An Information Retrieval System for Fast Exploration of Proprietary Experimental Data via Searching and Mining the Biomedical Entities in Related Public Literatures

• Main Authors: Shang-Wei Hsieh, 謝尚偉
• Other Authors: 黃乾綱
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/48936134422468587956

碩士 === 國立臺灣大學 === 工程科學及海洋工程學研究所 === 102 === In the beginning of biomedical research works, mapping researchers’ proprietary experiment data to public research literatures is an important work. In this paper, a search engine is proposed to retrieve large scale biomedical literatures which are collected from PubMed in an efficient way. Moreover, we apply a name entity recognition tool which is a kind of text-mining technique to extract protein names from the biomedical literatures. Afterward, the protein names are normalized to IDs which can be linked to the researchers’ proprietary experiment databases and using web techniques automatically plot the charts for the relevant proprietary data; through these processes, the researchers can efficiently get the relevance between their proprietary data and the public papers also can help them to find more available research works.