1. Batch-conversion of Non-standard Multiscript Records by XSLT Lucas Mak Metadata and Catalog Librarian Michigan State University Catalog Management Interest Group, ALA Midwinter 2011, Jan. 8, 2011, San Diego CA

2. Agenda Background – Structure of multiscript records Model A vs. Model B – Using z39.50 for cataloging Multiscript records retrieved through z39.50 – Coding issues – Problems caused by non-standard multiscript records Solutions – Design of XSLT Processing logic Factors affecting the design Limitations & unintended consequence

3. Structure of Multiscript Records Multiscript records – For recording data in multiple scripts in MARC records – One script may be considered the primary script of the data content of the record, even though other scripts are also used for data content – Two models Model A: Vernacular & Transliteration Model B: Simple Multiscript Records

4. Structure of Multiscript Records Model A: Vernacular & Transliteration – The regular fields may contain data in different scripts and in the vernacular or transliteration of the data. Fields 880 are used when data needs to be duplicated to express it in both the original vernacular script and transliterated into one or more scripts – Model A data in the regular fields is linked to the data in 880 fields by a subfield $6 that occurs in both of the associated fields $6 [linking tag]-[occurrence number]/[script identification code]/[field orientation code] * MARC21 Bibliographic Appx. D

5. Structure of Multiscript Records Model A: Vernacular & Transliteration Linking Tag Occurrence Number Script Identification Code Field Orientation Code

6. Structure of Multiscript Records Model A: Vernacular & Transliteration Linking Tag Occurrence Number

7. CJK Record according to Model A Specifications

8. Structure of Multiscript Records Model B: Simple Multiscript Records – All data is contained in regular fields and script varies depending on the requirements of the data – Repeatability specifications of all fields should be followed – Although the Model B record may contain transliterated data, Model A is preferred if the same data is recorded in both the original vernacular script and transliteration – Field 880 is not used * MARC21 Bibliographic Appx. D

9. CJK Record according to Model B Specifications Item in Chinese. Cataloging language in English

10. Structure of Multiscript Records Field 066 (Character Sets Present) – To indicate the MARC-8 character sets other than the default sets that are invoked in the record MARC-8 vs. Unicode Environment MARC-8Unicode MARC Field 066RequiredN/A Script Identification Code RequiredN/A Field Orientation Code Required

11. z39.50 for Cataloging SkyRiver – MSU switched to SkyRiver in Oct 2009 – Ways to expand the pool of re-usable bibliographic records z39.50 function in Innovative Millennium (day-to-day cataloging) MarcEdit z39.50 client (HathiTrust record load)

12. z39.50 search in Millennium

13. z39.50 search in Millennium (Record retrieved for Editing)

14. HathiTrust Data Availability

15. MarcEdit z39.50 Client (HathiTrust) Batch search against Univ. of Michigan Catalog using UM record identifier

16. U of M Catalog MSU Catalog Record Dump HathiTrust Record Load Workflow Request Retrieve

17. Non-standard Multiscript Records from z39.50 Sample Non-standard CJK Record Retrieved by MSU Millennium z39.50 Client

18. Same Record in Source Library Catalog (Staff View)

19. HathiTrust Record Retrieved by MarcEdit z39.50 Client* * As of Dec. 10, 2010, Univ. of Michigan has rebuilt 880 fields on their z39.50 serving records Non-standard Multiscript Records from z39.50

20. Same HathiTrust Record in Univ. of Michigan Catalog (Staff View)

21. Coding Issues Non-standard Coding Field-pairing – Vernacular data in regular field No linking tag in subfield $6 No script identification code in subfield $6 (may be due to Unicode environment) Standard Model A Coding Field-pairing – Transliteration in regular field – Vernacular data in 880 field Linking tag – Tag number of an associated field Script identification code* – $1 => CJK script * Applicable to MARC-8 encoded records

22. Coding Issues Non-standard Coding No field orientation code in subfield $6 Standard Model A Coding Field orientation code – /r

23. Coding Issues Non-standard Coding Practice Repeat non-repeatable fields (245, 250) Duplication of data in both vernacular and transliteration Model B Guidelines Repeatability specifications of all fields should be followed Model A is preferred if the same data is recorded in both the original vernacular script and transliteration

24. Problems Caused by Non-standard Multiscript Records Irregular/Incorrect field orientation in Arabic and Hebrew records in OPAC display – Left-to-right display of subfields in “Title” due to the lack of “Field Orientation code” while scripts within subfields are from right to left “Field Orientation code” added back

25. Problems Caused by Non-standard Multiscript Records Irregularity in result display – Inconsistent sequencing of vernacular and transliteration fields

