iPubmed: Interactive Fuzzy Search on Medline
The goal of the iPumbed project is to make it easier to search for publications on MEDLINE database. It has the following features:
- Instant search on title, author, journal, MeSH heading, affiliation, and abstract
- Error-tolerant search engine
- Updates data from NIH daily
- Includes references supplied by publishers.
Major UCI Contributors:
- Inci Cetindil (Ph.D. Student)
- Jamshid Esmaelnezhad (PhD Student)
- Shengyue Ji (PhD student)
- Taewoo Kim (PhD Student)
- Chen Li (Faculty)
The project was officially ended in 2014.
Publications:
- Efficient Instant-Fuzzy Search with Proximity Ranking
Inci Cetindil, Jamshid Esmaelnezhad, Taewoo Kim, Chen Li
ICDE 2014. (PDF, PPTX) - Supporting Efficient Top-k Queries in Type-Ahead Search
Guoliang Li, Jiannan Wang, Chen Li, Jianhua Feng
SIGIR 2012. (PDF, PPTX) - Analysis of Instant Search Query Logs
Inci Cetindil, Jamshid Esmaelnezhad, Chen Li, David Newman
WebDB 2012. (PDF, Full Version) - Efficient fuzzy full-text type-ahead search
Guoliang Li, Shengyue Ji, Chen Li, Jianhua Feng
VLDB J. 20(4): 617-640 (2011) (PDF) - Interactive and fuzzy search: a dynamic way to explore MEDLINE.
Jiannan Wang, Inci Cetindil, Shengyue Ji, Chen Li, Xiaohui Xie, Guoliang Li, Jianhua Feng
Bioinformatics 2010. (PDF) - Seaform: Search-As-You-Type in Forms
Hao Wu, Guoliang Li, Chen Li, Lizhu Zhou
VLDB 2010 (Demo). (PDF) - Efficient Fuzzy Type-Ahead Search in TASTIER
Guoliang Li, Shengyue Ji, Chen Li, Jiannan Wang, Jianhua Feng
ICDE 2010 (Demo). (PDF) - Efficient Type-Ahead Search on Relational Data: a TASTIER Approach
Guoliang Li, Shengyue Ji, Chen Li, and Jianhua Feng
SIGMOD 2009. (PDF, PPTX) - Automatic URL Completion and Prediction Using Fuzzy Type-Ahead Search
Jiannan Wang, Guoliang Li, Jianhua Feng, Chen Li
SIGIR 2009 (Poster). (PDF) - Efficient Interactive Fuzzy Keyword Search
Shengyue Ji, Guoliang Li, Chen Li, and Jianhua Feng
WWW 2009. (PDF, PPTX)
Acknowledgements: The project is supported by the US NSF award No. IIS-0742960, the NIH grant 1R21LM010143-01A1, a Google Research award, the National Natural Science Foundation of China under Grant No. 60873065, and the National High Technology Development 863 Program of China under Grant No. 2007AA01Z152.