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INST 734
Information Retrieval Systems
Fall 2014
Information Retrieval Softeare

Available Text Retrieval Software

The following software is available for use in this course. Those with links can be downloaded freely and used anywhere. The three you are most likely to want to use are listed first, others are listed in alphabetical order for completeness. Some of these search engines are compared in an October 2007 Technical Report from Universitat Pompeu Fabra in Spain.

The Big Three

A freely available Java IR system, probably the easiest system to get up and running, and the most easily modified. The SOLR extensions to Lucene are well worth getting too.
Indri is optimized for efficiency, and thus is a good choice if you have a large collection and a single processor. It is built on top of the Lemur toolkit for building language modeling systems for information retrieval.
An information retrieval system for the Hadoop MapReduce framework. This is a good choice is you have a very large collection and at least a modest size server cluster. You can buy time from Amazon Web Services if you don't have your own cluster.

The Others

Cheshire 3
Freely available research software implementing a logistic regression model from the University of California at Berkeley. Gettig it working may require some facility with Z39.50.
The next generation search engine from the University of Massachusetts after Indri. Galago si still under development.
Freely available software from the University of Arizona that is designed for efficient indexing (at some cost in retrieval efficiency). Glimpse is not configured for TREC-style evaluations, so that would take some extra work.
Commercial software based on inference networks that has a very flexible query language. We have a research and teaching license for this system from the University of Massachusetts, and still use it occassionally. InQuery includes an X-Windows interface and it is configured to run TREC-style evaluations, but the source code is not available.
A Java toolkit for building IR systems for small applications. The strength of IRF is that the object oriented framework greatly simplifies tasks that require working wiht the source code. Bt because Java is designed for platform independence rather than efficiency, the size of the collections that can be handled is quite limited.
Research software from RMIT University that is designed to maximize storage efficiency on very large collectons. It is available under the GNU public license. We installed this once several years ago and it wasn't too difficult. Click here to download the tarfile.
Public domain vector space research software developed at NIST We regularly use this system for TDT evaluations. PRISE includes a very nice Z39.50 interface, but it takes some facility with that stangard to get the interactive part running. PRISE is configured to run TREC-style evaluations and the source code is available.
A vector space research system that was developed at Cornell University. We have experience using SMART, but we have not used it in many years now. SMART includes only a VT-100 interface, but it is configured to run TREC-style evaluations and the source code is available.
An information retrieval system from the University of Glasgow that is optimized for efficiency. Terrier implements the divergence from randomness framework for ranked retrieval.
An open source IR system that is designed ot run under Linux. Xiapan is a descendent of Omseek, which itself is a decendent of Open Muscat. Xiapan is designed to handle several Western European languages, and thus might be a good choice if you want to work with languages other than English.
Zettair is optimized for both efficiency and modifiability. It therefore occupies a part of the design space between Lucene and Indri.
See also the listing at searchtools.com.
Doug Oard
Last modified: Thu May 15 00:23:00 2014