SlideShare a Scribd company logo
How Search 2.0 Has
Been Redefined by
  Enterprise 2.0
          Carl Frappaolo
    Information Architected, Inc.
62% of corporate users
believe that finding information inside the
  firewall needed to execute their job is
       difficult and time consuming.
82% believe experience with thefor
consumer web has created demand
     improved enterprise search
1
Search
Web 2.0 = E2.0
Karina Meiri <karina.meiri@tufts.edu>




                                        6
Why Isn’t Search Enough?
56% have
   no strategy
for enterprise search
1
17
18
(ECMs)
                           SEARCH
                                        E-Mail &
           Intranet(s)                 Attachments
                                         SEARCH
            SEARCH




    Web/
                         Information               Online
Enterprise 2.o
                          Workplace               Libraries
   SEARCH                                         SEARCH




            Desktop
                 Files                  BPM Logs
             SEARCH
                            ERP          SEARCH

                           SEARCH
                                                              12
Karina Meiri <karina.meiri@tufts.edu>




                                        13
Its NOT Search
- Its Findability
Findability
                                          Structure, meaning
Needs,behaviors                           Document/data types,content
Information needs, audience types,        objects, meta-information, existing
expertise, experience,tasks,              structure, future structure, volume
information seeking
behaviors



                Community                  Content

                                     IA
Culture, technology
Business models & goals,
Corporate culture, technology,
funding, politics, resources,
                                 Context
constraints
Only 15%      feel findability as
opposed to “search” is understood and
 addressed within their organization.
What is Information Architecture?
IA is the art and science of structuring
  organizing, and labeling information to
  help people find and manage information
                    Browsing Aids


     Information         Enabling
                         Components
     Architecture
                         Content & Tasks

                       Search Aids

                                           Rosenfeld & Morville
Phase 1               Phase 2                Phase 3                  Phase 4                   Phase 5


  Research                   Strategy              Design                 Implementation             Administration



Review existing      Create conceptual     Transform high-level   Build, Test, Launch      Evaluate & Improve
materials to         framework for         strategy into an IA
gain high-level      Structuring &                                Includes:                Day to Day Maintenance:
understanding of     organizing web site                          − Organizing & Tagging   (effort required tied directly
goals/business       High-level            The most “work”          Documents              to content churn)
context, existing                          happens here:          − Testing                − Select & Evaluate new
IA, content, &       Recommends:           − Controlled vocabs.   − Troubleshooting         content
Intended audiences   − IA Administration   − Taxonomies           − Developing             − Classification management
                     − Technology          − Thesauri               Documentation          − Indexing management
Meetings with          Integration         − Metadata schema      − Developing Training    − CV & Thesauri management
strategy team,       − Top-down vs         − Blueprints             Programs
content owners,        Bottom-up           − Wireframes                                    Periodic Evaluation/Updates
IT, users,           − Organization &
stakeholders          Labeling Systems                                                     Continuous Evaluation &
                     − Doc Type ID                                                         Improvement
                     − Metadata field
                      Definitions
                     − Navigation System
                      Design
Users
Who are they?
Which audiences are the most important?
What motivates them to come to
this site?
What do they want from this site?
What do they need from this site?
How do they navigate?
What terms do they use to
search, browse, and
 classify information?
What are their most important
information needs?
Content
How do I get my arms around the content we have?
What content has value?
What content can I get rid of?
How do I make answers emerge from content?
How should content be
organized and labeled?
What is this content object?
How can I describe it?
What distinguishes it
from other content objects?
How can I make it findable?
Context
  Who in this organization makes the decisions?
What are the primary business goals and objectives
  for increased findability?
What does the decision-maker want from the site?
What political and cultural factors might impact
 the architecture?
What similar initiatives
 have worked in the past?
What similar initiatives have
 failed in the past and why?
What resources (people,
technology, time, $$$)
 are available?
How will the architecture be
maintained?
Needles & Haystacks
                               Needles & haystacks
   •!   A known needle in a known haystack
   •!   A known needle in an unknown haystack
   •!
   •!
                               Needles & Haystacks
        An unknown needle in an unknown haystack
        Any needle in a haystack
   •!   The sharpest needle in a haystack
   •!   Most of the sharpest needles in a haystack
   •!   All of the needles in a haystack
   •!   Affirmation of no needles in any haystack
   •!   Things like needles in any haystack
   •!   Let me know whenever a new needle shows up
   •!   Where are the haystacks?
   •!   Needles, haystacks - whatever

