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.


  • Efficient Instant-Fuzzy Search with Proximity Ranking 
    Inci Cetindil, Jamshid Esmaelnezhad, Taewoo Kim, Chen Li 
    ICDE 2014. (PDFPPTX)
  • Supporting Efficient Top-k Queries in Type-Ahead Search 
    Guoliang Li, Jiannan Wang, Chen Li, Jianhua Feng 
    SIGIR 2012. (PDFPPTX)
  • Analysis of Instant Search Query Logs 
    Inci Cetindil, Jamshid Esmaelnezhad, Chen Li, David Newman 
    WebDB 2012. (PDFFull 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. (PDFPPTX)
  • 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. (PDFPPTX

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.