SlideShare a Scribd company logo
Taxonomies for E-Commerce
 Best practices and design challenges


                                 Heather Hedden
                            Taxonomy Consultant
                  Hedden Information Management


            Gilbane Conference, Boston, November 29, 2012
About Heather Hedden

•   Independent taxonomy consultant, Hedden Information Management
•   Continuing education online workshop instructor, Simmons College
    Graduate School of Library and Information Science
•   Author of The Accidental Taxonomist (Information Today, Inc., 2010)
•   Previously
    – employed taxonomy consultant
    – in-house taxonomy manager
    – publishing company vocabulary editor
    – taxonomist for enterprise search tool vendor
    – indexer



                         © 2012 Hedden Information Management             2
Introduction to Taxonomies

A Taxonomy…

• An authoritative, restricted list of terms/names/labels/categories
• Each term is for a single unambiguous concept
• Governed by policies for who, when, and how new terms can be
  added
• Arranged in some (hierarchical) structure or groupings
• Supports indexing/tagging/categorizing/metadata management
  of content
• Facilitates retrieval/findability in both browsing and searching


                      © 2012 Hedden Information Management           3
Introduction to E-Commerce Taxonomies


Typical characteristics of retail/ecommerce taxonomies:
• Separate hierarchy for each department or broad product
  category.
      Typically 5 – 20 top categories/hierarchies
      Typical hierarchy depth of 3-4 levels
      Typically 3 – 20 terms/subcategories per level

• May also have facets, typically at deeper hierarchy levels.
• Ordering is not always alphabetical, rather popular or logical.



                     © 2012 Hedden Information Management      4
16
Hierarchies                                                     17
              12
                                        14




  11+



                                                          10+
                   © 2012 Hedden Information Management         5
Subcategories in
Hierarchies




                   © 2012 Hedden Information Management   6
Facets

Facets
  = Attributes = Dimensions = Refinements = Filters = Limit by

• Facets are for narrowing category sets that are similar and
  support the same kinds of attributes.
• Facets work well for retail products that are sufficiently
  similar: all shoes, all luggage, all laptop computers.
• Facets may:
   – be the only type of taxonomy on a specialized retail site
   – appear at lower (more specific) category hierarchy levels
     of a general retail site.
   – appear after executing a search
                    © 2012 Hedden Information Management     7
Facets




         © 2012 Hedden Information Management   8
Facets




9   © 2012 Hedden Information Management            9
E-Commerce Taxonomy Design Challenges

1.   Distinguishing a subcategory from a facet value
2.   Different categorization methods and category cross-overs
3.   Related items and accessories
4.   Sort order options: alphabetically or not
5.   Competitor website comparisons
6.   Web site vs. physical store organization
7.   Business needs vs. taxonomy standards/best practices




                      © 2012 Hedden Information Management   10
Challenge 1. Subcategory vs. Facet Value

Categories and subcategories are:
• Things, products, nouns, items that can stand by themselves
• e.g. Sweater

Facets and their values are:
• Characteristics, descriptions, adjectives, dimensions of
  things, which do not stand by themselves
• e.g. Blue




                     © 2012 Hedden Information Management    11
Challenge 1. Subcategory vs. Facet Value

Problem: Modifier + Noun                           Example:
                                                   Flannel Shirts
 Should it be:
Category: Noun                                     Shirts
Subcategory: Modifier + Noun                       > Flannel Shirts

 OR should it be:
Category: Noun                                     Category: Shirts
Facet value: Modifier                              Fabric (facet): Flannel




                        © 2012 Hedden Information Management                 12
Challenge 1. Subcategory vs. Facet Value

Considerations:
• Is the modifier an obvious value of an facet?
  Do customers consider Flannel a kind of fabric or a subtype
  of shirt?
•    Are there other products (other than shirts) in the same
    website that also have this modifier (such as flannel
    sleepwear)?
• Is the list of facets already quite long?
• Are the levels of subcategories already deep enough?




                      © 2012 Hedden Information Management      13
Challenge 2. Categorization and Cross-Overs

Multiple categorization examples:
• Women’s Shoes – in Women’s Clothing; in Shoes
• Office Furniture – in Office Products; in Furniture

Cross-over product examples:
• Home Theater – in TV/Video; in Audio/Stereo
• Printer-Scanner-Faxes – in Printers; in Scanners; in Fax Machines




                       © 2012 Hedden Information Management      14
Challenge 2. Categorization and Cross-Overs

Put in both locations – Polyhierarchy
OK, but…
• Too much polyhierarchy confuses the tree structure.
  Polyhierarchies work better for specific terms/categories at
  the lowest level or second-lowest with small sub-hierarchies,
  (e.g. Fitness GPS Watches in GPS Systems, in Portable
  Fitness Electronics, and in Watches),
  not large hierarchy branches.
• Systems may not fully support polyhierarchy
• Breadcrumb trail may be only a fixed path, not dynamic/not
  user’s path.

                     © 2012 Hedden Information Management      15
Challenge 2. Categorization and Cross-Overs




Breadcrumb trail may not reflect the user’s navigation path, but
rather only the other, one fixed hierarchy, path of the polyhierarchy.

                       © 2012 Hedden Information Management              16
Challenge 3. Related Items

• E-Commerce Taxonomies tend to be simple hierarchical.
  They usually don’t have “related terms” relationships.
• Individual products (SKUs) can be manually related.
• Product categories (taxonomy terms) are usually not related.

Special cases:
• Accessories to products
• Related services

Examples:
• Accessories to Products: Camera Accessories
• Related Services: Delivery and Setup/Installation Services

                    © 2012 Hedden Information Management       17
Challenge 3. Related Items

Issue:
Where to put related items in an hierarchical-only taxonomy
   – As narrower terms
   – In a separate hierarchy
   – Both




                    © 2012 Hedden Information Management      18
Challenge 3. Related Items

 Related accessories narrower terms:
 Whether to rename the parent category to include related
 accessories
 Computers                or Computers & Accessories
 . Laptop Computers                          . Laptop Computers
 . Desktop Computers                         . Desktop Computers
 . iPad, Tablet & eReaders                   . iPad, Tablet & eReaders
 . Monitors                                  . Monitors
 . Mice & Keyboards                          . Mice & Keyboards
 . Printers & Scanners                       . Printers & Scanners
 . Computer Memory                           . Computer Memory
 . Computer Components                       . Computer Components
 . Computer Accessories                      . Computer Accessories



                         © 2012 Hedden Information Management            19
Challenge 3. Related Items

Related services listed as a narrower term under products




                    © 2012 Hedden Information Management    20
Challenge 3. Related Items

Related items and services listed in a separate hierarchy




 21                  © 2012 Hedden Information Management   21
Challenge 4. Display Sort Order Choice


 Could be alphabetical                or could be “logical”




                    © 2012 Hedden Information Management      22
Challenge 5. Comparing with Competitors

1. Need to distinguish comparing design with comparing
   content organization.
2. There may not be a 100% identical competitor.
   Each retailer has a slightly different focus.
   –   Target – general, but no major appliances
   –   Sears – general, plus automotive parts
   –   Walmart – general, plus pharmacy
   –   Best Buy – electronics focus, plus appliances, furniture, etc.
   –   Sam’s Club – general, no clothing; plus pharmacy & grocery
   –   Amazon – book and media focus; plus everything else


3. Brand retailers (e.g. clothing) try to differentiate themselves.

                        © 2012 Hedden Information Management            23
Challenge 6. Comparing with Physical Stores

There may be a push to organize the product taxonomy in
  conformity with store layout and organization.
• Loyal customers might understand it.
• But are customers divided by store loyalty or by physical
  store vs. online shoppers?

