Converting into RDF, and full-text indexing

I’d like to provide a bit more detail regarding two important elements of MESA: the resources available to assist projects in converting their metadata into the MESA-specified RDF, and information on indexing full-text to be included for searching in MESA.

Converting into RDF

In addition to the XSLT example files on the Collex wiki, Jeffrey Witt, editor of the Petrus Plaoul Electronic Critical Edition, one of the MESA partner projects, has created a Ruby script to automate creation of his project’s RDF files. It is tailored to suit the Petrus Plaoul project, but is customizable to other locations and other types of data (particularly TEI). The Ruby script is available at https://bitbucket.org/jeffreycwitt/rdfbuilder/, and Dr. Witt has generously offered to help others customize it – you can contact him at jeffreycwitt@gmail.com.

If you are developing scripts or tools for generating MESA-specified RDF and you would like to share them with other partner projects, please let us know and we will post them on the MESA page of the Collex Wiki.

Indexing Full Text

If you would like to include full-text for any item, to make it available for searching in the MESA interface, you will need to use <collex:text> in your RDF. Either 1) the @rdf:resource attribute may point to a URL to a web-accessible, plain text transcription of the object, or 2) plain text may be included as the content for <collex:text>. The plain-text is only included for indexing purposes. When a record is found via a full-text search, the user will need to follow the link to the source website in order to view the full-text.

It is important to note that <collex:text> may only appear once in an RDF file. We expect that there will be many instances where a single object may have multiple textual instances attached to it, for example, a manuscript with a diplomatic transcription, normalized transcription, and description. In order for all three texts to be available for searching, you would need to create one RDF file for each one. The fields <collex:source_xml> and <collex:source_html> would be used to point to the encoded source for the texts. Although they are not required, we recommend that projects use <dcterms:hasPart> and <dcterms:isPartOf> to link together the various RDF records describing different pieces of a single object.

Please comment here, or contact us, if you have questions relating to RDF generation, full-text indexing, or anything else relating to MESA.

This entry was posted in Uncategorized. Bookmark the permalink.

36 Responses to Converting into RDF, and full-text indexing

  1. Pingback: michael kors bags

  2. Pingback: michael kors outlet

  3. Pingback: mulberry outlet

  4. Pingback: chanel handbags

  5. Pingback: cheap ray ban sunglasses

  6. Pingback: jeremy scott adidas

  7. Pingback: mulberry sale

  8. Pingback: nike france

  9. Pingback: cheap oakley

  10. Pingback: chanel outlet

  11. Pingback: CHEAP LOUIS VUITTON BAGS

  12. Pingback: chaussures christian louboutin

  13. Pingback: Hermes Replica

  14. Pingback: CHEAP PROM DRESSES

  15. Pingback: Cheap Oakley Sunglasses

  16. Pingback: CHEAP SOCCER CLEATS

  17. Pingback: celine outlet

  18. Pingback: Nike Pas Cher

  19. Pingback: christian louboutin shoes

  20. Pingback: CHRISTIAN LOUBOUTIN OUTLET

  21. Pingback: 整形美容

  22. Pingback: Louis Vuitton Replica

  23. Pingback: Discount Iphone 5

  24. Pingback: CHRISTIAN LOUBOUTIN SALE

  25. Pingback: Jimmy Choo Black Leather

  26. Pingback: 群发

  27. Pingback: oakley sunglasses sale

  28. Pingback: nike free run

  29. Pingback: RAY BAN SUNGLASSES SALE

  30. Pingback: louis vuitton pas cher

  31. Pingback: sacs louis vuitton

  32. Pingback: cheap ray ban sunglasses,fake ray ban sunglasses,replica ray ban sunglasses

  33. Pingback: cheap beats by dre

  34. Pingback: Ralph Lauren Polo

  35. Pingback: Louis Vuitton Handbags

  36. Pingback: longchamp bags

Leave a Reply