        End game of IR is finding whatever needle/
        haystack you are looking for - whether you know it
        exists or not...
Delphi Group • 10 Post Office Square • Boston, MA 02109-4603 • (617) 247-1511v (617) 247-4957f • www.delphigroup.com
©2005 Delphi Group, A Perot Systems Company                                                                            Dr. Mathew Koll
Putting Together a Stratgey and Design
   Top-Down vs. Bottom-Up
Organizational Schemes
Exact Schemes: divide information into well-defined and
mutually exclusive sections (easy to design, maintain, and use)
  –Alphabetical
  –Chronological
  –Geographical
Ambiguous Schemes: divide information into categories
that defy exact definition (difficult to design & maintain, can be
difficult to use. Supports process of associative learning by
grouping items in intellectually meaningful ways)
    –Topic or Subject
    –Task-oriented
    –Audience
Search
 Federated/Universal
Search Zones
Agents
Parametric / Hybrids
   Sharing tags
Analytics and Suggestions
Relevancy Ranking
Relevancy Ranking

Date
(Weighted) Term Summing
Omni-term skewing
Term density and proximity
Links and conections
Analytics (Explicit and Implicit)
User preferences and affiliations
Dynamic/User controlled?
Types of Controlled Vocabularies
                                                    cuisinart
                                                                  cuizinart
                                      Kitchen aid


 •Synonym ring                         kitchenaid
                                                 Food processor
                                                               blender




 •Authority files                CT Connecticut, Con, Conn, Conneticut
                                 LA Louisiana, Loosiana, Louanna




 •Classification
 Schemes

 •Thesaurus
                                           Wine (BT)


                        Bubbly (VT)    Sparkling Wine           Champagne (VT)
                                            (PT)
                      Weddings (RT)   Brut Champagne            Mimosas (RT)
                                            (NT)



 •Ontologies
Search Brings Results... TOO MANY Wrong Results

                                          Potential
                                           Answer
                                                      Enterprise             Potential       Potential      Potential
                                                                              Answer          Answer         Answer
                                                       Content                                        The
        You               Search                                                                     Answer
                                                 Potential     Potential   Potential     Potential   Potential Potential
                                                  Answer        Answer      Answer        Answer      Answer Answer




                                                 Elapsed time:
                                                    Hours
1. You Search                                                     4. Check 2nd result
                                                                  Not the right answer
                2. You Find MANY hits
                                                                  ... Check ### result
                                        3. Check 1st result       Not the right answer
                                        Not the right answer                                 Later that day:
                                                                  ... Check ### result
                                                                                             Did I get the right
                                                                  Not the right answer
                                                                                             answer?
                                                                  ... Check ### result       Did the opportunity pass
                                                                  Not the right answer       us by?
                                                                  ... Check ### result       Is this the most current
                                                                  Not the right answer       information?

                                                                  ?!@^%$!
Findability Guides the User to Find THE Answer
                                  Potential
                                   Answer                                   Potential                      Potential




                                                                          Tax




                                                                                               An
                                                    Potential                Answer                         Answer



                               Inte




                                                    Sea
                                                                                                                          The




                                                                                                aly
                                                                             o
                                                     Answer
         You




                                                                           nom
                                                        rch
                                 rfa




                                                                                                    tics
                                                                                                                       Answer
                                                                                                                   Potential
                                                                           Potential     Potential     Potential

                                   ce
                                                              Potential




                                                                             y
                                                                            Answer        Answer        Answer     Answer
                                         Potential             Answer
                                          Answer


1. You have a need to   2. Interface exposes      3. Search provides some        4. Taxonomy provides a    6. When all of these
extract valuable        multiple ways to get to   precision in retrieval,        further layer of          components are used in
information from the    information, the          but can often include          precision                 tandem, you are
vast collection of      simplest being a shared   false positives or                                       provided with “the
Enterprise Content      drive or arrangement by   content irrelevant to          5. Analytics provides     answer”
                        file folders              your focus                     further precision by
                                                                                 putting the query and
                                                                                 content in context




                                  Search is only
                                  PART of the
                                  answer
!
ACME General Hospital



http://www.ACME-General.com

                          XXX




                              XXX




                                    !
!
Areas of Medicine                   Members
               Respiratory
                  Diseases & Treatments
               Oncology
                  Treatment               Dr. Mark Robbins - Chief Surgery - ACME General
                  Research                Hospital - is a specialist in eyes ears and throat       Docum
                                          surgery and oncology. His recent experience
                                          includes experimental procedures in the treatment        patent
                                          of laser surgery related to stigmatism.
                                                                                                   author
 reas of experience                       He holds two patents and a trademark for his
                                          work in nano-based technology for providing              attorne
or this attorney                          sight to the blind.
                                                                                               !
                                          He us a graduate of the University of Illinois,
                                          and did his residency at the New England
                                          (more)

                                                                                                   Matters
                                                                                                   patent
                                                                                                   that thi
                                                                                                   billed o
Let’s Get 2.0
    www.informationarchitected.com
    Facebook: Information Architected
    Twitter: @IAI


    cf@informationarchitected.com
    Facebook: Carl Frappaolo
    Twitter: @carlfrappaolo

More Related Content

Viewers also liked

The pittsburgh steelers
The pittsburgh steelersThe pittsburgh steelers
The pittsburgh steelers
chelseaaprea
 