Factors may be unique to physical stores:
• Newest/hottest products at the entrance
• Small accessories in the checkout lines
• Larger items in the back
• Use of aisle end-caps for featured items
• Creative use of physical space

                     © 2012 Hedden Information Management     24
Challenge 7. Business Needs vs. Best Practices

Possible taxonomy requests for “business needs” that
  challenge taxonomy standards or best practices:
• Creating new top level categories for relatively small, hot
  categories, that belong under existing top categories
• Creating multiple polyhierarchies for a product category to
  help promote it
• Creating intermediate level categories to group and promote
  related subcategories, not to serve navigation




                     © 2012 Hedden Information Management       25
Challenge 7. Business Needs vs. Best Practices

Solution to taxonomy requests for “business needs” that
  challenge taxonomy standards or best practices:


  Create more than one navigation path
  1. Accurate hierarchies (such as in left-hand margin)
  2. Promotional categories (in central space)


  Create a “featured” category that is manually maintained




                    © 2012 Hedden Information Management     26
Challenge 7. Business Needs vs. Best Practices

• List of next level categories may differ in the true taxonomy
  of the left hand navigation, compared with the central area.




                     © 2012 Hedden Information Management         27
28   Please change this text in the masterHedden Information Management
                                  © 2012 templates                        28
Conclusions

•   Product taxonomies are not as simple to create as expected.
•   Taxonomy design may be under constraints.
•   Business needs can challenge taxonomy standards.
•   Creative solutions may be needed.
•   Consider customer perspectives, use cases, and scenarios.




                     © 2012 Hedden Information Management    29
Questions/Contact




Heather Hedden
Hedden Information Management
Carlisle, MA
heather@hedden.net
www.hedden-information.com
www.accidental-taxonomist.blogspot.com
www.linkedin.com/in/hedden
Twitter: @hhedden
978-467-5195


                       © 2012 Hedden Information Management   30

More Related Content

What's hot

Informatica PowerCenter
Informatica PowerCenterInformatica PowerCenter
Informatica PowerCenter
Ramy Mahrous
 
DITA and Metadata on an Enterprise Scale
DITA and Metadata on an Enterprise ScaleDITA and Metadata on an Enterprise Scale
DITA and Metadata on an Enterprise Scale
Kristen Eberlein
 
Domain Driven Design
Domain Driven DesignDomain Driven Design
Domain Driven Design
Harsh Jegadeesan
 
SharePoint Folders vs. Metadata Best Practices
SharePoint Folders vs. Metadata Best PracticesSharePoint Folders vs. Metadata Best Practices
SharePoint Folders vs. Metadata Best Practices
Chris Woodill
 
Domain Driven Design (DDD)
Domain Driven Design (DDD)Domain Driven Design (DDD)
Domain Driven Design (DDD)
Tom Kocjan
 
Taxonomy 101: Presented at Taxonomy Boot Camp 2019
Taxonomy 101: Presented at Taxonomy Boot Camp 2019Taxonomy 101: Presented at Taxonomy Boot Camp 2019
Taxonomy 101: Presented at Taxonomy Boot Camp 2019
Enterprise Knowledge
 
Selecting Software for Taxonomy, Thesaurus and Ontology Management
Selecting Software for Taxonomy, Thesaurus and Ontology ManagementSelecting Software for Taxonomy, Thesaurus and Ontology Management
Selecting Software for Taxonomy, Thesaurus and Ontology Management
Heather Hedden
 
Data Governance and Metadata Management
Data Governance and Metadata ManagementData Governance and Metadata Management
Data Governance and Metadata Management
DATAVERSITY
 
CSS Comprehensive Overview
CSS Comprehensive OverviewCSS Comprehensive Overview
CSS Comprehensive Overview
Mohamed Loey
 
Contours of DITA 2.0
Contours of DITA 2.0Contours of DITA 2.0
Contours of DITA 2.0
Kristen Eberlein
 
Preparing For a Master Data Management Implemenation
Preparing For a Master Data Management ImplemenationPreparing For a Master Data Management Implemenation
Preparing For a Master Data Management Implemenation
Innovative_Systems
 
DITA Interoperability
DITA InteroperabilityDITA Interoperability
DITA Interoperability
Kristen Eberlein
 
Folksonomies & social tagging
Folksonomies & social taggingFolksonomies & social tagging
Folksonomies & social tagging
د. حسن مرسي
 
Oracle Analytics Cloud
Oracle Analytics CloudOracle Analytics Cloud
Oracle Analytics Cloud
Joseph Alaimo Jr
 
Taxonomy 101
Taxonomy 101Taxonomy 101
HTML
HTMLHTML
Successful Content Management Through Taxonomy And Metadata Design
Successful Content Management Through Taxonomy And Metadata DesignSuccessful Content Management Through Taxonomy And Metadata Design
Successful Content Management Through Taxonomy And Metadata Design
sarakirsten
 
Taxonomy Governance Through Metrics
Taxonomy Governance Through MetricsTaxonomy Governance Through Metrics
Taxonomy Governance Through Metrics
Tom Witczak
 
3 25 11 Term Store Best Practices
3 25 11 Term Store Best Practices3 25 11 Term Store Best Practices
3 25 11 Term Store Best Practices
puckmiller3
 
Magento powerpoint sample
Magento powerpoint sampleMagento powerpoint sample
Magento powerpoint sample
smtech002
 

What's hot (20)

Informatica PowerCenter
Informatica PowerCenterInformatica PowerCenter
Informatica PowerCenter
 
DITA and Metadata on an Enterprise Scale
DITA and Metadata on an Enterprise ScaleDITA and Metadata on an Enterprise Scale
DITA and Metadata on an Enterprise Scale
 
Domain Driven Design
Domain Driven DesignDomain Driven Design
Domain Driven Design
 
SharePoint Folders vs. Metadata Best Practices
SharePoint Folders vs. Metadata Best PracticesSharePoint Folders vs. Metadata Best Practices
SharePoint Folders vs. Metadata Best Practices
 
Domain Driven Design (DDD)
Domain Driven Design (DDD)Domain Driven Design (DDD)
Domain Driven Design (DDD)
 
