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https://findcontext.org

Welcome to this Federated Wiki. Site From this page you can find who we are and what we do. New sites provide this information and then claim the site as their own. You will need your own site to participate. Pages where we do and share. Pages with info aggregated from related sites. You can edit your copy of these pages. Press to add more writing spaces. Read How to Wiki. For more ideas. Follow Recent Changes. Site Owned by: Ryan Shaw.

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findcontext.org

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Metadata Research Program: Prototypes

http://findcontext.org/prototypesI.html

Entry Vocabulary Module Prototypes. Page 1 of 2. A demonstration of the seamless library gateway to information database. S project. Experience improved access to unfamiliar metadata, such as that used by specialized text and numeric databases, by exploring the eight prototype Entry Vocabulary Modules (EVMs) that follow. Use Entry Vocabulary Modules #1 and #2 to. Convert a multilingual, natural language query to Library of Congress subject headings (LCSH) About LCSH. Limit results to top:.

2

Metadata Research Program: Tides Project Home Page

http://findcontext.org/GrantSupported/tides.html

Translingual Information Management Using Domain Ontologies. This project builds directly on the Unfamiliar Metadata project and on the CHESHIRE II retrieval system and is part of the Metadata Research Program. Ideas, impact and schedule.

3

Metadata Research Program: Seamless Project Home Page

http://findcontext.org/GrantSupported/seamless.html

Seamless Searching of Numeric and Textual Resources. Fred Gey, Ray Larson. This three year project aims to demonstrate improved access to written material and numerical data on the same topic when searching two very different kinds of databases (books, articles, and their bibliographic records) and numerical data (socio-economic databases). The IMLS project builds directly on the Search Support for Unfamiliar Metadata Vocabularies funded by the Defense Advanced Research Projects Agency.

4

Metadata Research Program: Unfamiliar Metadata Project Home Page

http://findcontext.org/GrantSupported/unfamiliar.html

DARPA Unfamiliar Metadata Project. Fred Gey, Ray Larson. Searching is likely to be effective and efficient only when the searcher is familiar with the classification, categorizing, and indexing schemes ("metadata vocabularies") being searched. The rapid increase in the number of databases that can be accessed over the Internet means that searches will be increasingly require use of indexes and classification schemes that are unfamiliar to person searching. This project builds directly on several years re...

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Metadata Research Program Home Page

http://findcontext.org/papers/papers_bydate.html

Michael Buckland, Aitao Chen, Fredric C. Gey, and Ray R. Larson. Search across Different Media: Numeric Data Sets and Text Files. Information Technology and Libraries. 25, No. 4, (December 2006): 181-189. pdf. Aitao Chen and Fredric C. Gey. Multilingual Information Retrieval Using Machine Translation, Relevance Feedback and Decompounding In:. Volume 7, Issue 1-2, January - April 2004. pp. 149-182. Proceedings of the Thirty-Seventh Annual Hawaii International Conference on System Sciences. Ray R Larson an...

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findcontext.org

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