TGIF Reflet Communication - Nov 15, 2013
TGIF Reflet Communication - Nov 15, 2013TGIF Reflet Communication - Nov 15, 2013
TGIF Reflet Communication - Nov 15, 2013
Reflet Communication
 
The Promise of Enterprise Prediction Markets
The Promise of Enterprise Prediction MarketsThe Promise of Enterprise Prediction Markets
The Promise of Enterprise Prediction Markets
Enterprise 2.0 Conference
 
Relationship Characteristics on Social Network Sites
Relationship Characteristics on Social Network SitesRelationship Characteristics on Social Network Sites
Relationship Characteristics on Social Network Sites
Xenia K-i
 
Writingprocess1
Writingprocess1Writingprocess1
Writingprocess1
Brij Sahani
 
Colombia
ColombiaColombia
Colombia
sigugi
 
Differential Tution Proposal
Differential Tution ProposalDifferential Tution Proposal
Differential Tution Proposal
maysbusiness
 
Modo 2010 passion business design
Modo 2010   passion business designModo 2010   passion business design
Modo 2010 passion business design
InterlubGroup
 
Oracle
OracleOracle
Oracle
thiru986
 
The Ex-CXO: Why Your Employees Will be Running Your Enterprise in 5 Years, an...
The Ex-CXO: Why Your Employees Will be Running Your Enterprise in 5 Years, an...The Ex-CXO: Why Your Employees Will be Running Your Enterprise in 5 Years, an...
The Ex-CXO: Why Your Employees Will be Running Your Enterprise in 5 Years, an...
Enterprise 2.0 Conference
 
The Hardest Problem in E2.0 - Changing Our Culture
The Hardest Problem in E2.0 - Changing Our CultureThe Hardest Problem in E2.0 - Changing Our Culture
The Hardest Problem in E2.0 - Changing Our Culture
Enterprise 2.0 Conference
 

Viewers also liked (11)

The pittsburgh steelers
The pittsburgh steelersThe pittsburgh steelers
The pittsburgh steelers
 
TGIF Reflet Communication - Nov 15, 2013
TGIF Reflet Communication - Nov 15, 2013TGIF Reflet Communication - Nov 15, 2013
TGIF Reflet Communication - Nov 15, 2013
 
The Promise of Enterprise Prediction Markets
The Promise of Enterprise Prediction MarketsThe Promise of Enterprise Prediction Markets
The Promise of Enterprise Prediction Markets
 
Relationship Characteristics on Social Network Sites
Relationship Characteristics on Social Network SitesRelationship Characteristics on Social Network Sites
Relationship Characteristics on Social Network Sites
 
Writingprocess1
Writingprocess1Writingprocess1
Writingprocess1
 
Colombia
ColombiaColombia
Colombia
 
Differential Tution Proposal
Differential Tution ProposalDifferential Tution Proposal
Differential Tution Proposal
 
Modo 2010 passion business design
Modo 2010   passion business designModo 2010   passion business design
Modo 2010 passion business design
 
Oracle
OracleOracle
Oracle
 
The Ex-CXO: Why Your Employees Will be Running Your Enterprise in 5 Years, an...
The Ex-CXO: Why Your Employees Will be Running Your Enterprise in 5 Years, an...The Ex-CXO: Why Your Employees Will be Running Your Enterprise in 5 Years, an...
The Ex-CXO: Why Your Employees Will be Running Your Enterprise in 5 Years, an...
 
The Hardest Problem in E2.0 - Changing Our Culture
The Hardest Problem in E2.0 - Changing Our CultureThe Hardest Problem in E2.0 - Changing Our Culture
The Hardest Problem in E2.0 - Changing Our Culture
 

Similar to How Search 2.0 Has Been Redefined by Enterprise 2.0

SPLive Orlando - Beyond the Search Center - Application or Solution?
SPLive Orlando - Beyond the Search Center - Application or Solution?SPLive Orlando - Beyond the Search Center - Application or Solution?
SPLive Orlando - Beyond the Search Center - Application or Solution?
Agnes Molnar
 
Mesh Labs Introduction June 2012
Mesh Labs Introduction June 2012Mesh Labs Introduction June 2012
Mesh Labs Introduction June 2012
Umesh Ramalingachar
 
Metadata and Taxonomies for More Flexible Information Architecture
Metadata and Taxonomies for More Flexible Information Architecture Metadata and Taxonomies for More Flexible Information Architecture
Metadata and Taxonomies for More Flexible Information Architecture
jrhowe
 
Enterprise search in SharePoint 2013 - Sydney 15th of January 2013
Enterprise search in SharePoint 2013 - Sydney 15th of January 2013Enterprise search in SharePoint 2013 - Sydney 15th of January 2013
Enterprise search in SharePoint 2013 - Sydney 15th of January 2013
Findwise
 