Taxonomy 101: Presented at Taxonomy Boot Camp 2019
Taxonomy 101: Presented at Taxonomy Boot Camp 2019Taxonomy 101: Presented at Taxonomy Boot Camp 2019
Taxonomy 101: Presented at Taxonomy Boot Camp 2019
 
Selecting Software for Taxonomy, Thesaurus and Ontology Management
Selecting Software for Taxonomy, Thesaurus and Ontology ManagementSelecting Software for Taxonomy, Thesaurus and Ontology Management
Selecting Software for Taxonomy, Thesaurus and Ontology Management
 
Data Governance and Metadata Management
Data Governance and Metadata ManagementData Governance and Metadata Management
Data Governance and Metadata Management
 
CSS Comprehensive Overview
CSS Comprehensive OverviewCSS Comprehensive Overview
CSS Comprehensive Overview
 
Contours of DITA 2.0
Contours of DITA 2.0Contours of DITA 2.0
Contours of DITA 2.0
 
Preparing For a Master Data Management Implemenation
Preparing For a Master Data Management ImplemenationPreparing For a Master Data Management Implemenation
Preparing For a Master Data Management Implemenation
 
DITA Interoperability
DITA InteroperabilityDITA Interoperability
DITA Interoperability
 
Folksonomies & social tagging
Folksonomies & social taggingFolksonomies & social tagging
Folksonomies & social tagging
 
Oracle Analytics Cloud
Oracle Analytics CloudOracle Analytics Cloud
Oracle Analytics Cloud
 
Taxonomy 101
Taxonomy 101Taxonomy 101
Taxonomy 101
 
HTML
HTMLHTML
HTML
 
Successful Content Management Through Taxonomy And Metadata Design
Successful Content Management Through Taxonomy And Metadata DesignSuccessful Content Management Through Taxonomy And Metadata Design
Successful Content Management Through Taxonomy And Metadata Design
 
Taxonomy Governance Through Metrics
Taxonomy Governance Through MetricsTaxonomy Governance Through Metrics
Taxonomy Governance Through Metrics
 
3 25 11 Term Store Best Practices
3 25 11 Term Store Best Practices3 25 11 Term Store Best Practices
3 25 11 Term Store Best Practices
 
Magento powerpoint sample
Magento powerpoint sampleMagento powerpoint sample
Magento powerpoint sample
 

Viewers also liked

E-Commerce Taxonomies
E-Commerce TaxonomiesE-Commerce Taxonomies
E-Commerce Taxonomies
Jenny Benevento
 
User-Centered Information Architecture for e-commerce
User-Centered Information Architecture for e-commerceUser-Centered Information Architecture for e-commerce
User-Centered Information Architecture for e-commerce
Søren Engelbrecht
 
Taxonomy and UX lessons learned for e-commerce
Taxonomy and UX lessons learned for e-commerceTaxonomy and UX lessons learned for e-commerce
Taxonomy and UX lessons learned for e-commerce
Gary Carlson
 
Taxonomy Is User Experience
Taxonomy Is User ExperienceTaxonomy Is User Experience
Taxonomy Is User Experience
Dave Cooksey
 
Understanding Website Taxonomy
Understanding Website TaxonomyUnderstanding Website Taxonomy
Understanding Website Taxonomy
Iksula
 
Taxonomies and Metadata in Information Architecture
Taxonomies and Metadata in Information ArchitectureTaxonomies and Metadata in Information Architecture
Taxonomies and Metadata in Information Architecture
Access Innovations, Inc.
 
Starting a Taxonomy Project (Presented at SLA 2013 Conference)
Starting a Taxonomy Project (Presented at SLA 2013 Conference)Starting a Taxonomy Project (Presented at SLA 2013 Conference)
Starting a Taxonomy Project (Presented at SLA 2013 Conference)
Miraida Morales
 
Taming taxonomy—a practical intro
Taming taxonomy—a practical introTaming taxonomy—a practical intro
Taming taxonomy—a practical intro
Alberta Soranzo
 
Taxonomy Displays: Bridging UX & Taxonomy Design
Taxonomy Displays: Bridging UX & Taxonomy DesignTaxonomy Displays: Bridging UX & Taxonomy Design
Taxonomy Displays: Bridging UX & Taxonomy Design
Heather Hedden
 
Synonyms, Alternative Labels, and Nonpreferred Terms
Synonyms, Alternative Labels, and Nonpreferred TermsSynonyms, Alternative Labels, and Nonpreferred Terms
Synonyms, Alternative Labels, and Nonpreferred Terms
Heather Hedden
 
Webinar: The Innovator's Hypothesis by Michael Schrage
Webinar: The Innovator's Hypothesis by Michael SchrageWebinar: The Innovator's Hypothesis by Michael Schrage
Webinar: The Innovator's Hypothesis by Michael Schrage
businessforward
 
Ramaciotti digital media marketing 2012 9
Ramaciotti digital media marketing 2012 9Ramaciotti digital media marketing 2012 9
Ramaciotti digital media marketing 2012 9
Max Ramaciotti
 
Taxonomy Quality Assessment
Taxonomy Quality AssessmentTaxonomy Quality Assessment
Taxonomy Quality Assessment
Semantic Web Company
 
Alessandro Magnani, Data Scientist, @WalmartLabs at MLconf SF - 11/13/15
Alessandro Magnani, Data Scientist, @WalmartLabs at MLconf SF - 11/13/15Alessandro Magnani, Data Scientist, @WalmartLabs at MLconf SF - 11/13/15
Alessandro Magnani, Data Scientist, @WalmartLabs at MLconf SF - 11/13/15
MLconf
 
Webmining ppt
Webmining pptWebmining ppt
Webmining ppt
kiransatyawada
 
Product Taxonomy & Model Risk Management: 'Putting the Beans back into Coffee'
Product Taxonomy & Model Risk Management: 'Putting the Beans back into Coffee'Product Taxonomy & Model Risk Management: 'Putting the Beans back into Coffee'
Product Taxonomy & Model Risk Management: 'Putting the Beans back into Coffee'
Markus Krebsz
 
Linked Open Data and Systematic Taxonomy
Linked Open Data and Systematic TaxonomyLinked Open Data and Systematic Taxonomy
Linked Open Data and Systematic Taxonomy
Joel Richard
 
Open taxonomy
Open taxonomyOpen taxonomy
Open taxonomy
Roderic Page
 
Nothing in taxonomy makes sense except in the light of Open Access
Nothing in taxonomy makes sense except in the light of Open Access Nothing in taxonomy makes sense except in the light of Open Access
Nothing in taxonomy makes sense except in the light of Open Access
agosti
 
Open Research Data: Taxonomy
Open Research Data: TaxonomyOpen Research Data: Taxonomy
Open Research Data: Taxonomy
agosti
 

Viewers also liked (20)

E-Commerce Taxonomies
E-Commerce TaxonomiesE-Commerce Taxonomies
E-Commerce Taxonomies
 
User-Centered Information Architecture for e-commerce
User-Centered Information Architecture for e-commerceUser-Centered Information Architecture for e-commerce
User-Centered Information Architecture for e-commerce
 
