Interactive and fuzzy search: a dynamic way to explore MEDLINE.
BACKGROUND
The MEDLINE database, consisting of over 19 million publication records, is the primary source of information for biomedicine and health questions. Although the database itself has been growing rapidly, the search paradigm of MEDLINE has remained largely unchanged.


RESULTS
Here, we propose a new system for exploring the entire MEDLINE collection, represented by two unique features: (i) interactive: providing instant feedback to users' query letter by letter, and (ii) fuzzy: allowing approximate search. We develop novel index structures and search algorithms to make such a search model possible. We also develop incremental-update techniques to keep the data up to date.


BACKGROUND
Interactive and fuzzy searching algorithms for exploring MEDLINE are implemented in a system called iPubMed, freely accessible over the web at http://ipubmed.ics.uci.edu/ and http://tastier.cs.tsinghua.edu.cn/ipubmed.
Wang
Jiannan
J
Department of Computer Science, Tsinghua University, Beijing, China.
Cetindil
Inci
I
Ji
Shengyue
S
Li
Chen
C
Xie
Xiaohui
X
Li
Guoliang
G
Feng
Jianhua
J
D000043:Abstracting and Indexing; D000465:Algorithms; D016247:Information Storage and Retrieval; D020407:Internet; D016239:MEDLINE; D039781:PubMed; D012984:Software; D014481:United States