7 dee finding the right methodologies marshall sponder - 9-12-12 - submitted
7 dee finding the right methodologies   marshall sponder - 9-12-12 - submitted7 dee finding the right methodologies   marshall sponder - 9-12-12 - submitted
7 dee finding the right methodologies marshall sponder - 9-12-12 - submitted
Marshall Sponder
 
When SharePoint Isn't Enough - Adding Enterprise Class Search for Better Coll...
When SharePoint Isn't Enough - Adding Enterprise Class Search for Better Coll...When SharePoint Isn't Enough - Adding Enterprise Class Search for Better Coll...
When SharePoint Isn't Enough - Adding Enterprise Class Search for Better Coll...
Helen Mitchell
 
Tutorial: Best Practices for Building a Records-Management Deployment in Shar...
Tutorial: Best Practices for Building a Records-Management Deployment in Shar...Tutorial: Best Practices for Building a Records-Management Deployment in Shar...
Tutorial: Best Practices for Building a Records-Management Deployment in Shar...
SPTechCon
 
8 Information Architecture Better Practices
8 Information Architecture Better Practices8 Information Architecture Better Practices
8 Information Architecture Better Practices
Louis Rosenfeld
 
Piloting with SharePoint—Learn to FLY by Eric Riz - SPTechCon
Piloting with SharePoint—Learn to FLY by Eric Riz - SPTechConPiloting with SharePoint—Learn to FLY by Eric Riz - SPTechCon
Piloting with SharePoint—Learn to FLY by Eric Riz - SPTechCon
SPTechCon
 
KMWorld Martin Briefing
KMWorld Martin BriefingKMWorld Martin Briefing
KMWorld Martin Briefing
martingarland
 
Conducting a Knowledge - Business workshop
Conducting a Knowledge - Business workshopConducting a Knowledge - Business workshop
Conducting a Knowledge - Business workshop
David G. Jones
 
Information Architecture: Get Your Blue Prints in Order
Information Architecture: Get Your Blue Prints in OrderInformation Architecture: Get Your Blue Prints in Order
Information Architecture: Get Your Blue Prints in Order
BusinessOnline
 
Federated Search Webinar for SLA (Special Libraries Assoc.)
Federated Search Webinar for SLA (Special Libraries Assoc.)Federated Search Webinar for SLA (Special Libraries Assoc.)
Federated Search Webinar for SLA (Special Libraries Assoc.)
Helen Mitchell
 
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and SolrLarge Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Grant Ingersoll
 
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and SolrLarge Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Grant Ingersoll
 
Identifying and measuring ic
Identifying and measuring icIdentifying and measuring ic
Identifying and measuring ic
Smarter-Companies
 
Unlocking The Value Of Your Information
Unlocking The Value Of Your InformationUnlocking The Value Of Your Information
Unlocking The Value Of Your Information
Intergen
 
Introduction to Enterprise Search
Introduction to Enterprise SearchIntroduction to Enterprise Search
Introduction to Enterprise Search
Findwise
 
KM Models and Samples
KM Models and SamplesKM Models and Samples
KM Models and Samples
David G. Jones
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 

Similar to How Search 2.0 Has Been Redefined by Enterprise 2.0 (20)

SPLive Orlando - Beyond the Search Center - Application or Solution?
SPLive Orlando - Beyond the Search Center - Application or Solution?SPLive Orlando - Beyond the Search Center - Application or Solution?
SPLive Orlando - Beyond the Search Center - Application or Solution?
 
Mesh Labs Introduction June 2012
Mesh Labs Introduction June 2012Mesh Labs Introduction June 2012
Mesh Labs Introduction June 2012
 
Metadata and Taxonomies for More Flexible Information Architecture
Metadata and Taxonomies for More Flexible Information Architecture Metadata and Taxonomies for More Flexible Information Architecture
Metadata and Taxonomies for More Flexible Information Architecture
 
Enterprise search in SharePoint 2013 - Sydney 15th of January 2013
Enterprise search in SharePoint 2013 - Sydney 15th of January 2013Enterprise search in SharePoint 2013 - Sydney 15th of January 2013
Enterprise search in SharePoint 2013 - Sydney 15th of January 2013
 
7 dee finding the right methodologies marshall sponder - 9-12-12 - submitted
7 dee finding the right methodologies   marshall sponder - 9-12-12 - submitted7 dee finding the right methodologies   marshall sponder - 9-12-12 - submitted
7 dee finding the right methodologies marshall sponder - 9-12-12 - submitted
 
When SharePoint Isn't Enough - Adding Enterprise Class Search for Better Coll...
When SharePoint Isn't Enough - Adding Enterprise Class Search for Better Coll...When SharePoint Isn't Enough - Adding Enterprise Class Search for Better Coll...
When SharePoint Isn't Enough - Adding Enterprise Class Search for Better Coll...
 
Tutorial: Best Practices for Building a Records-Management Deployment in Shar...
Tutorial: Best Practices for Building a Records-Management Deployment in Shar...Tutorial: Best Practices for Building a Records-Management Deployment in Shar...
Tutorial: Best Practices for Building a Records-Management Deployment in Shar...
 