Taxonomy and UX lessons learned for e-commerce
Taxonomy and UX lessons learned for e-commerceTaxonomy and UX lessons learned for e-commerce
Taxonomy and UX lessons learned for e-commerce
 
Taxonomy Is User Experience
Taxonomy Is User ExperienceTaxonomy Is User Experience
Taxonomy Is User Experience
 
Understanding Website Taxonomy
Understanding Website TaxonomyUnderstanding Website Taxonomy
Understanding Website Taxonomy
 
Taxonomies and Metadata in Information Architecture
Taxonomies and Metadata in Information ArchitectureTaxonomies and Metadata in Information Architecture
Taxonomies and Metadata in Information Architecture
 
Starting a Taxonomy Project (Presented at SLA 2013 Conference)
Starting a Taxonomy Project (Presented at SLA 2013 Conference)Starting a Taxonomy Project (Presented at SLA 2013 Conference)
Starting a Taxonomy Project (Presented at SLA 2013 Conference)
 
Taming taxonomy—a practical intro
Taming taxonomy—a practical introTaming taxonomy—a practical intro
Taming taxonomy—a practical intro
 
Taxonomy Displays: Bridging UX & Taxonomy Design
Taxonomy Displays: Bridging UX & Taxonomy DesignTaxonomy Displays: Bridging UX & Taxonomy Design
Taxonomy Displays: Bridging UX & Taxonomy Design
 
Synonyms, Alternative Labels, and Nonpreferred Terms
Synonyms, Alternative Labels, and Nonpreferred TermsSynonyms, Alternative Labels, and Nonpreferred Terms
Synonyms, Alternative Labels, and Nonpreferred Terms
 
Webinar: The Innovator's Hypothesis by Michael Schrage
Webinar: The Innovator's Hypothesis by Michael SchrageWebinar: The Innovator's Hypothesis by Michael Schrage
Webinar: The Innovator's Hypothesis by Michael Schrage
 
Ramaciotti digital media marketing 2012 9
Ramaciotti digital media marketing 2012 9Ramaciotti digital media marketing 2012 9
Ramaciotti digital media marketing 2012 9
 
Taxonomy Quality Assessment
Taxonomy Quality AssessmentTaxonomy Quality Assessment
Taxonomy Quality Assessment
 
Alessandro Magnani, Data Scientist, @WalmartLabs at MLconf SF - 11/13/15
Alessandro Magnani, Data Scientist, @WalmartLabs at MLconf SF - 11/13/15Alessandro Magnani, Data Scientist, @WalmartLabs at MLconf SF - 11/13/15
Alessandro Magnani, Data Scientist, @WalmartLabs at MLconf SF - 11/13/15
 
Webmining ppt
Webmining pptWebmining ppt
Webmining ppt
 
Product Taxonomy & Model Risk Management: 'Putting the Beans back into Coffee'
Product Taxonomy & Model Risk Management: 'Putting the Beans back into Coffee'Product Taxonomy & Model Risk Management: 'Putting the Beans back into Coffee'
Product Taxonomy & Model Risk Management: 'Putting the Beans back into Coffee'
 
Linked Open Data and Systematic Taxonomy
Linked Open Data and Systematic TaxonomyLinked Open Data and Systematic Taxonomy
Linked Open Data and Systematic Taxonomy
 
Open taxonomy
Open taxonomyOpen taxonomy
Open taxonomy
 
Nothing in taxonomy makes sense except in the light of Open Access
Nothing in taxonomy makes sense except in the light of Open Access Nothing in taxonomy makes sense except in the light of Open Access
Nothing in taxonomy makes sense except in the light of Open Access
 
Open Research Data: Taxonomy
Open Research Data: TaxonomyOpen Research Data: Taxonomy
Open Research Data: Taxonomy
 

Similar to Taxonomies for E-commerce

Agile BI Development Through Automation
Agile BI Development Through AutomationAgile BI Development Through Automation
Agile BI Development Through Automation
Manta Tools
 
Chapter 5 Barringer New Venture
Chapter 5 Barringer New VentureChapter 5 Barringer New Venture
Chapter 5 Barringer New Venture
ABSS8
 
12030141116 dell incc
12030141116 dell incc12030141116 dell incc
12030141116 dell incc
Yves-andré Mobiot
 
Choosing a new database
Choosing a new databaseChoosing a new database
Choosing a new database
Hazel Jennings
 
Domain Driven Design Introduction
Domain Driven Design IntroductionDomain Driven Design Introduction
Domain Driven Design Introduction
wojtek_s
 
How to successfully engage enterprise software vendors – software selection
How to successfully engage enterprise software vendors – software selectionHow to successfully engage enterprise software vendors – software selection
How to successfully engage enterprise software vendors – software selection
John Cachat
 
Assignment 10 The Good, the Bad, and the UglyInstructionsM.docx
Assignment 10 The Good, the Bad, and the UglyInstructionsM.docxAssignment 10 The Good, the Bad, and the UglyInstructionsM.docx
Assignment 10 The Good, the Bad, and the UglyInstructionsM.docx
trippettjettie
 
Can Reuse Be Sexy?
Can Reuse Be Sexy?Can Reuse Be Sexy?
Can Reuse Be Sexy?
Michael Priestley
 
Hackerting - how to manage an awesome startup blog
Hackerting - how to manage an awesome startup blogHackerting - how to manage an awesome startup blog
Hackerting - how to manage an awesome startup blog
Hackerting
 
Marketing Management Series 08
Marketing Management Series 08Marketing Management Series 08
Marketing Management Series 08
Jared Offei
 
Australian CIO Summit 2012: Bridging the Gap between CIO and the Board by Dav...
Australian CIO Summit 2012: Bridging the Gap between CIO and the Board by Dav...Australian CIO Summit 2012: Bridging the Gap between CIO and the Board by Dav...
Australian CIO Summit 2012: Bridging the Gap between CIO and the Board by Dav...
IT Network marcus evans
 
Adobe presentation-2-2
Adobe presentation-2-2Adobe presentation-2-2
Adobe presentation-2-2
Nikita Nikitin
 
Michael Dell
Michael DellMichael Dell
Michael Dell
Jigs Dave
 
Business Intelligence Data Warehouse System
Business Intelligence Data Warehouse SystemBusiness Intelligence Data Warehouse System
Business Intelligence Data Warehouse System
Kiran kumar
 
Everything Data in Business, Government & Institutional Markets
Everything Data in Business, Government & Institutional MarketsEverything Data in Business, Government & Institutional Markets
Everything Data in Business, Government & Institutional Markets
Vivastream
 
05 Business Models for E-commerce slides
05 Business Models for E-commerce slides05 Business Models for E-commerce slides
05 Business Models for E-commerce slides
monchai sopitka
 
Advanced Content Targeting & Personalization Within the Digital Experience Us...
Advanced Content Targeting & Personalization Within the Digital Experience Us...Advanced Content Targeting & Personalization Within the Digital Experience Us...
Advanced Content Targeting & Personalization Within the Digital Experience Us...
Perficient, Inc.
 
