Lost in Publications: Improving Information Access with Text Mining
- 講者陸致用 博士 (Earl Stadtman Investigator Head, Text Mining Group; National Center of Biotechnology Information (NCBI); National Library of Medicine (NLM); National Institutes of Health (NIH))
邀請人：何建明 林仲彥 - 時間2013-06-11 (Tue.) 10:30 ~ 12:00
- 地點資訊所新館106演講廳
摘要
The explosion of biomedical information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. But the large body of knowledge—mostly captured as free text in journal articles—and the interdisciplinary nature of biomedical research also presents a grand new challenge: how can scientists and health care professionals find and assimilate all the publications relevant to their research and practice? In this regard, in the first part of the talk, I will present our research on text mining and its application for improved information access for the worldwide scientific community Real-‐world use cases of text mining research in PubMed will be demonstrated as showcases. Next, I will present our effort on computer-‐assisted database curation, with a focus on our recent experience in BioCreative, a community-‐based worldwide challenge event in biomedical text mining. More specifically, I will discuss various issues (e.g. how to identify user needs) that are often overlooked in building text-mining tools that are aimed to provide practical benefits to end users (human curators).
BIO
Dr. Lu is a Stadtman investigator at the National Institutes of Health, where he joined immediately after earning a PhD in Bioinformatics at the University of Colorado School of Medicine. His research group is developing computational methods for analyzing and making sense of natural language data in biomedical literature and clinical text. Several of his recent research has been successfully integrated into and widely used in PubMed and other NCBI databases. Dr. Lu is an Associate Editor for BMC Bioinformatics and serves on the editorial board for the Journal Database. He is also involved in the organization of several international scientific meetings such as BioCreative, a community-‐wide effort for evaluating text-mining systems applied to the biomedical domain. He has authored over 70 publications since 2003 and his work is well cited by peers.