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Faceted Navigation Design Tom Reamy Chief Knowledge Architect KAPS Group Knowledge Architecture Professional Services http://www.kapsgroup.com
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2 Agenda Introduction: Three Environments – E-Commerce, General Internet, Enterprise – Design, Research Design Issues and Approaches – Facets, Facet Structure, Faceted Navigation Design of the Facet Classification Conclusion
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3 Facet Design: Three Environments E-Commerce – Catalogs, small uniform collections of entities – Uniform behavior – buy this Internet – Wildly different amount and type of content, no taggers – General Purpose – Flickr, Yahoo – Vertical Portal – selected content, more precise targets Enterprise – More content, more types of content – Enterprise Tools – Search, ECM – Publishing Process – tagging, metadata standards
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4 Three Environments: E-Commerce
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6 eCommerce: Common Themes Early Adopters of Faceted Navigation – Things, Product Catalogs Balance of information and ads – Advertiser dominance – No – Auto-ads – Obituary for Obama Price and Type are basics 1 or 2 filters (source / type) – No – Intersection of facets is source of power
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11 Internet Design Subject Matter taxonomy – Business Topics – Finance > Currency > Exchange Rates Facets – Location > Western World > United States – People – Alphabetical and/or Topical - Organization – Organization > Corporation > Car Manufacturing > Ford – Date – Absolute or range (1-1-01 to 1-1-08, last 30 days) – Publisher – Alphabetical and/or Topical – Organization – Content Type – list – newspapers, financial reports, etc.
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12 General Internet Environment Text Mining, Vertical Portals Internet Content – Scale – impacts design and technology – speed of indexing – Limited control – Association of publishers to selection of content to none – Major subtypes – different rules – metadata and results Complex queries and alerts – Terrorism taxonomy + geography + people + organizations Text Mining – General or specific content and facets and categories – Dedicated tools or component of Portal – internal or external Vertical Portal – Relatively homogenous content and users – General range of questions
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13 Internet Environment: Common Themes Standard Facets – People, Companies, Place, Industry Interactive interface – sliders, date ranges Taxonomy – just another facet? – Keywords vs. simple taxonomy Semantics still hardest – summaries, related, rank Tag Clouds / Clusters – how useful? Common Mistake – facets not orthogonal – Issues and Topics / Clusters and Taxonomies Good Information Architecture – Space wars – summary or full facet display – Simplicity vs. research power
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14 Automatic Facets – Special Issues Text Analytics – auto-categorization, entity extraction Scale requires more automated solutions – More sophisticated rules Rules to find and populate existing metadata – Variety of types of existing metadata – Publisher, title, date – Multiple implementation Standards – Last Name, First / First Name, Last Issue of disambiguation: – Same person, different name – Henry Ford, Mr. Ford, Henry X. Ford – Same word, different entity – Ford and Ford Number of entities and thresholds per results set / document – Usability, audience needs Relevance Ranking – number of entities, rank of facets
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15 Enterprise Environment – Example Facet / Taxonomy Taxonomy of Subjects / Disciplines: – Science > Marine Science > Marine microbiology > Marine toxins Facets: – Organization > Division > Group – Clients > Federal > EPA – Instruments > Environmental Testing > Ocean Analysis > Vehicle – Facilities > Division > Location > Building X – Methods > Social > Population Study – Materials > Compounds > Chemicals – Content Type – Knowledge Asset > Proposals
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16 Enterprise Environment Enterprise Content – different world – More Content, more kinds, more unstructured – Not a catalog to start – less metadata and structured content – Complexity -- not just content but variety of users and activities Combination of human and automatic metadata – ECM – Software aided - suggestions, entities, ontologies Enterprise – Question of Balance / strategy – More facets = more findability (up to a point) – Fewer facets = lower cost to tag documents Dominance of Semantics – Facets and Faceted Taxonomies
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17 Enterprise Design Issues - Interface Good Information Architecture – Clutter of Facets and space wars – Number of facets and multiple types Target Problem – Faceted navigation good for discovery and exploration – Good at reducing results sets – issue of losing information Selection Sequence – what is best? – One facet at a time – Selection from multiple facets One each (adv search) Random numbers and sequence