Getting SEO & Social Media Alignment Inside Your Organization by Warren Lee
Getting SEO & Social Media Alignment Inside Your Organization by Warren LeeGetting SEO & Social Media Alignment Inside Your Organization by Warren Lee
Getting SEO & Social Media Alignment Inside Your Organization by Warren Lee
Search Marketing Expo - SMX
 
Business Architecture - The Rise and Fall of Smart Retail
Business Architecture - The Rise and Fall of Smart RetailBusiness Architecture - The Rise and Fall of Smart Retail
Business Architecture - The Rise and Fall of Smart Retail
Richard Veryard
 
Marketing Research - Perceptual Map
Marketing Research - Perceptual MapMarketing Research - Perceptual Map
Marketing Research - Perceptual Map
Minha Hwang
 

Similar to Taxonomies for E-commerce (20)

Agile BI Development Through Automation
Agile BI Development Through AutomationAgile BI Development Through Automation
Agile BI Development Through Automation
 
Chapter 5 Barringer New Venture
Chapter 5 Barringer New VentureChapter 5 Barringer New Venture
Chapter 5 Barringer New Venture
 
12030141116 dell incc
12030141116 dell incc12030141116 dell incc
12030141116 dell incc
 
Choosing a new database
Choosing a new databaseChoosing a new database
Choosing a new database
 
Domain Driven Design Introduction
Domain Driven Design IntroductionDomain Driven Design Introduction
Domain Driven Design Introduction
 
How to successfully engage enterprise software vendors – software selection
How to successfully engage enterprise software vendors – software selectionHow to successfully engage enterprise software vendors – software selection
How to successfully engage enterprise software vendors – software selection
 
Assignment 10 The Good, the Bad, and the UglyInstructionsM.docx
Assignment 10 The Good, the Bad, and the UglyInstructionsM.docxAssignment 10 The Good, the Bad, and the UglyInstructionsM.docx
Assignment 10 The Good, the Bad, and the UglyInstructionsM.docx
 
Can Reuse Be Sexy?
Can Reuse Be Sexy?Can Reuse Be Sexy?
Can Reuse Be Sexy?
 
Hackerting - how to manage an awesome startup blog
Hackerting - how to manage an awesome startup blogHackerting - how to manage an awesome startup blog
Hackerting - how to manage an awesome startup blog
 
Marketing Management Series 08
Marketing Management Series 08Marketing Management Series 08
Marketing Management Series 08
 
Australian CIO Summit 2012: Bridging the Gap between CIO and the Board by Dav...
Australian CIO Summit 2012: Bridging the Gap between CIO and the Board by Dav...Australian CIO Summit 2012: Bridging the Gap between CIO and the Board by Dav...
Australian CIO Summit 2012: Bridging the Gap between CIO and the Board by Dav...
 
Adobe presentation-2-2
Adobe presentation-2-2Adobe presentation-2-2
Adobe presentation-2-2
 
Michael Dell
Michael DellMichael Dell
Michael Dell
 
Business Intelligence Data Warehouse System
Business Intelligence Data Warehouse SystemBusiness Intelligence Data Warehouse System
Business Intelligence Data Warehouse System
 
Everything Data in Business, Government & Institutional Markets
Everything Data in Business, Government & Institutional MarketsEverything Data in Business, Government & Institutional Markets
Everything Data in Business, Government & Institutional Markets
 
05 Business Models for E-commerce slides
05 Business Models for E-commerce slides05 Business Models for E-commerce slides
05 Business Models for E-commerce slides
 
Advanced Content Targeting & Personalization Within the Digital Experience Us...
Advanced Content Targeting & Personalization Within the Digital Experience Us...Advanced Content Targeting & Personalization Within the Digital Experience Us...
Advanced Content Targeting & Personalization Within the Digital Experience Us...
 
Getting SEO & Social Media Alignment Inside Your Organization by Warren Lee
Getting SEO & Social Media Alignment Inside Your Organization by Warren LeeGetting SEO & Social Media Alignment Inside Your Organization by Warren Lee
Getting SEO & Social Media Alignment Inside Your Organization by Warren Lee
 
Business Architecture - The Rise and Fall of Smart Retail
Business Architecture - The Rise and Fall of Smart RetailBusiness Architecture - The Rise and Fall of Smart Retail
Business Architecture - The Rise and Fall of Smart Retail
 
Marketing Research - Perceptual Map
Marketing Research - Perceptual MapMarketing Research - Perceptual Map
Marketing Research - Perceptual Map
 

More from Heather Hedden

Introduction to Knowledge Graphs for Information Architects.pdf
Introduction to Knowledge Graphs for Information Architects.pdfIntroduction to Knowledge Graphs for Information Architects.pdf
Introduction to Knowledge Graphs for Information Architects.pdf
Heather Hedden
 
Benefits of Taxonomies
Benefits of TaxonomiesBenefits of Taxonomies
Benefits of Taxonomies
Heather Hedden
 
Thesauri for Indexing Support / Thesauri zur Unterstützung der Registererstel...
Thesauri for Indexing Support / Thesauri zur Unterstützung der Registererstel...Thesauri for Indexing Support / Thesauri zur Unterstützung der Registererstel...
Thesauri for Indexing Support / Thesauri zur Unterstützung der Registererstel...
Heather Hedden
 
Taxonomies in Support of Search
Taxonomies in Support of SearchTaxonomies in Support of Search
Taxonomies in Support of Search
Heather Hedden
 
A Brief Introduction to SKOS
A Brief Introduction to SKOSA Brief Introduction to SKOS
A Brief Introduction to SKOS
Heather Hedden
 
Mapping Taxonomies, Thesauri, and Ontologies
Mapping Taxonomies, Thesauri, and OntologiesMapping Taxonomies, Thesauri, and Ontologies
Mapping Taxonomies, Thesauri, and Ontologies
Heather Hedden
 
A Brief Introduction to Knowledge Graphs
A Brief Introduction to Knowledge GraphsA Brief Introduction to Knowledge Graphs
A Brief Introduction to Knowledge Graphs
Heather Hedden
 
Managing Taxonomy Tagging
Managing Taxonomy TaggingManaging Taxonomy Tagging
Managing Taxonomy Tagging
Heather Hedden
 
Taxonomies, Categories, and Tags in WordPress
Taxonomies, Categories, and Tags in WordPressTaxonomies, Categories, and Tags in WordPress
Taxonomies, Categories, and Tags in WordPress
Heather Hedden
 
Customer-Focused Thesauri
Customer-Focused ThesauriCustomer-Focused Thesauri
Customer-Focused Thesauri
Heather Hedden
 
Managing Mature Taxonomies: Resolving Orphan Terms
Managing Mature Taxonomies: Resolving Orphan TermsManaging Mature Taxonomies: Resolving Orphan Terms
Managing Mature Taxonomies: Resolving Orphan Terms
Heather Hedden
 
