University library Primo at the University of Amsterdam Technology vs Real Life

Transcription

1 Primo at the University of Amsterdam Technology vs Real Life Lukas Koster - Library Systems Coordinator - Library of the University of l.koster@uva.nl EMTACL 2012, Trondheim, October 1-3, 2012

2 Agenda 1-Discovery tools 1a-Technology 3-Indexing 2-Content 4-User interface

3 Technology vs Real Life

4 Discovery tools A one-stop single-search-box web based solution for searching, browsing, discovery and delivery of print and digital publications and objects available from library collections, institutional resources and academic publishers, using a unified index Content Print publications Digital publications Objects Library collections Institutional resources Academic publishers Indexing Unified index User interface One stop Single search box Web based Searching Browsing Discovery Delivery

5 Discovery tools What I would like: Gateways to all information a library has access to

6 Discovery tools: the environment Academic libraries Teaching Research Access Subscriptions Freely available Information Traditional publications All other types

7 Aside Everything I say applies to all discovery tools, Not only Primo

8 Technology Harvesting & Indexing

9 Technology Discovery frontend User interface Central Metadata Index Indexing Harvesting Content ejournal ejournalejournal UI External database UI External database External database Repository Image database Local database UI ILS UI

10 Technology Discovery frontend User interface Central Metadata Index Harvested and Indexed Content

11 Content

12 Content Theoretically (technically) we can harvest everything we have access to

13 Content Discovery frontend User interface Central Metadata Index Indexing Harvesting Content ejournal ejournalejournal UI External database UI External database External database Repository Image database Local database UI ILS UI

14 Content Discovery frontend User interface Indexing Harvesting Shared Metadata Index Local Metadata Index ejournal ejournalejournal External database External database External database Repository Image database Local database ILS Content

15 Content Discovery frontend User interface Harvested and Indexed Content Shared Metadata Index Local Metadata Index

16 Content Shared Metadata Index Local Metadata Index Local

17 Content Shared Metadata Index Local Metadata Index Local ejournal ejournalejournal ILS External database External database External database Repositories Local SFX

18 Content Shared Metadata Index Local Metadata Index Local ejournal ejournalejournal Content provider System vendor Content provider External database External database Content provider External database Repositories Local SFX Student Theses ILS

19 Content Alternative coverage

20 Content Content types Mostly: Traditional publications Books Articles Also other types Datasets Maps etc.

21 Content In reality we can t harvest everything we have access to

22 Indexing

23 Indexing Theoretically (technically) we can index everything unambiguously

24 Indexing Shared Metadata Index Local Metadata Index Local Two separate indexes

25 Indexing Data source Harvesting Source records Normalising PNX PNX PNX PNX PNX <search> <author> <title> </search> <display> <author> <title> </display> <facets> <author> <type> <date> </facets> <links> </links> <delivery> </delivery> Or similar, etc.

26 Indexing Shared Metadata Index Local Metadata Index Local No deduplication across indexes No FRBRisation across indexes

27 Indexing Shared Metadata Index Local Metadata Index Local Consolidate both indexes Adapt local indexing to shared indexing

28 Indexing Author names Works reasonably well Multiple search variants <creatorcontrib> Beckett, Samuel </creatorcontrib> <creatorcontrib> Samuel Beckett </creatorcontrib> <creatorcontrib> Beckett, S </creatorcontrib> <creatorcontrib> Samuel Beckett </creatorcontrib> But: strings, no unique identifiers

29 Indexing Topics Again: strings, no unique identifiers Subjects/topics/keywords etc. are taken from each datasource as is

30 Indexing Resource types Match Resource Types codes across indexes One Resource Type per record

31 Indexing Resource types Interesting example from institutional repository MODS/DIDL <typeofresource>text</typeofresource> <genre>info:eu-repo/semantics/doctoralthesis</genre>

32 Aside: Primo hackable Ex Libris Open APIs customisable, plugins, addons Linked Open Data Special Interest Working Group

33 University library Indexing In reality we can t index everything unambiguously

34 User interface

35 User interface Theoretically (technically) we can find all we need with one search

36 User interface Broad Scoped Discipline Known item

37 User interface Setting context Before Advanced search, etc. Subject Discipline Scope Type Date Search After Refine results/facets Subject Discipline Source Type Date

38 User interface Broad Refine Facets

39 User interface Scoped

40 User interface Requires uniform classification by subject of each item In Local and Shared index Discipline At the moment only available for relevance ranking in On Journal level ScholarRank

41 User interface No discovery desired! Search on Title, Title + Author Known item

42 User interface Different audiences, context Depending on context, different search interfaces may be appropriate

43 University library User interface In reality we can t find all we need with one search

44 Technology vs Real Life We can t harvest everything We can t index unambiguously We can t find all we need with one search YET!

45 YET! NEXT?