8 Information Architecture Better Practices
8 Information Architecture Better Practices8 Information Architecture Better Practices
8 Information Architecture Better Practices
 
Piloting with SharePoint—Learn to FLY by Eric Riz - SPTechCon
Piloting with SharePoint—Learn to FLY by Eric Riz - SPTechConPiloting with SharePoint—Learn to FLY by Eric Riz - SPTechCon
Piloting with SharePoint—Learn to FLY by Eric Riz - SPTechCon
 
KMWorld Martin Briefing
KMWorld Martin BriefingKMWorld Martin Briefing
KMWorld Martin Briefing
 
Conducting a Knowledge - Business workshop
Conducting a Knowledge - Business workshopConducting a Knowledge - Business workshop
Conducting a Knowledge - Business workshop
 
Information Architecture: Get Your Blue Prints in Order
Information Architecture: Get Your Blue Prints in OrderInformation Architecture: Get Your Blue Prints in Order
Information Architecture: Get Your Blue Prints in Order
 
Federated Search Webinar for SLA (Special Libraries Assoc.)
Federated Search Webinar for SLA (Special Libraries Assoc.)Federated Search Webinar for SLA (Special Libraries Assoc.)
Federated Search Webinar for SLA (Special Libraries Assoc.)
 
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and SolrLarge Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
 
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and SolrLarge Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
Large Scale Search, Discovery and Analytics with Hadoop, Mahout and Solr
 
Identifying and measuring ic
Identifying and measuring icIdentifying and measuring ic
Identifying and measuring ic
 
Unlocking The Value Of Your Information
Unlocking The Value Of Your InformationUnlocking The Value Of Your Information
Unlocking The Value Of Your Information
 
Introduction to Enterprise Search
Introduction to Enterprise SearchIntroduction to Enterprise Search
Introduction to Enterprise Search
 
KM Models and Samples
KM Models and SamplesKM Models and Samples
KM Models and Samples
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 

More from Enterprise 2.0 Conference

Social Business Intelligence: The Future of Listening
Social Business Intelligence: The Future of ListeningSocial Business Intelligence: The Future of Listening
Social Business Intelligence: The Future of Listening
Enterprise 2.0 Conference
 
Pulling It Together: Connecting External Activities With Internal Conversations
Pulling It Together: Connecting External Activities With Internal ConversationsPulling It Together: Connecting External Activities With Internal Conversations
Pulling It Together: Connecting External Activities With Internal Conversations
Enterprise 2.0 Conference
 
Performance and Passion: Creating New Connections
Performance and Passion: Creating New ConnectionsPerformance and Passion: Creating New Connections
Performance and Passion: Creating New Connections
Enterprise 2.0 Conference
 
Developing a Cutting Edge Social Enterprise Software Strategy that Leverages ...
Developing a Cutting Edge Social Enterprise Software Strategy that Leverages ...Developing a Cutting Edge Social Enterprise Software Strategy that Leverages ...
Developing a Cutting Edge Social Enterprise Software Strategy that Leverages ...
Enterprise 2.0 Conference
 
The Promise of Enterprise Prediction Markets
The Promise of Enterprise Prediction MarketsThe Promise of Enterprise Prediction Markets
The Promise of Enterprise Prediction Markets
Enterprise 2.0 Conference
 
Leading Collaborative Teams
Leading Collaborative TeamsLeading Collaborative Teams
Leading Collaborative Teams
Enterprise 2.0 Conference
 
Driving Virtual Team Productivity
Driving Virtual Team ProductivityDriving Virtual Team Productivity
Driving Virtual Team Productivity
Enterprise 2.0 Conference
 
Applying the Successful Strategies of Social Networks to the Enterprise
Applying the Successful Strategies of Social Networks to the EnterpriseApplying the Successful Strategies of Social Networks to the Enterprise
Applying the Successful Strategies of Social Networks to the Enterprise
Enterprise 2.0 Conference
 
Multi-Enterprise 2.0 - Leveraging Social Software for Real ROI
Multi-Enterprise 2.0 - Leveraging Social Software for Real ROIMulti-Enterprise 2.0 - Leveraging Social Software for Real ROI
Multi-Enterprise 2.0 - Leveraging Social Software for Real ROI
Enterprise 2.0 Conference
 
Ignite Technologies Overview
Ignite Technologies OverviewIgnite Technologies Overview
Ignite Technologies Overview
Enterprise 2.0 Conference
 
Sincere Marketing in an Age of Skepticism: Unthinking the Consumer Experience
Sincere Marketing in an Age of Skepticism: Unthinking the Consumer ExperienceSincere Marketing in an Age of Skepticism: Unthinking the Consumer Experience
Sincere Marketing in an Age of Skepticism: Unthinking the Consumer Experience
Enterprise 2.0 Conference
 
Angels & Demons
Angels & DemonsAngels & Demons
Angels & Demons
Enterprise 2.0 Conference
 
