FAST Linked Data
FAST Authority File
Search FAST Linked Data
Mexico
Information about the Authority
| Leader | 00000cz a2200037n 45 0 | ||
|---|---|---|---|
| 001 | fst01211700 | ||
| 003 | OCoLC | ||
| 005 | 20130405150554.0 | ||
| 008 | 060620nn anznnbabn || ana d | ||
| 016 | 7 | ‡a fst01211700 ‡2 OCoLC | |
| 034 | ‡d W1020000 ‡e W1020000 ‡f N0230000 ‡g N0230000 ‡2 geonames | ||
| 040 | ‡a OCoLC ‡b eng ‡c OCoLC ‡f fast | ||
| 043 | ‡a n-mx | ||
| 151 | ‡a Mexico | ||
| 451 | ‡a Meksiko | ||
| 451 | ‡a Stany Zjednoczone Meksyku | ||
| 451 | ‡a Meksyk | ||
| 451 | ‡a Estados Unidos Mexicanos | ||
| 451 | ‡a Meḳsiḳe | ||
| 451 | ‡a Messico | ||
| 451 | ‡a Méjico | ||
| 451 | ‡a República Mexicana | ||
| 451 | ‡a United States of Mexico | ||
| 451 | ‡a United Mexican States | ||
| 670 | ‡a GeoNames ‡b pcl;23°00ʹ00ʺN 102°00ʹ00ʺW | ||
| 688 | ‡a LC (2012) Subject Usage: 33,122 (54,539) | ||
| 688 | ‡a WC (2012) Subject Usage: 343,231 (498,063) | ||
| 751 | 0 | ‡a Mexico ‡0 (DLC)n 81013960 | |
| 751 | 0 | ‡a Mexico ‡0 (uri)http://viaf.org/viaf/154775570 ‡9 Jun2012 |
Different Formats Available
- Record Views
FAST is a project of OCLC Research.
- © 2011-2012 OCLC
- OCLC Privacy Policy
- Available under the OCLC Open Data Commons Attribution (ODC-By) License
Learn more about the FAST project.
The FAST Ontology can be found here.
The most recent update for FAST was 4/15/2013. The FAST database will be updated periodically. Our target is to update FAST at least twice each year.
For comments on FAST as Linked Data contact the FAST Team
FAST Projects
- searchFAST
- A full feature search interface to the FAST database.
- mapFAST
- mapFAST is a Google Maps mashup prototype designed to provide map based access to bibliographic records using FAST geographic and event authorities.
- FAST Converter
- The FAST Converter is a Web interface for the conversion of LCSH headings to FAST headings.
- FAST Linked Data
- FAST as a Linked Data service to interact with the Semantic Web.
- assignFAST
- A Web service that automates the manual selection of FAST Subjects based on autosuggest technology.