> the average person receives 63,000 words of new information every day. average length of a...
TRANSCRIPT
Best practices for Information Architecture and Enterprise SearchAgnes MolnarInternational Consultant, ECM & Search Expert,SharePoint Server MVP@molnaragnes
SPC207
AgendaInformation OverloadBe the Hero of IA!Planning IAPlanning SearchFindability / DiscoverySearch Semantics
Information Overload
Information Overload
>
Information Overload TodayThe average person
receives 63,000 words of new information
every day.
Average length of a novel:
64.531 words If you wanted to read
everything you’ve got in 2013,
it would take you the first three months of 2014!
Source: Robby Walker; Amazon Text Stats
Social Overload
EmailsSharePointYammerLinkedInFacebookTwitter…
Be the Hero of IA!
Information ArchitectureThe art and science of organizing and
labeling the CONTENT
(documents, web sites, blog posts, database entries, etc.)
to support findability and usability
Metadata
Taxonomy
Content Types Sites Lists
Document Libraries Folders Docume
nt SetsWorkflo
ws
Content Organizer
Rules
User Profiles
Audiences …
Information Architecture
SearchConnects people
to the informationthey need to get their jobs
done
You have SharePoint,right?
You have Search!
Search is Easy!?
Find is the REAL Challenge!
Demo: Find is the REAL Challenge
Have you been in Oslo?
Have you been in Oslo?
Have you SEEN Oslo?
20© DEVintersection. All rights reserved.
http://www.DEVintersection.com
21© DEVintersection. All rights reserved.
http://www.DEVintersection.com
Planning for IA
Challenges in Effective IAGoals Motivati
onsOwners
Locations
Knowledge Flows
Complex Business
Environment
Context
Tools and Techniques – Users
Observe SummarizeIdentify
AudiencesDefine Tasks
Build Use Cases
Tools and Techniques – Content
Content Inventory
Content AuditMetadata & Taxonomy
Content Models
“Golden Set”
“Search Analytics are the Big Data of Search”
(Martin White, IntranetFocus)
Findability
Search UI Elements Built on IA
Refinement
Result Type & Display Template
On Hover Panel
Query & Query Rules
Search is Complex
Data Source
Data Source
Data Source
Data Source
Content Source
Content Source
Content Source
Result Source
Result Source
Remote Search index
Local Search Index
Indexing
Federation
Query RuleQuery Rule Query Rule
Result Block
Result Block
Display Templates
Refinement Panel
Hover Panel
metadata
Result Set
Semantics in Search
Semantic SearchSemantic Search seeks to improve search
accuracy by understanding searcher intent
and the contextual meaning of terms
Search
The Intent of Search
Audience TargetingUser Targeting
Result SourcesQuery RulesRefinersRanking Models
MyCustomer
Contract #1
Sales Presentation #1
Sales Presentation #2
Invoice #1
Sales Presentation #3
Requirements Specification #1
Bug #1
Release Notes #1
User Manual #1
Release Notes #2
Invoice #1
Invoice #2
Payment #1
Payment #2
Invoice #3
Sales Manager
Junior Developer
Financial Manager
Demo:The Intent of Search
Search Context – Metadata
Crawled property:
Metadata extracted from the documents/items during the crawl.
Managed property: Created from crawled properties,
controlled by Search Admins, helping users perform more efficient and successful queries
Search Context – Metadata Crawled Properties
Mapped Properties
Project Number
Client Name
Project Financial ID
Project Number
External Content
CustomerNoProjectNo
Unstructured Content
Project NBRClientNumberClientName
List dataProject IDClientID
Client Name
Content TypeProject IDCustomer
Metadata QualityQuality of Search depends on the Quality of ContentGood and Consistent MetadataAuto-Tagging• Dictionary-Based• Statistical• HybridBig Data – Big Search!
Demo:Search Context - Metadata
Wrap Up
Information Overload Information Architecture + Search together! FIND is the real challenge Take an eye on Oslo! IA Planning
User Focus Data Focus “Golden Set” of content Search Analytics
Search is complex Semantics in Search (Content – User – Context)
Key TakeAways
See you at the Search booths & Search tables at Ask the Experts WED @6:15pm!
Session Session Room Time
Customizing Search experiences with Azure Hosted Data and Bing Maps SPC321 Veronese 2401 Wed 3:15pm
Futuristic Search applications using Kinect and Yammer! SPC405 Palazzo M, N Wed 3:15pm
Search architecture and sizing in SharePoint 2013 SPC336 Titian 2201 Wed 5:00pm
Effective Search deployment and operations in SharePoint 2013 SPC360 Veronese 2401 Thu 9:00am
SharePoint 2013 Search display templates and query rules SPC322 Palazzo M, N Thu 9:00am
Managing Search Relevance in SharePoint 2013 and O365 SPC382 Veronese 2401 Thu 12:00pm
Searc
h R
ela
ted S
ess
ion
s
MySPCSponsored by
connect. reimagine. transform.
Evaluate sessionson MySPC using yourlaptop or mobile device:myspc.sharepointconference.com
© 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.