Jump Starting Collaboration with Social Search
Jump Starting Collaboration with Social SearchJump Starting Collaboration with Social Search
Jump Starting Collaboration with Social Search
Enterprise 2.0 Conference
 
Connecting the Dots with Conectbeam Social Networking Services
Connecting the Dots with Conectbeam Social Networking ServicesConnecting the Dots with Conectbeam Social Networking Services
Connecting the Dots with Conectbeam Social Networking Services
Enterprise 2.0 Conference
 
Real World: Customer Edition Panel "Stories about Social Computing Deployment"
Real World: Customer Edition Panel "Stories about Social Computing Deployment"Real World: Customer Edition Panel "Stories about Social Computing Deployment"
Real World: Customer Edition Panel "Stories about Social Computing Deployment"
Enterprise 2.0 Conference
 
Is Enterprise Search Ripe for Open Source Disruption?
Is Enterprise Search Ripe for Open Source Disruption?Is Enterprise Search Ripe for Open Source Disruption?
Is Enterprise Search Ripe for Open Source Disruption?
Enterprise 2.0 Conference
 
Enterprise 2.0 Anti-Patterns, ROI and Metrics
Enterprise 2.0 Anti-Patterns, ROI and MetricsEnterprise 2.0 Anti-Patterns, ROI and Metrics
Enterprise 2.0 Anti-Patterns, ROI and Metrics
Enterprise 2.0 Conference
 
Reality 2.0: Enterprise Social Networks (A Field Research Study)
Reality 2.0: Enterprise Social Networks (A Field Research Study)Reality 2.0: Enterprise Social Networks (A Field Research Study)
Reality 2.0: Enterprise Social Networks (A Field Research Study)
Enterprise 2.0 Conference
 
Delivering Results that Endure
Delivering Results that EndureDelivering Results that Endure
Delivering Results that Endure
Enterprise 2.0 Conference
 
Applying the Social Dimension to the Lockheed Martin IS&GS MIssion
Applying the Social Dimension to the Lockheed Martin IS&GS MIssionApplying the Social Dimension to the Lockheed Martin IS&GS MIssion
Applying the Social Dimension to the Lockheed Martin IS&GS MIssion
Enterprise 2.0 Conference
 

More from Enterprise 2.0 Conference (20)

Social Business Intelligence: The Future of Listening
Social Business Intelligence: The Future of ListeningSocial Business Intelligence: The Future of Listening
Social Business Intelligence: The Future of Listening
 
Pulling It Together: Connecting External Activities With Internal Conversations
Pulling It Together: Connecting External Activities With Internal ConversationsPulling It Together: Connecting External Activities With Internal Conversations
Pulling It Together: Connecting External Activities With Internal Conversations
 
Performance and Passion: Creating New Connections
Performance and Passion: Creating New ConnectionsPerformance and Passion: Creating New Connections
Performance and Passion: Creating New Connections
 
Developing a Cutting Edge Social Enterprise Software Strategy that Leverages ...
Developing a Cutting Edge Social Enterprise Software Strategy that Leverages ...Developing a Cutting Edge Social Enterprise Software Strategy that Leverages ...
Developing a Cutting Edge Social Enterprise Software Strategy that Leverages ...
 
The Promise of Enterprise Prediction Markets
The Promise of Enterprise Prediction MarketsThe Promise of Enterprise Prediction Markets
The Promise of Enterprise Prediction Markets
 
Leading Collaborative Teams
Leading Collaborative TeamsLeading Collaborative Teams
Leading Collaborative Teams
 
Driving Virtual Team Productivity
Driving Virtual Team ProductivityDriving Virtual Team Productivity
Driving Virtual Team Productivity
 
Applying the Successful Strategies of Social Networks to the Enterprise
Applying the Successful Strategies of Social Networks to the EnterpriseApplying the Successful Strategies of Social Networks to the Enterprise
Applying the Successful Strategies of Social Networks to the Enterprise
 
Multi-Enterprise 2.0 - Leveraging Social Software for Real ROI
Multi-Enterprise 2.0 - Leveraging Social Software for Real ROIMulti-Enterprise 2.0 - Leveraging Social Software for Real ROI
Multi-Enterprise 2.0 - Leveraging Social Software for Real ROI
 
Ignite Technologies Overview
Ignite Technologies OverviewIgnite Technologies Overview
Ignite Technologies Overview
 
Sincere Marketing in an Age of Skepticism: Unthinking the Consumer Experience
Sincere Marketing in an Age of Skepticism: Unthinking the Consumer ExperienceSincere Marketing in an Age of Skepticism: Unthinking the Consumer Experience
Sincere Marketing in an Age of Skepticism: Unthinking the Consumer Experience
 
Angels & Demons
Angels & DemonsAngels & Demons
Angels & Demons
 
Jump Starting Collaboration with Social Search
Jump Starting Collaboration with Social SearchJump Starting Collaboration with Social Search
Jump Starting Collaboration with Social Search
 
