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Library Catalogs and Faceted Metadata Search/Browse
Avi Rappoport
Search Tools Consulting
© Avi Rappoport, Search Tools Consulting www.searchtools.com 2
Introduction
• Library catalogs interfaces are unfriendly
• Most search terms are short and dumb
• Users don’t know how to refine their queries
• What to do?– Take advantage of structured metadata– Create contextual dynamic navigation– Learn from web interface usability testing
© Avi Rappoport, Search Tools Consulting www.searchtools.com 3
Defining Facets
• Attributes of an object, categories– Mutually exclusive– Sufficient to describe object– Contain controlled vocabulary elements
• Faceted Classification– Assigns a number based on facets– Subdivide broad domains– Develop new elements with facets
© Avi Rappoport, Search Tools Consulting www.searchtools.com 4
Facets according to Ranganathan
• Indian librarian and theorist, 1920s-30s• “Fundamental Facets” for text objects (books)
– Personality - What the object is primarily about – Matter - the material of the object – Energy - the processes or activities that take
place in relation to the object– Space - where the object happens or exists– Time - when the object occurs
© Avi Rappoport, Search Tools Consulting www.searchtools.com 5
Defining Metadata
• Information about information– Everything but the actual text
• Sources of metadata– Explicit: metadata tags or document properties– Intrinsic: text may include author or date– Derivable: file size, file format– External: category, topic, subject heading
© Avi Rappoport, Search Tools Consulting www.searchtools.com 6
Metadata in MARC records
• Language• Main entry• Title• Edition• Place• Publisher• Year• …..
© Avi Rappoport, Search Tools Consulting www.searchtools.com 7
Dublin Core Metadata Standard
• Author• Title• Subject• Type• Source• Audience• Coverage• Description
• Date• Format• Identifier• Language• Relation• Contributor• Creator• Publisher• Rights
© Avi Rappoport, Search Tools Consulting www.searchtools.com 8
Defining Faceted Metadata
• Various aspects of an information object– Not just topical or taxonomical– Exposing facets for browsing
• Examples– Shoe: size, color, brand, material, price, style– Book: author, title, year, publisher, subject
© Avi Rappoport, Search Tools Consulting www.searchtools.com 9
IR and UI research
• Berrypicking– Marcia Bates, 1989– Information is scattered, searches evolve
• Information Foraging– Pirolli and Card, 1995 - 2001– User choices based on information “scent”
• UI Framework– Schneiderman, Byrd, Croft, 1995– Baseline for search interfaces
© Avi Rappoport, Search Tools Consulting www.searchtools.com 10
Professor Marti Hearst, UCB SIMS
• UI/IR background• Pulls it all together
– Metadata– Faceted categories (not just topical)– Results list– Full-text Search– Dynamic Navigation– Preview Numbers
• Usability study compares with baseline
© Avi Rappoport, Search Tools Consulting www.searchtools.com 11
Flamenco Test
• Testbed: museum photos of objects• Baseline system: like Google Image Search• Testers: Art history students• Tasks: both open and directed• Results
– Greater search satisfaction– Significantly better success in finding relevant images– More content familiarity– User preference (after trying both)
© Avi Rappoport, Search Tools Consulting www.searchtools.com 12
Flamenco Example
© Avi Rappoport, Search Tools Consulting www.searchtools.com 13
After Flamenco, the Deluge
• Tower Records• Sears• Patagonia• CompUSA• Arrow Electronics• KB Toys• Beachhouse.com• eBay (topical facets)
© Avi Rappoport, Search Tools Consulting www.searchtools.com 14
Not Just Commerce
• DexOnline (Yellow Pages)
• Environmental Health News
• IHS regulatory information
• MFS asset management
• Putnum Investments
• World Book Encyclopedia
© Avi Rappoport, Search Tools Consulting www.searchtools.com 15
Compared to the Form Interface
• Form interface – Rewards specific questions– Minimal context– Often leads to dead ends
• Faceted metadata interface– Rewards browsing– Extensive context– Only shows viable options
© Avi Rappoport, Search Tools Consulting www.searchtools.com 16
Form interface Example
© Avi Rappoport, Search Tools Consulting www.searchtools.com 17
Dynamic Browse Interface Example
© Avi Rappoport, Search Tools Consulting www.searchtools.com 18
OPACs
• Free-text search is the expectation– Like Google/Yahoo/MSN/AskJeeves
• Faceted metadata could make it powerful– Show available options– Expand possibilities– Expose related items– Provide dynamic context
© Avi Rappoport, Search Tools Consulting www.searchtools.com 19
OPAC result (simple)
© Avi Rappoport, Search Tools Consulting www.searchtools.com 20
Tower Records faceted result
© Avi Rappoport, Search Tools Consulting www.searchtools.com 21
Chapters.ca faceted result
© Avi Rappoport, Search Tools Consulting www.searchtools.com 22
Orvis example
© Avi Rappoport, Search Tools Consulting www.searchtools.com 23
CompUSA example
© Avi Rappoport, Search Tools Consulting www.searchtools.com 24
EHN Example
© Avi Rappoport, Search Tools Consulting www.searchtools.com 25
DexOnline example
© Avi Rappoport, Search Tools Consulting www.searchtools.com 26
Dublin Core example
© Avi Rappoport, Search Tools Consulting www.searchtools.com 27
eBay Example
© Avi Rappoport, Search Tools Consulting www.searchtools.com 28
Integrating Multiple Info Sources
• Source is one facet
• Leverage database structures
• Full-text search initially– Dynamic navigation – Drill-down– Refining queries
© Avi Rappoport, Search Tools Consulting www.searchtools.com 29
Faceted Search/Browse The obvious next step for OPACs
• Build on the research
• Avoid complex forms
• Leverage content structure
• Reduce confusion
• Encourage search refinement
• Please do it!