From Surf Wiki (app.surf) — the open knowledge base
RetrievalWare
| Field | Value |
|---|---|
| name | RetrievalWare |
| developer | Fast Search & Transfer, Convera, Excalibur Technologies, ConQuest Software, Microsoft |
| latest release version | 8.2 |
| latest release date | |
| operating system | Cross-platform |
| programming language | C, C++, Java |
| genre | 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.{{cite news
History
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.. John McGrath joined the company in 1993 as VP of Sales and Marketing. The company quickly grew revenue from U.S. federal contracts, publishers, and enterprise customers requiring advanced text retrieval accuracy and performance. | archive-url = https://web.archive.org/web/20110604195658/http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA252509&Location=U2&doc=GetTRDoc.pdf | url-status = dead | archive-date = June 4, 2011
On July 6, 1995, ConQuest Software was merged with the NASDAQ company, Excalibur Technologies{{cite press release
Annual revenues for RetrievalWare peaked in 2001 at around $40 million US dollars.{{citation
Use of natural language techniques
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.
In addition, RetrievalWare implemented a form of n-gram search (branded as APRP - Adaptive Pattern Recognition Processing), designed to search over documents with OCR errors. Query terms are divided into sets of 2-grams which are used to locate similarly matching terms from the inverted index. The resulting matches are weighted based on similarly measures and then used to search for documents.
All of these features were available no later than 1993 and ConQuest software has claimed that it was the first commercial text-search system to implement these techniques.{{cite press release
Other notable features
Other notable features of RetrievalWare include distributed search servers, synchronizers for indexing external content management systems and relational databases,{{cite news
Participation in TREC
RetrievalWare participated in the Text REtrieval Conference in 1992 (TREC-1), 1993 (TREC-2), and 1995 (TREC-4).
In TREC-1 and TREC-4, the RetrievalWare runs for manually entered queries produced the best results based on the 11-point averages over all search engines which participated in the ad hoc category where search engines are allowed a single opportunity to process previously unknown queries against an existing database.
References
References
- "Paul Nelson, Innovation Lead, Content Analytics at Accenture Analytics".
- (23 July 2011). "Arden & Ken". comcast.net.
- "Ed Addison, Serial Entrepreneur, Venture Capitalist, Business Executive, Professor".
- [http://www.thefreelibrary.com/Excalibur+Announces+Excalibur+RetrievalWare+6.5+Featuring+...-a019849416 Excalibur Announces Excalibur RetrievalWare 6.5 Featuring RetrievalWare FileRoom] - Contains a description of APRP
- [https://trec.nist.gov/pubs/trec2/papers/txt/25.txt Site Report for the Text REtrieval Conference by ConQuest Software Inc. (TREC2)] - Find the complete proceedings [http://trec.nist.gov/pubs/trec2/t2_proceedings.html here]
- (1998). "Proceedings of the 36th annual meeting on Association for Computational Linguistics -". dl.acm.org.
- [https://trec.nist.gov/pubs/trec1/papers/21.txt Site Report for the Text REtrieval Conference by ConQuest Software Inc. (TREC-1)] - Find the complete proceedings [http://trec.nist.gov/pubs/trec1/t1_proceedings.html here]
- [https://trec.nist.gov/pubs/trec4/papers/excalibur.ps.gz The Excalibur TREC-4 System, Preparations, and Results] - A PDF version of which can be found [https://www.pnelsoncomposer.com/writings/excalibur-trec4.pdf here] {{Webarchive. link. (2010-11-27 and the complete proceedings can be found [http://trec.nist.gov/pubs/trec4/t4_proceedings.html here])
This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.
Ask Mako anything about RetrievalWare — get instant answers, deeper analysis, and related topics.
Research with MakoFree with your Surf account
Create a free account to save articles, ask Mako questions, and organize your research.
Sign up freeThis content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.
Report