Connecting the Dots with Conectbeam Social Networking Services
Connecting the Dots with Conectbeam Social Networking ServicesConnecting the Dots with Conectbeam Social Networking Services
Connecting the Dots with Conectbeam Social Networking Services
 
Real World: Customer Edition Panel "Stories about Social Computing Deployment"
Real World: Customer Edition Panel "Stories about Social Computing Deployment"Real World: Customer Edition Panel "Stories about Social Computing Deployment"
Real World: Customer Edition Panel "Stories about Social Computing Deployment"
 
Is Enterprise Search Ripe for Open Source Disruption?
Is Enterprise Search Ripe for Open Source Disruption?Is Enterprise Search Ripe for Open Source Disruption?
Is Enterprise Search Ripe for Open Source Disruption?
 
Enterprise 2.0 Anti-Patterns, ROI and Metrics
Enterprise 2.0 Anti-Patterns, ROI and MetricsEnterprise 2.0 Anti-Patterns, ROI and Metrics
Enterprise 2.0 Anti-Patterns, ROI and Metrics
 
Reality 2.0: Enterprise Social Networks (A Field Research Study)
Reality 2.0: Enterprise Social Networks (A Field Research Study)Reality 2.0: Enterprise Social Networks (A Field Research Study)
Reality 2.0: Enterprise Social Networks (A Field Research Study)
 
Delivering Results that Endure
Delivering Results that EndureDelivering Results that Endure
Delivering Results that Endure
 
Applying the Social Dimension to the Lockheed Martin IS&GS MIssion
Applying the Social Dimension to the Lockheed Martin IS&GS MIssionApplying the Social Dimension to the Lockheed Martin IS&GS MIssion
Applying the Social Dimension to the Lockheed Martin IS&GS MIssion
 

Recently uploaded

Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
ssuserfac0301
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
Jakub Marek
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Hiroshi SHIBATA
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
Jason Packer
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Tomaz Bratanic
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
Recommendation System using RAG Architecture
Recommendation System using RAG ArchitectureRecommendation System using RAG Architecture
Recommendation System using RAG Architecture
fredae14
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
SitimaJohn
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 

Recently uploaded (20)

Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
Recommendation System using RAG Architecture
Recommendation System using RAG ArchitectureRecommendation System using RAG Architecture
Recommendation System using RAG Architecture
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 