26. Problems Caused by Non-standard Multiscript Records Database maintenance – Data structure inconsistency Same kind of data resides in two different places Extra steps needed to accommodate inconsistencies – Heading validation issues NACO records with headings in vernacular in 4xx since mid 2008 Vernacular headings (4xx) in regular fields

27. Problems Caused by Non-standard Multiscript Records Expectation in retrieval of vernacular data – MSU only indexes CJK and Cyrillic data in 880 fields – Arabic, Hebrew, Greek, and other vernacular data in regular fields of non-standard multiscript records are indexed and searchable Create a false impression that patrons can search in scripts other than CJK and Cyrillic

28. Solutions MSU uses Model A for multiscript records Tasks – To change field tag of vernacular data to 880 – Subfield $6 in both regular & 880 fields To insert linking tag – Subfield $6 in 880 fields To insert script identification code* To insert field orientation code for Arabic & Hebrew records – To insert 066 field if not already exist* *No longer applicable since MSU has moved to Unicode environment

29. Solutions Necessary steps – Determine which fields contain vernacular data Replace regular field tag with 880 – Determine which script(s) is contained in a record Insert field 066* Insert “Script Identification code*” and “Field Orientation code” when appropriate *No longer applicable since MSU has moved to Unicode environment

30. Solutions XSLT (Extensible Stylesheet Language Transformation) – Within the family of XML Current version: 2.0 Case sensitive – “Transformation”means: Manipulation of XML documents by creating a new document based on the original document – Common usages in library context Web display – e.g. converting EAD into HTML for display Metadata crosswalking – Data selection and manipulation – Conditional processing Specify matching criteria and corresponding action(s)

31. Database Maintenance Workflow MSU Catalog Format Conversion XSLT Processor Format Conversion Uncorrected MARC File Uncorrected MARCXML Corrected MARCXML Corrected MARC File

32. U of M Catalog MSU Catalog Corrected records Alternative HathiTrust Pre-load Data Cleanup Workflow Request Retrieve XSLT Processor Uncorrected records

33. Design of XSLT Processing logic – Regular field to 880 and insert linking tag Remove all roman data from a field Determine length of a field – 0 => no vernacular data – ≠0 => contains vernacular data – Field 066, Script identification & Field orientation codes Match vernacular data field against vernacular characters

34. Design of XSLT Remove all roman data – Roman data (ASCII, special characters & diacritics used in transliteration) – replace() and translate() functions Find “pattern A” and replace it with “pattern B” – Replace roman data with nothing

35. Design of XSLT Test the length of the field after removing all non- vernacular data – XSLT elements: in combination with & – XSLT functions: string-length() …… [series of actions when string-length equals 0] …… [series of actions when string-length not equals 0]

36. Design of XSLT Field with no vernacular data 6 880- Test length of the field Insert original values Insert linking tag (880) and original occurrence number Copy subfields other than $6

37. Design of XSLT Field with vernacular data 880 6 - …… [Insert “Script Identification Code” & “Field Orientation Code”] Insert original values Insert original tag no. as linking tag Insert original occurrence number Insert “880” as tag no.

38. Design of XSLT Insert “Script Identification Code” (MARC-8 environment) /(3 /(S /(2 /(N /$1 Insert code for Arabic Insert code for Greek Insert code for Hebrew Insert code for Cyrillic Insert code for CJK

39. Design of XSLT Insert “Field Orientation Code” //r Test if the subfield contains Arabic or Hebrew script Insert Field Orientation Code

40. Design of XSLT Field 066 (MARC-8 environment) – Insert character set code in subfield $c – A single record may have more than one vernacular script => multiple subfield $c XSLT element: – Allows multiple matches XSLT function: matches() – Processing logic Turn the whole record into a text string Remove all Latin data Match vernacular script against normalized text string

41. Design of XSLT After removing all Latin data from the record … c (3 …… c $1 Replace Arabic characters with “3” Test if the normalized data contains “3” Insert “(3” as the character set code in $c Test if any non-alpha-numeral characters exist Insert code for CJK

42. Design of XSLT Factors affecting the design – Pre-load vs. post-load data clean up (HathiTrust workflow) Mechanism to filter out non-multiscript records needed for pre-load data clean up Construction of 949 overlay command* – MARC-8 vs. Unicode Field 066 and Script identification code not allowed in Unicode environment – 2 separate XSLTs made – OCLC vs. MARC21 Standard Representation of Bengali, Devanagari, Tamil, and Thai in field 066 * Innovative Millennium specific

43. Limitations & Unintended Consequences Processing of data represented by UTF-8 character number – \U+0e33\\U+0e43\\U+0e2b\\U+0e49\ Vernacular scripts processed (MARC-8 environment) Handling of unlinked vernacular data – Implications on OPAC display

44. Questions? Lucas Mak makw@mail.lib.msu.edu Michigan State University Libraries