Knowledge Visualization in Biomedical Literatures

• Main Authors: Yung-ta Chang, 張永達
• Other Authors: Jan-Min Wong
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/31957003759605210402

碩士 === 國立臺灣大學 === 醫學工程學研究所 === 93 === Under the influence of developed information technology in these years, biomedical circles have numerous e-documents published in various periodicals everyday; however, it is very importance but difficult to find out specific and meaningful information to 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 manpower, material and time indirectly; thus how to extract relevant knowledge from documents will certainly become the key of the problem. But what document shall begin with? How to process data effectively? How to present after process? For the process of biomedical literatures and extract of knowledge, the traditional document mining technology is no longer sufficient. Therefore, this research will introduce the concept of "Gene Ontology" to extract, process, and present the knowledge of describing gene function in biomedical literatures. This research is divided to several stages: first is to process the original information of Gene Ontology, and then is to extract and present relevant information from biomedical literatures, and design a graphic user interface system – OntoMarker to enable researchers to extract the important information that existed in single literature or certain topic through easy operation. Finally is to verify the system by the medical literatures relevant to CARD15/NOD2 gene in PubMed/MEDLINE. The verified results are true and feasible, and helpful to researchers.