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RUGCombine & Livetrix : search for a perfect interface ....?

From digicmb, 1 year ago

Livetrix : building around the (metalib)box.<br />Presentation & works more

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Slide 1: RUGCombine & Livetrix the search for a perfect search interface …? Presentation & workshop at Norwegian Knowledge Centre for the Health Services Olso, January 15th 2007 & NTNU Library (UBiT) Trondheim, January 17th & 18th 2007 Guus van den Brekel Coördinator Electronic Services, Central Medical Library University Medical Center Groningen Website: www.rug.nl/umcg/bibliotheek Blog: Digicmb.blogspot.com Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 1

Slide 2: RUGCombine : Library Resources Portal • Federated search (Quick & Advanced) • All databases • All E-Journals • Personalization : My Library Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 2

Slide 3: Our Metalib: RUG Combine • Introduced v2 as pilot 2004, Faculty of Medicine and University Medical Centre (Hospital staff) • Migrated to v3 in January 2005, completing introduction to the whole of the University september 2005 • NOT only gateway (OPAC, Guide, Lists); usage modest so far • Our SFX: RUGlinks • Introduced 2002, v3 since 2005 Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 3

Slide 4: RUGCombine = Metalib out of the box • But with extensive modifications IN the box • Layout and resticted functionality • Problem: no content Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 4

Slide 5: Shocking Statistics (1) 15% errors: •technical measures > reducing to 1.5% errors/flaws 50% zero or false results: •Misspellings and typos in search terms •Picking databases at random •Unable to understand QuickSearch, MetaSearch, Find Database •Using the wrong search keys Metalib statistics Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 5

Slide 6: Shocking Statistics (2) • Using search keys wrong • Using Dutch search terms in English language databases • Using non-specific terms, phrases that are too broad • Lack of understanding of Boolean logic or database peculiarities Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 6

Slide 7: LiveTrix = X-Server +Metalib • xml • Working outside the box • Modulair, you can add/connect stuff, flexible • Harvesting & analysing records • Statistics modules (from logfiles) – Metalib statistics – SFX-statistics Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 7

Slide 8: A Short Term example “Building around the box” From statistics to new services From Metalib -> LiveTrix http://Livetrix.ub.rug.nl Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 8

Slide 9: Already implemented in LiveTrix (1) • Discovery/suggestion tool (no need to select resource/database or subject first! • Spellcheck/adviser • Translation • Query Analysis • Inline- SFX & lending info with OPAC records • Impact factor info with Journals • Related strings info Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 9

Slide 10: Already implemented in LiveTrix (2) • Relevant help at point of need • Alert service (RSS & Email) • Relation Databases • WorkBench • Bookmarks • TinyUrl creation • Just in production: – Cumulated lending figures OPAC – Separate record selection to WorkBench – Fulltext availability on First Selection Screen Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 10

Slide 11: LiveTrix: under the hood •Search terms are sent to all databases in the background. •The first 300 titles from each database are retrieved. These titles are indexed both as a string and word for word, as well as counted. A relation network is built up. From then on, the system knows in which databases these terms occur. •In the next query, suggestions about databases (“likely sources”) are given on the basis of these ever expanding indexes. •Dito for suggestions about word relations. •The indexes are also used for correcting typos and word/phrase suggestions. •Suggestions about similar sounding phrases are given upon phonetic matches (“Soundex”). Source: Redesigning our Combine Harvester (MetaLib) (Ane W. van der Leij, University of Groningen, NL) Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 11

Slide 12: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 12

Slide 13: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 13

Slide 14: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 14

Slide 15: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 15

Slide 16: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 16

Slide 17: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 17

Slide 18: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 18

Slide 19: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 19

Slide 20: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 20

Slide 21: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 21

Slide 22: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 22

Slide 23: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 23

Slide 24: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 24

Slide 25: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 25

Slide 26: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 26

Slide 27: Complex phrases Dutch ! (obesity) Quotes Name handling Name handling Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 27

Slide 28: On The On The Long Term (1) SHORT Term (1) • new central information system: component-based software, no monolithic ILS • Open standards and protocols: inter-operability • modular web-based library services • Web 2.0 social software Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 28

Slide 29: On The SHORT Term (2) • use of logs stats, evaluate and re-use • “Make the data work harder”. Combinations of data-sets can be used to create new services. • in more ways than one; platform independent Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 29

Slide 30: Central Medical Library, UMCG, www.rug.nl/umcg/bibliotheek 30