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18 Enterprise Design Issues - General What is the right combination of elements? – Faceted navigation, metadata, browse, search, categorized search results, file plan What is the right balance of elements? – Dominant dimension or equal facets – Browse topics and filter by facet When to combine search, topics, and facets? – Search first and then filter by topics / facet – Browse/facet front end with a search box
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19 Enterprise Design Issues - General How many Facets do you need? – “ Can’t we start with just 1 or 2 facets and see how it works?” Balance of metadata overhead, findability, personalization – Distributed model reduces cost – enables more facets – ECM – publishing process, policy – Distributed taggers – users, user communities (2.0), KM-Library – Auto Populate – Organization, Location – Software – entity extraction, summarization, auto-categorization Rule of Thumb: – Small catalog of homogenous items 3-4 – Enterprise content – 6-8
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20 Enterprise Design Issues – Special Topics Publisher / creator – Organization or Author – user preference, size Internal Structure – Is it OK to have a facet organized by another facet? – Organization as a facet and as internal structure of the Facilities facet Candidates – don’t need a universal set that everyone agrees on – Location important for some, but not others Hidden facets – only show up when the content calls for it? – Some content has special facets – price – Only shows up if intersection contains items with price metadata
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21 Designing Faceted Classification Systems Match the structure to domain and task – Users can understand different structures Level of Structure related to size of domain – Alphabetical – list, range Number of Facets vs. Internal structure – People – list or sub-structure – organizations, functions, etc. Labeling – Systematic coherence vs. user labels, tasks Balance – number of items vs. complete model – 12 th cent – 3 items – 17 th cent – 3,058 Precision of unit values – very important!
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22 Designing Faceted Classification Systems Selection of Facets: Theory Issue - Complete Model of a domain Ranganathan – PMEST – Personality – Person, animal, event – Matter – what x is made of – Energy – how x changes – Space – where x is – Time – when x happens Three Planes – Idea, Verbal, Notational
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23 Designing Faceted Classification Systems: Selection of Facets - Complete Model of a domain Bliss Bibliographic Classification (BC2) Thing / Entity Kind Part Property Material Process Operation Patient Product By-product Agent Space Time
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24 Designing Faceted Classification Systems Selection of Facets: Practice Wine.com Region – Australia, California Type – Red Wine, White, Bubbly Winery – Alphabetical listing Price – $25 and below – $25-$50 Top Rated Wines – 90+ under $20 Top Sellers – Cabinet Sauvignon – Pinot Noir Hot Features – Wine outlet – Sideways collection
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25 Designing Faceted Classification Systems Selection of Facets: Practice Flamenco Architecture Search – Marti Hearst Periods – 17 th -18 th century Locations – Africa, Western Europe Source – Person, catalog, schools Materials – Chalk, clay View Types – City views, drawings Building Names – White House Concepts – Cultural, Economic People – Artist, Developer Styles – Ancient, Mediterranean Structure Types – Building, Human Settlements
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26 Designing Faceted Classification Systems KAPS Group Enterprise Taxonomy Basic Six Dimensions – People individuals and communities – Event – Location – Time – Entities/ Things – Information Resource – types Custom – Products / Services Applications / Technologies Combine with subject matter taxonomies Rules – Attributes – credit limit – Function – credit management
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27 Conclusions: Design Find the right blend of pure facets, hybrid facets, taxonomies, faceted taxonomies, ontologies, etc. – Design for your situation – eCommerce, Internet, or Enterprise Documents – more complicated than products, later start – Need facets plus taxonomies, semantics Integrated design is essential – not facets as add on Dynamic classification is better than pre-coordinated structures – Combine formal power with ability to support multiple user perspectives – Formal taxonomies are best for dynamic classification
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Questions? Tom Reamy tomr@kapsgroup.com KAPS Group Knowledge Architecture Professional Services http://www.kapsgroup.com
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