How Search 2.0 Has Been Redefined by Enterprise 2.0

  • 1. How Search 2.0 Has Been Redefined by Enterprise 2.0 Carl Frappaolo Information Architected, Inc.
  • 2. 62% of corporate users believe that finding information inside the firewall needed to execute their job is difficult and time consuming.
  • 3. 82% believe experience with thefor consumer web has created demand improved enterprise search
  • 4. 1
  • 8. 56% have no strategy for enterprise search
  • 9. 1
  • 10. 17
  • 11. 18
  • 12. (ECMs) SEARCH E-Mail & Intranet(s) Attachments SEARCH SEARCH Web/ Information Online Enterprise 2.o Workplace Libraries SEARCH SEARCH Desktop Files BPM Logs SEARCH ERP SEARCH SEARCH 12
  • 14. Its NOT Search - Its Findability
  • 15. Findability Structure, meaning Needs,behaviors Document/data types,content Information needs, audience types, objects, meta-information, existing expertise, experience,tasks, structure, future structure, volume information seeking behaviors Community Content IA Culture, technology Business models & goals, Corporate culture, technology, funding, politics, resources, Context constraints
  • 16. Only 15% feel findability as opposed to “search” is understood and addressed within their organization.
  • 17. What is Information Architecture? IA is the art and science of structuring organizing, and labeling information to help people find and manage information Browsing Aids Information Enabling Components Architecture Content & Tasks Search Aids Rosenfeld & Morville
  • 18. Phase 1 Phase 2 Phase 3 Phase 4 Phase 5 Research Strategy Design Implementation Administration Review existing Create conceptual Transform high-level Build, Test, Launch Evaluate & Improve materials to framework for strategy into an IA gain high-level Structuring & Includes: Day to Day Maintenance: understanding of organizing web site − Organizing & Tagging (effort required tied directly goals/business High-level The most “work” Documents to content churn) context, existing happens here: − Testing − Select & Evaluate new IA, content, & Recommends: − Controlled vocabs. − Troubleshooting content Intended audiences − IA Administration − Taxonomies − Developing − Classification management − Technology − Thesauri Documentation − Indexing management Meetings with Integration − Metadata schema − Developing Training − CV & Thesauri management strategy team, − Top-down vs − Blueprints Programs content owners, Bottom-up − Wireframes Periodic Evaluation/Updates IT, users, − Organization & stakeholders Labeling Systems Continuous Evaluation & − Doc Type ID Improvement − Metadata field Definitions − Navigation System Design
  • 19. Users Who are they? Which audiences are the most important? What motivates them to come to this site? What do they want from this site? What do they need from this site? How do they navigate? What terms do they use to search, browse, and classify information? What are their most important information needs?
  • 20. Content How do I get my arms around the content we have? What content has value? What content can I get rid of? How do I make answers emerge from content? How should content be organized and labeled? What is this content object? How can I describe it? What distinguishes it from other content objects? How can I make it findable?
  • 21. Context Who in this organization makes the decisions? What are the primary business goals and objectives for increased findability? What does the decision-maker want from the site? What political and cultural factors might impact the architecture? What similar initiatives have worked in the past? What similar initiatives have failed in the past and why? What resources (people, technology, time, $$$) are available? How will the architecture be maintained?
  • 22. Needles & Haystacks Needles & haystacks •! A known needle in a known haystack •! A known needle in an unknown haystack •! •! Needles & Haystacks An unknown needle in an unknown haystack Any needle in a haystack •! The sharpest needle in a haystack •! Most of the sharpest needles in a haystack •! All of the needles in a haystack •! Affirmation of no needles in any haystack •! Things like needles in any haystack •! Let me know whenever a new needle shows up •! Where are the haystacks? •! Needles, haystacks - whatever End game of IR is finding whatever needle/ haystack you are looking for - whether you know it exists or not... Delphi Group • 10 Post Office Square • Boston, MA 02109-4603 • (617) 247-1511v (617) 247-4957f • www.delphigroup.com ©2005 Delphi Group, A Perot Systems Company Dr. Mathew Koll
  • 23. Putting Together a Stratgey and Design Top-Down vs. Bottom-Up
  • 24. Organizational Schemes Exact Schemes: divide information into well-defined and mutually exclusive sections (easy to design, maintain, and use) –Alphabetical –Chronological –Geographical Ambiguous Schemes: divide information into categories that defy exact definition (difficult to design & maintain, can be difficult to use. Supports process of associative learning by grouping items in intellectually meaningful ways) –Topic or Subject –Task-oriented –Audience
  • 25. Search Federated/Universal Search Zones Agents Parametric / Hybrids Sharing tags Analytics and Suggestions Relevancy Ranking
  • 26. Relevancy Ranking Date (Weighted) Term Summing Omni-term skewing Term density and proximity Links and conections Analytics (Explicit and Implicit) User preferences and affiliations Dynamic/User controlled?
  • 27. Types of Controlled Vocabularies cuisinart cuizinart Kitchen aid •Synonym ring kitchenaid Food processor blender •Authority files CT Connecticut, Con, Conn, Conneticut LA Louisiana, Loosiana, Louanna •Classification Schemes •Thesaurus Wine (BT) Bubbly (VT) Sparkling Wine Champagne (VT) (PT) Weddings (RT) Brut Champagne Mimosas (RT) (NT) •Ontologies
  • 28. Search Brings Results... TOO MANY Wrong Results Potential Answer Enterprise Potential Potential Potential Answer Answer Answer Content The You Search Answer Potential Potential Potential Potential Potential Potential Answer Answer Answer Answer Answer Answer Elapsed time: Hours 1. You Search 4. Check 2nd result Not the right answer 2. You Find MANY hits ... Check ### result 3. Check 1st result Not the right answer Not the right answer Later that day: ... Check ### result Did I get the right Not the right answer answer? ... Check ### result Did the opportunity pass Not the right answer us by? ... Check ### result Is this the most current Not the right answer information? ?!@^%$!
  • 29. Findability Guides the User to Find THE Answer Potential Answer Potential Potential Tax An Potential Answer Answer Inte Sea The aly o Answer You nom rch rfa tics Answer Potential Potential Potential Potential ce Potential y Answer Answer Answer Answer Potential Answer Answer 1. You have a need to 2. Interface exposes 3. Search provides some 4. Taxonomy provides a 6. When all of these extract valuable multiple ways to get to precision in retrieval, further layer of components are used in information from the information, the but can often include precision tandem, you are vast collection of simplest being a shared false positives or provided with “the Enterprise Content drive or arrangement by content irrelevant to 5. Analytics provides answer” file folders your focus further precision by putting the query and content in context Search is only PART of the answer
  • 30. !
  • 32. !
  • 33. Areas of Medicine Members Respiratory Diseases & Treatments Oncology Treatment Dr. Mark Robbins - Chief Surgery - ACME General Research Hospital - is a specialist in eyes ears and throat Docum surgery and oncology. His recent experience includes experimental procedures in the treatment patent of laser surgery related to stigmatism. author reas of experience He holds two patents and a trademark for his work in nano-based technology for providing attorne or this attorney sight to the blind. ! He us a graduate of the University of Illinois, and did his residency at the New England (more) Matters patent that thi billed o
  • 34. Let’s Get 2.0 www.informationarchitected.com Facebook: Information Architected Twitter: @IAI cf@informationarchitected.com Facebook: Carl Frappaolo Twitter: @carlfrappaolo