Testing Taxonomies
Testing TaxonomiesTesting Taxonomies
Testing Taxonomies
Heather Hedden
 
Mapping, Merging, and Multilingual Taxonomies
Mapping, Merging, and Multilingual TaxonomiesMapping, Merging, and Multilingual Taxonomies
Mapping, Merging, and Multilingual Taxonomies
Heather Hedden
 
Taxonomies and Folksonomies
Taxonomies and FolksonomiesTaxonomies and Folksonomies
Taxonomies and Folksonomies
Heather Hedden
 
Taxonomies for Text Analytics and Auto-indexing
Taxonomies for Text Analytics and Auto-indexingTaxonomies for Text Analytics and Auto-indexing
Taxonomies for Text Analytics and Auto-indexing
Heather Hedden
 
Making Decisions in Creating Taxonomies
Making Decisions in Creating TaxonomiesMaking Decisions in Creating Taxonomies
Making Decisions in Creating Taxonomies
Heather Hedden
 
Taxonomies for Human vs Auto-Indexing
Taxonomies for Human vs Auto-IndexingTaxonomies for Human vs Auto-Indexing
Taxonomies for Human vs Auto-Indexing
Heather Hedden
 

More from Heather Hedden (17)

Introduction to Knowledge Graphs for Information Architects.pdf
Introduction to Knowledge Graphs for Information Architects.pdfIntroduction to Knowledge Graphs for Information Architects.pdf
Introduction to Knowledge Graphs for Information Architects.pdf
 
Benefits of Taxonomies
Benefits of TaxonomiesBenefits of Taxonomies
Benefits of Taxonomies
 
Thesauri for Indexing Support / Thesauri zur Unterstützung der Registererstel...
Thesauri for Indexing Support / Thesauri zur Unterstützung der Registererstel...Thesauri for Indexing Support / Thesauri zur Unterstützung der Registererstel...
Thesauri for Indexing Support / Thesauri zur Unterstützung der Registererstel...
 
Taxonomies in Support of Search
Taxonomies in Support of SearchTaxonomies in Support of Search
Taxonomies in Support of Search
 
A Brief Introduction to SKOS
A Brief Introduction to SKOSA Brief Introduction to SKOS
A Brief Introduction to SKOS
 
Mapping Taxonomies, Thesauri, and Ontologies
Mapping Taxonomies, Thesauri, and OntologiesMapping Taxonomies, Thesauri, and Ontologies
Mapping Taxonomies, Thesauri, and Ontologies
 
A Brief Introduction to Knowledge Graphs
A Brief Introduction to Knowledge GraphsA Brief Introduction to Knowledge Graphs
A Brief Introduction to Knowledge Graphs
 
Managing Taxonomy Tagging
Managing Taxonomy TaggingManaging Taxonomy Tagging
Managing Taxonomy Tagging
 
Taxonomies, Categories, and Tags in WordPress
Taxonomies, Categories, and Tags in WordPressTaxonomies, Categories, and Tags in WordPress
Taxonomies, Categories, and Tags in WordPress
 
Customer-Focused Thesauri
Customer-Focused ThesauriCustomer-Focused Thesauri
Customer-Focused Thesauri
 
Managing Mature Taxonomies: Resolving Orphan Terms
Managing Mature Taxonomies: Resolving Orphan TermsManaging Mature Taxonomies: Resolving Orphan Terms
Managing Mature Taxonomies: Resolving Orphan Terms
 
Testing Taxonomies
Testing TaxonomiesTesting Taxonomies
Testing Taxonomies
 
Mapping, Merging, and Multilingual Taxonomies
Mapping, Merging, and Multilingual TaxonomiesMapping, Merging, and Multilingual Taxonomies
Mapping, Merging, and Multilingual Taxonomies
 
Taxonomies and Folksonomies
Taxonomies and FolksonomiesTaxonomies and Folksonomies
Taxonomies and Folksonomies
 
Taxonomies for Text Analytics and Auto-indexing
Taxonomies for Text Analytics and Auto-indexingTaxonomies for Text Analytics and Auto-indexing
Taxonomies for Text Analytics and Auto-indexing
 
Making Decisions in Creating Taxonomies
Making Decisions in Creating TaxonomiesMaking Decisions in Creating Taxonomies
Making Decisions in Creating Taxonomies
 
Taxonomies for Human vs Auto-Indexing
Taxonomies for Human vs Auto-IndexingTaxonomies for Human vs Auto-Indexing
Taxonomies for Human vs Auto-Indexing
 

Recently uploaded

Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...
Bert Blevins
 
DealBook of Ukraine: 2024 edition
DealBook of Ukraine: 2024 editionDealBook of Ukraine: 2024 edition
DealBook of Ukraine: 2024 edition
Yevgen Sysoyev
 
Calgary MuleSoft Meetup APM and IDP .pptx
Calgary MuleSoft Meetup APM and IDP .pptxCalgary MuleSoft Meetup APM and IDP .pptx
Calgary MuleSoft Meetup APM and IDP .pptx
ishalveerrandhawa1
 
Three New Criminal Laws in India 1 July 2024
Three New Criminal Laws in India 1 July 2024Three New Criminal Laws in India 1 July 2024
Three New Criminal Laws in India 1 July 2024
aakash malhotra
 
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptxUse Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
SynapseIndia
 
Evolution of iPaaS - simplify IT workloads to provide a unified view of data...
Evolution of iPaaS - simplify IT workloads to provide a unified view of  data...Evolution of iPaaS - simplify IT workloads to provide a unified view of  data...
Evolution of iPaaS - simplify IT workloads to provide a unified view of data...
Torry Harris
 
Best Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdfBest Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdf
Tatiana Al-Chueyr
 
Applying Retrieval-Augmented Generation (RAG) to Combat Hallucinations in GenAI
Applying Retrieval-Augmented Generation (RAG) to Combat Hallucinations in GenAIApplying Retrieval-Augmented Generation (RAG) to Combat Hallucinations in GenAI
Applying Retrieval-Augmented Generation (RAG) to Combat Hallucinations in GenAI
ssuserd4e0d2
 
Tirana Tech Meetup - Agentic RAG with Milvus, Llama3 and Ollama
Tirana Tech Meetup - Agentic RAG with Milvus, Llama3 and OllamaTirana Tech Meetup - Agentic RAG with Milvus, Llama3 and Ollama
Tirana Tech Meetup - Agentic RAG with Milvus, Llama3 and Ollama
Zilliz
 
WPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide DeckWPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide Deck
Lidia A.
 
