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RetrievalWare

RetrievalWare
Developer(s) Fast Search & Transfer, Convera, Excalibur Technologies, ConQuest Software, Microsoft
Stable release
8.2 / October 13, 2006 (2006-10-13)
Written in C, C++, Java
Operating system Cross-platform
Type Search and Index

RetrievalWare is an enterprise search engine emphasizing natural language processing and semantic networks which was commercially available from 1992 to 2007 and is especially known for its use by government intelligence agencies.

RetrievalWare was initially created by Paul Nelson, Kenneth Clark, and Edwin Addison as part of ConQuest Software. Development began in 1989, but the software was not commercially available on a wide scale until 1992. Early funding was provided by Rome Laboratory via a Small Business Innovation Research grant.

On July 6, 1995, ConQuest Software was merged with the NASDAQ company, Excalibur Technologies and the product was rebranded as RetrievalWare. On December 21, 2000, Excalibur Technologies was combined with Intel Corporation's Interactive Media Services division to form the Convera Corporation. Finally, on April 9, 2007, the RetrievalWare software and business was purchased by Fast Search & Transfer at which point the product was officially retired.Microsoft Corporation continues to maintain the product for its existing customer base.

Annual revenues for RetrievalWare peaked in 2001 at around $40 million US dollars.

RetrievalWare is a relevancy ranking text search system with processing enhancements drawn from the fields of natural language processing (NLP) and semantic networks. NLP algorithms include dictionary-based stemming (also known as lemmatisation) and dictionary-based phrase identification. Semantic networks are used by RetrievalWare to expand the query words entered by the user to related terms with terms weights determined by the distance from the user's original terms. In addition to automatic expansion, a feedback-mode whereby users could choose the meaning of the word before performing the expansion was available. The first semantic networks were built using WordNet.


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