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