Data Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining DataData Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining Data
Safe Software
 
Comparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdfComparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdf
Andrey Yasko
 
ARTIFICIAL INTELLIGENCE (AI) IN MUSIC.pdf
ARTIFICIAL INTELLIGENCE (AI) IN MUSIC.pdfARTIFICIAL INTELLIGENCE (AI) IN MUSIC.pdf
ARTIFICIAL INTELLIGENCE (AI) IN MUSIC.pdf
Inglês no Mundo Digital
 
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
Priyanka Aash
 
IPLOOK Remote-Sensing Satellite Solution
IPLOOK Remote-Sensing Satellite SolutionIPLOOK Remote-Sensing Satellite Solution
IPLOOK Remote-Sensing Satellite Solution
IPLOOK Networks
 
Password Rotation in 2024 is still Relevant
Password Rotation in 2024 is still RelevantPassword Rotation in 2024 is still Relevant
Password Rotation in 2024 is still Relevant
Bert Blevins
 
Salesforce AI & Einstein Copilot Workshop
Salesforce AI & Einstein Copilot WorkshopSalesforce AI & Einstein Copilot Workshop
Salesforce AI & Einstein Copilot Workshop
CEPTES Software Inc
 
Pigging Unit Lubricant Oil Blending Plant
Pigging Unit Lubricant Oil Blending PlantPigging Unit Lubricant Oil Blending Plant
Pigging Unit Lubricant Oil Blending Plant
LINUS PROJECTS (INDIA)
 
Implementations of Fused Deposition Modeling in real world
Implementations of Fused Deposition Modeling  in real worldImplementations of Fused Deposition Modeling  in real world
Implementations of Fused Deposition Modeling in real world
Emerging Tech
 
July Patch Tuesday
July Patch TuesdayJuly Patch Tuesday
July Patch Tuesday
Ivanti
 

Recently uploaded (20)

Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...
 
DealBook of Ukraine: 2024 edition
DealBook of Ukraine: 2024 editionDealBook of Ukraine: 2024 edition
DealBook of Ukraine: 2024 edition
 
Calgary MuleSoft Meetup APM and IDP .pptx
Calgary MuleSoft Meetup APM and IDP .pptxCalgary MuleSoft Meetup APM and IDP .pptx
Calgary MuleSoft Meetup APM and IDP .pptx
 
Three New Criminal Laws in India 1 July 2024
Three New Criminal Laws in India 1 July 2024Three New Criminal Laws in India 1 July 2024
Three New Criminal Laws in India 1 July 2024
 
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptxUse Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
 
Evolution of iPaaS - simplify IT workloads to provide a unified view of data...
Evolution of iPaaS - simplify IT workloads to provide a unified view of  data...Evolution of iPaaS - simplify IT workloads to provide a unified view of  data...
Evolution of iPaaS - simplify IT workloads to provide a unified view of data...
 
Best Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdfBest Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdf
 
Applying Retrieval-Augmented Generation (RAG) to Combat Hallucinations in GenAI
Applying Retrieval-Augmented Generation (RAG) to Combat Hallucinations in GenAIApplying Retrieval-Augmented Generation (RAG) to Combat Hallucinations in GenAI
Applying Retrieval-Augmented Generation (RAG) to Combat Hallucinations in GenAI
 
Tirana Tech Meetup - Agentic RAG with Milvus, Llama3 and Ollama
Tirana Tech Meetup - Agentic RAG with Milvus, Llama3 and OllamaTirana Tech Meetup - Agentic RAG with Milvus, Llama3 and Ollama
Tirana Tech Meetup - Agentic RAG with Milvus, Llama3 and Ollama
 
WPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide DeckWPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide Deck
 
Data Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining DataData Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining Data
 
Comparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdfComparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdf
 
ARTIFICIAL INTELLIGENCE (AI) IN MUSIC.pdf
ARTIFICIAL INTELLIGENCE (AI) IN MUSIC.pdfARTIFICIAL INTELLIGENCE (AI) IN MUSIC.pdf
ARTIFICIAL INTELLIGENCE (AI) IN MUSIC.pdf
 
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
(CISOPlatform Summit & SACON 2024) Keynote _ Power Digital Identities With AI...
 
IPLOOK Remote-Sensing Satellite Solution
IPLOOK Remote-Sensing Satellite SolutionIPLOOK Remote-Sensing Satellite Solution
IPLOOK Remote-Sensing Satellite Solution
 
Password Rotation in 2024 is still Relevant
Password Rotation in 2024 is still RelevantPassword Rotation in 2024 is still Relevant
Password Rotation in 2024 is still Relevant
 
Salesforce AI & Einstein Copilot Workshop
Salesforce AI & Einstein Copilot WorkshopSalesforce AI & Einstein Copilot Workshop
Salesforce AI & Einstein Copilot Workshop
 
Pigging Unit Lubricant Oil Blending Plant
Pigging Unit Lubricant Oil Blending PlantPigging Unit Lubricant Oil Blending Plant
Pigging Unit Lubricant Oil Blending Plant
 
Implementations of Fused Deposition Modeling in real world
Implementations of Fused Deposition Modeling  in real worldImplementations of Fused Deposition Modeling  in real world
Implementations of Fused Deposition Modeling in real world
 
