpful to researchers.