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Unicorn Indexing: A Behind The Scenes Look SCUUG 2002 Natalie Palermo Louisiana State University.

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Presentation on theme: "Unicorn Indexing: A Behind The Scenes Look SCUUG 2002 Natalie Palermo Louisiana State University."— Presentation transcript:

1 Unicorn Indexing: A Behind The Scenes Look SCUUG 2002 Natalie Palermo Louisiana State University

2 What’s Behind the Scenes  Indexes  Variations  Hypertext

3 Indexes  Browse  Keyword

4 Delivered Browse Indexes  Author  MESH  Periodical Title  Series  Subject (rotated)  Title

5 Browse Indexes  Rotated: multiple postings of a phrase with each subfield beginning the phrase  NEW ORLEANS LA HISTORY 18TH CENTURY  HISTORY 18TH CENTURY NEW ORLEANS LA  18TH CENTURY NEW ORLEANS LA HISTORY  Changes require Rebuild Headings and thus Rebuild Text

6 LSU Browse Index Changes  Create new browse index, LOCAL_NUM, for 035 field  Add to title browse index:  240, 246, 524  Add to subject browse index:  655

7 Keyword Index Policy Types  Searchable Keyword Index  Non-searchable Keyword Index  Internal Synonym Keyword Index  Synonym List Keyword Index

8 Searchable Keyword  Single entries from bibliographic record  Mapped to internal tags used by BRS  For example, LSU added the following:  027, 035, 043, 088, 210, 243, 247, 351, 510, 524, 538, 541, 586, 653, 655, 752, 760, 773, 856  AUTI for name/title entries  Posted 700|t, 710|t, and 711|t to AUTI

9 Non-searchable Keyword  Used for sorting search results in the library catalog  Does not represent an entry or group of entries for searching

10 Internal Synonym Keyword  Defines which entries are searched when a given type of search is performed  Creation, modification, and removal require changes to BRS equivalent field definitions  Searches qualified by internal synonyms are more efficient  Changes require Rebuild Text

11 Delivered Internal Synonyms IndexSynonymMARC Entries AuthorAU100, 110, 111, 700, 710, 711 SeriesSE400, 410, 411, 440, 490, 800, 810, 811, 830, 840 SubjectSU600, 610, 611, 630, 650, 651, 690, 691 TitleTI130, 245, 440, 730, 740

12 LSU Additions to Internal Synonym Keyword Indexes  Add to title keyword index:  240, 246, 440, 490, 505, 524, 830, AUTI  Add to author keyword index:  505

13 Synonym List Keyword  Defines which entries are searched when a given type of search is performed  Definable without requiring modifications to BRS configuration  Less efficient search  GENERAL is an example of a synonym list keyword index

14 Variations  Each catalog format entry ID has its own browse and keyword variations  Variations can be in addition to others or supersede others  Variations can be based on:  indicators  subfields  leading articles

15 Serial 246 Browse 1

16 Serial 246 Browse 2

17 Serial 780 Browse 1

18 Serial 780 Browse 2

19 Serial 246 Keyword 1

20 Serial 246 Keyword 2

21 Serial 780 Keyword 1

22 Serial 780 Keyword 2

23 Hypertext  Subfields used in hypertext search  Hypertext search types:  Partial  Exact  Keyword

24 Hypertext Search Subfields  For each entry ID, you can determine which subfields are included in a hypertext search  To improve the likelihood of finding matching records, do not include subfields that narrow the search

25 Serial 246 Hypertext Subfields

26 Serial 780 Hypertext Subfields

27 Hypertext Configuration  In WorkFlows, go to global configuration to set the hypertext search type  In iLink, set the hypertext search type in the following environment variable:  LIKESEARCHTYPE

28 Partial Hypertext Search  Partial lookup in the browse index specified in first browse variation  Builds an "OR" search string of the matched heading keys  Returns the results identified to the point of the search string character limit

29 Partial Hypertext Search  If the search string limit is met, you will get one of the following messages:  iLink message: Results list truncated – too many terms  WorkFlows message: Partial search results too long  Delivered default value and best choice for most libraries

30 Exact Hypertext Search  Exact lookup in the browse index specified in first browse variation  May be the best choice for some large libraries

31 Keyword Hypertext Search  Lookup in the keyword indexes  Uses keyword index specified in first keyword variation  Online help does not recommend this type

32 Hypertext Search Subfields  In this example, all 780 subfields are included in the hypertext search:  Journal+of+the+American+Medical+Association+0 002-9955+(DLC)+++07037314+(OCoLC)1480379  It’s highly unlikely that a match will be found for this search string

33 Hypertext Search Subfields  In this example, only 780 |t is included in the hypertext search:  Journal+of+the+American+Medical+Associ ation  It’s very likely that a match will be found for this search string

34 Contact Information: Natalie Palermo Systems Librarian Louisiana State University palermo@lsu.edu


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