July Patch Tuesday
July Patch TuesdayJuly Patch Tuesday
July Patch Tuesday
 

Taxonomies for E-commerce

  • 1. Taxonomies for E-Commerce Best practices and design challenges Heather Hedden Taxonomy Consultant Hedden Information Management Gilbane Conference, Boston, November 29, 2012
  • 2. About Heather Hedden • Independent taxonomy consultant, Hedden Information Management • Continuing education online workshop instructor, Simmons College Graduate School of Library and Information Science • Author of The Accidental Taxonomist (Information Today, Inc., 2010) • Previously – employed taxonomy consultant – in-house taxonomy manager – publishing company vocabulary editor – taxonomist for enterprise search tool vendor – indexer © 2012 Hedden Information Management 2
  • 3. Introduction to Taxonomies A Taxonomy… • An authoritative, restricted list of terms/names/labels/categories • Each term is for a single unambiguous concept • Governed by policies for who, when, and how new terms can be added • Arranged in some (hierarchical) structure or groupings • Supports indexing/tagging/categorizing/metadata management of content • Facilitates retrieval/findability in both browsing and searching © 2012 Hedden Information Management 3
  • 4. Introduction to E-Commerce Taxonomies Typical characteristics of retail/ecommerce taxonomies: • Separate hierarchy for each department or broad product category. Typically 5 – 20 top categories/hierarchies Typical hierarchy depth of 3-4 levels Typically 3 – 20 terms/subcategories per level • May also have facets, typically at deeper hierarchy levels. • Ordering is not always alphabetical, rather popular or logical. © 2012 Hedden Information Management 4
  • 5. 16 Hierarchies 17 12 14 11+ 10+ © 2012 Hedden Information Management 5
  • 6. Subcategories in Hierarchies © 2012 Hedden Information Management 6
  • 7. Facets Facets = Attributes = Dimensions = Refinements = Filters = Limit by • Facets are for narrowing category sets that are similar and support the same kinds of attributes. • Facets work well for retail products that are sufficiently similar: all shoes, all luggage, all laptop computers. • Facets may: – be the only type of taxonomy on a specialized retail site – appear at lower (more specific) category hierarchy levels of a general retail site. – appear after executing a search © 2012 Hedden Information Management 7
  • 8. Facets © 2012 Hedden Information Management 8
  • 9. Facets 9 © 2012 Hedden Information Management 9
  • 10. E-Commerce Taxonomy Design Challenges 1. Distinguishing a subcategory from a facet value 2. Different categorization methods and category cross-overs 3. Related items and accessories 4. Sort order options: alphabetically or not 5. Competitor website comparisons 6. Web site vs. physical store organization 7. Business needs vs. taxonomy standards/best practices © 2012 Hedden Information Management 10
  • 11. Challenge 1. Subcategory vs. Facet Value Categories and subcategories are: • Things, products, nouns, items that can stand by themselves • e.g. Sweater Facets and their values are: • Characteristics, descriptions, adjectives, dimensions of things, which do not stand by themselves • e.g. Blue © 2012 Hedden Information Management 11
  • 12. Challenge 1. Subcategory vs. Facet Value Problem: Modifier + Noun Example: Flannel Shirts Should it be: Category: Noun Shirts Subcategory: Modifier + Noun > Flannel Shirts OR should it be: Category: Noun Category: Shirts Facet value: Modifier Fabric (facet): Flannel © 2012 Hedden Information Management 12
  • 13. Challenge 1. Subcategory vs. Facet Value Considerations: • Is the modifier an obvious value of an facet? Do customers consider Flannel a kind of fabric or a subtype of shirt? • Are there other products (other than shirts) in the same website that also have this modifier (such as flannel sleepwear)? • Is the list of facets already quite long? • Are the levels of subcategories already deep enough? © 2012 Hedden Information Management 13
  • 14. Challenge 2. Categorization and Cross-Overs Multiple categorization examples: • Women’s Shoes – in Women’s Clothing; in Shoes • Office Furniture – in Office Products; in Furniture Cross-over product examples: • Home Theater – in TV/Video; in Audio/Stereo • Printer-Scanner-Faxes – in Printers; in Scanners; in Fax Machines © 2012 Hedden Information Management 14
  • 15. Challenge 2. Categorization and Cross-Overs Put in both locations – Polyhierarchy OK, but… • Too much polyhierarchy confuses the tree structure. Polyhierarchies work better for specific terms/categories at the lowest level or second-lowest with small sub-hierarchies, (e.g. Fitness GPS Watches in GPS Systems, in Portable Fitness Electronics, and in Watches), not large hierarchy branches. • Systems may not fully support polyhierarchy • Breadcrumb trail may be only a fixed path, not dynamic/not user’s path. © 2012 Hedden Information Management 15
  • 16. Challenge 2. Categorization and Cross-Overs Breadcrumb trail may not reflect the user’s navigation path, but rather only the other, one fixed hierarchy, path of the polyhierarchy. © 2012 Hedden Information Management 16
  • 17. Challenge 3. Related Items • E-Commerce Taxonomies tend to be simple hierarchical. They usually don’t have “related terms” relationships. • Individual products (SKUs) can be manually related. • Product categories (taxonomy terms) are usually not related. Special cases: • Accessories to products • Related services Examples: • Accessories to Products: Camera Accessories • Related Services: Delivery and Setup/Installation Services © 2012 Hedden Information Management 17
  • 18. Challenge 3. Related Items Issue: Where to put related items in an hierarchical-only taxonomy – As narrower terms – In a separate hierarchy – Both © 2012 Hedden Information Management 18
  • 19. Challenge 3. Related Items Related accessories narrower terms: Whether to rename the parent category to include related accessories Computers or Computers & Accessories . Laptop Computers . Laptop Computers . Desktop Computers . Desktop Computers . iPad, Tablet & eReaders . iPad, Tablet & eReaders . Monitors . Monitors . Mice & Keyboards . Mice & Keyboards . Printers & Scanners . Printers & Scanners . Computer Memory . Computer Memory . Computer Components . Computer Components . Computer Accessories . Computer Accessories © 2012 Hedden Information Management 19
  • 20. Challenge 3. Related Items Related services listed as a narrower term under products © 2012 Hedden Information Management 20
  • 21. Challenge 3. Related Items Related items and services listed in a separate hierarchy 21 © 2012 Hedden Information Management 21
  • 22. Challenge 4. Display Sort Order Choice Could be alphabetical or could be “logical” © 2012 Hedden Information Management 22
  • 23. Challenge 5. Comparing with Competitors 1. Need to distinguish comparing design with comparing content organization. 2. There may not be a 100% identical competitor. Each retailer has a slightly different focus. – Target – general, but no major appliances – Sears – general, plus automotive parts – Walmart – general, plus pharmacy – Best Buy – electronics focus, plus appliances, furniture, etc. – Sam’s Club – general, no clothing; plus pharmacy & grocery – Amazon – book and media focus; plus everything else 3. Brand retailers (e.g. clothing) try to differentiate themselves. © 2012 Hedden Information Management 23
  • 24. Challenge 6. Comparing with Physical Stores There may be a push to organize the product taxonomy in conformity with store layout and organization. • Loyal customers might understand it. • But are customers divided by store loyalty or by physical store vs. online shoppers? Factors may be unique to physical stores: • Newest/hottest products at the entrance • Small accessories in the checkout lines • Larger items in the back • Use of aisle end-caps for featured items • Creative use of physical space © 2012 Hedden Information Management 24
  • 25. Challenge 7. Business Needs vs. Best Practices Possible taxonomy requests for “business needs” that challenge taxonomy standards or best practices: • Creating new top level categories for relatively small, hot categories, that belong under existing top categories • Creating multiple polyhierarchies for a product category to help promote it • Creating intermediate level categories to group and promote related subcategories, not to serve navigation © 2012 Hedden Information Management 25
  • 26. Challenge 7. Business Needs vs. Best Practices Solution to taxonomy requests for “business needs” that challenge taxonomy standards or best practices: Create more than one navigation path 1. Accurate hierarchies (such as in left-hand margin) 2. Promotional categories (in central space) Create a “featured” category that is manually maintained © 2012 Hedden Information Management 26
  • 27. Challenge 7. Business Needs vs. Best Practices • List of next level categories may differ in the true taxonomy of the left hand navigation, compared with the central area. © 2012 Hedden Information Management 27
  • 28. 28 Please change this text in the masterHedden Information Management © 2012 templates 28
  • 29. Conclusions • Product taxonomies are not as simple to create as expected. • Taxonomy design may be under constraints. • Business needs can challenge taxonomy standards. • Creative solutions may be needed. • Consider customer perspectives, use cases, and scenarios. © 2012 Hedden Information Management 29
  • 30. Questions/Contact Heather Hedden Hedden Information Management Carlisle, MA heather@hedden.net www.hedden-information.com www.accidental-taxonomist.blogspot.com www.linkedin.com/in/hedden Twitter: @hhedden 978-467-5195 © 2012 Hedden Information Management 30