Faceted Navigation An Alternative to Search and Browse Tom Reamy Chief Knowledge Architect KAPS Group Knowledge Architecture Professional Services

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Presentation transcript:

Faceted Navigation An Alternative to Search and Browse Tom Reamy Chief Knowledge Architect KAPS Group Knowledge Architecture Professional Services

2 Agenda  Introduction: What is Faceted Navigation?  When to Use Faceted Navigation  How to Develop Facet Classifications  Implementation of Faceted Navigation  Future of Faceted Navigation

3 What is Faceted Navigation?  Faceted navigation will change enterprise search!  Faceted navigation will change the way business works!  Faceted navigation means the end of taxonomies!  Faceted navigation means no more metadata!  Faceted navigation will eventually replace search!  Faceted navigation will remove rust, polish your silver, feed the hungry, clothe the poor, and bring world peace!  To All the Above – NAH!

4 What are Facets?  Facets are not categories – Entities or concepts belong to a category – Entities have facets  Facets are metadata - properties or attributes – Entities or concepts fit into one category – All entities have all facets – defined by set of values  Facets are orthogonal – mutually exclusive – dimensions – An event is not a person is not a document is not a place. – A winery is not a region is not a price is not a color.

5 What are Facets? Internal Organization  Taxonomies – parent – child – Animal – Mammal – Zebra  Browse Classification – cluster – Food and Dining – Catering - Restaurants  Facets – variety – of units, of structure – Date or price – numerical range – Location – big to small (partonomy) – Winery - alphabetical

6 What is Faceted Navigation?  Not a Yahoo-style Browse – Computer Stores under Computers and Internet – One value per facet per entity  Faceted Navigation is not hierarchical – Tree – travel up and down, not across – Facets are filters, multidimensional  Facets are applied at search time – post-coordination, not pre-coordination [Advanced Search]  Faceted Navigation is an active interface – dynamic combination of search and browse

7 When to Use Faceted Navigation Advantages  More intuitive – easy to guess what is behind each door Simplicity of internal organization 20 questions – we know and use  Dynamic selection of categories Allow multiple perspectives Ability to Handle Compound Subjects  Trick Users into “using” Advanced Search wine where color = red, price = x-y, etc. Click on color red, click on price x-y, etc.  Fewer = simple, can use auto-classification better

8 When to Use Faceted Navigation Disadvantages  Implementation Disadvantages: – Loss of Browse Context Difficult to grasp scope and relationships – Difficulty of expressing complex relationships  Essential Limit of Faceted Navigation – Limited Domain Applicability – type and size – Entities not concepts, documents, web sites  Limits are changing

9 When to Use Faceted Navigation  Type of Collections – Small to medium sized sets of things – Homogenous set of entities  Arbitrary Categorization of Domain – Taxonomy of Office Supplies – yes – Taxonomy of Life, Life Insurance – no.  Nature of the domain and tasks – Multi-dimensional area – no single hierarchy – Nature of Important distinctions  Can Create a Complete Set of Facets – 3 or more mutually exclusive dimensions

10 Developing Facet Structure: 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

11 Developing Facet Structure: 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

12 Developing Facet Structure: 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

13 Faceted Taxonomy – Example 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

14 Developing Facet Structure: Selection of Facets  Two Sources – domain and users model of domain  Domain – Mutual Exclusivity – Homogeneity – Automatic Software, entity extraction  User’s Model of the Domain – Suitability of Facets and Facet Labels – Support for user tasks Surveys, search log analysis

15 Developing Internal Facet Structure  Reflect current usage – expert community and user community  Flexibility – allows for additions of new subject, facets, entities at any point in the system  General: chronological, alphabetical, spatial, simple to complex, size or quantity, hierarchical, canonical  Match the structure to domain and task – Users can understand different structures  Precision of unit values – very important!

16 Developing Internal Facet Structure  Balance – number of items vs. complete model – 12 th cent – 3 items – 17 th cent – 3,058  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

17 Developing Facets: Tools and Techniques Software Tools  Entity / Noun Phrase Extraction – Inxight – 50+ predefined classified dimensions Controlled Vocabulary Classification of all entities – Revision, testing, maintenance  Implementation – XFML – Subset of Topic Maps, Facetmap – Database – SQL – Endeca, Siderean

18 Implementation of Faceted Navigation Sample Sites  Bad – Single set of facets, select and browse It’s just another category – “Faceted” Search It’s just advanced search  Better – Combination of single facet browse and search  Good – Multiple facet browse and search

19 Implementation of Faceted Navigation Usability Issues  Equal facets or Main and Secondary facets – Number of facets, user population  Links, Pull down Menus, Child Pages – Size of element set, granularity  Mixed paths or dedicated facet interface – Wine.com – specials, time sensitive facets – Facets within taxonomy – browse by wine type, then apply price, region facets

20 Future of Faceted Navigation  E-commerce Sites – Biggest Growth  Enterprise Applications – Selected areas: supplies, forms, software libraries etc. Yellow Pages, Faceted Site Map  Combining subject matter and facets Geography facet and terrorism taxonomy  Complex Applications – Business Rules and Facet Relationships If AND THEN tag the story for text mining, Alerts – Facets and answers – comparison tables

21 Conclusion  Faceted Navigation is not the answer, but it’s a good additional tool for the right domains  Easy to use and understand, but needs to be done right  Limited enterprise use, but growing – site maps, etc.  Increasing importance of Mixed Methods – facets and subject matter taxonomies and search  Faceted Navigation means more structure, taxonomies, metadata, not less – and that is a good thing

Questions? Tom Reamy KAPS Group Knowledge Architecture Professional Services

23 Faceted Navigation Resources  Articles – Faceted Classification Resource Collection – A Simplified Model for Facet Analysis phttp://iainstitute.org/pg/a_simplified_model_for_facet_analysis.ph p – Mailing List for Faceted Classification – Study – Facets on the Web (75 ecommerce sites)

24 Faceted Navigation Resources  Example Implementations – Berkeley SIMS – Flamenco – Facetmap – demo’s – – Commercial – Wine.com (and 75 others– see articles)  Tools – Inxight – entity and fact extraction – – ClearForest - – Verity – – Convera – Facet Taxonomies -

25 Faceted Navigation Resources  Vendors – Atomz - – Dieselpoint – – EasyAsk – – Endeca – – iPhrase – – Siderean Software - – Aduna – – I4ii –

26 Faceted Navigation Resources  Articles – How to Make a Faceted Classification and Put It On the Web – Putting Facets on the Web: An Annotated Bibliography – Ecommerce – cooking and kitchen – Faceted Navigation – Extended Faceted Taxonomies for Web Catalogs – Webdesignpractices – study of ecommerce use of faceted navigation – Use of Faceted Classification