We are very glad to announce three releases on fuzzy string matching.

 1. Flamingo Source-Code Package (version 3.0) on approximate string
 matching

         http://flamingo.ics.uci.edu/releases/3.0/

  URLs of earlier DBWorld messages:
      Version 1.0: http://www.cs.wisc.edu/dbworld/messages/2007-04/1176855447.html
      Version 2.0: http://www.cs.wisc.edu/dbworld/messages/2008-10/1224008939.html

  Main changes in this version:

 * Added Compressed Indexers based on the Techniques from:
   "Space-Constrained Gram-Based Indexing for Efficient Approximate
   String Search", by Alexander Behm, Shengyue Ji, Chen Li, and
   Jiaheng Lu, in ICDE 2009

 * Added Module for Top-K Approximate String Search from: "Efficient
   top-k algorithms for fuzzy search in string collections", by Rares
   Vernica, Chen Li, in KEYS 2009: 9-14. (Workshop on Keyword Search
   on Structured Data, collocated with SIGMOD 2009)

 * Added Disk-Based Inverted Index, Disk-Based StringContainer and
   Efficient Search Algorithms using the Disk-Based Components from:
   "Answering Set-Similarity Selection Queries on Large Disk-Resident
   Data Sets", by Alexander Behm, Chen Li, Michael J. Carey, UCI
   Technical Report 2010

 * Added Some Auto-Tuning Features, e.g. Automatic Choice of
   Partitioning Filter

  Main contributors in this new release:
     Alexander Behm, Rares Vernica, Shengyue Ji, and Chen Li,

 2. Source code for Parallel Set-Similarity Joins Using MapReduce

         http://asterix.ics.uci.edu/fuzzyjoin-mapreduce/

   Its techniques are described in the SIGMOD 2010 paper titled:
   "Efficient Parallel Set-Similarity Joins Using MapReduce", by Rares
   Vernica, Michael J. Carey, Chen Li.

 3. Demos on Fuzzy Keyword Search on Spatial Data (Maps)

         http://flamingo.ics.uci.edu/localsearch/fuzzysearch/

    Its techniques are described in the DASFAA 2010 demo paper titled
    "Fuzzy Keyword Search on Spatial Data", by Sattam Alsubaiee and
    Chen Li.

Chen Li
UC Irvine