search solutions can be broad and...
TRANSCRIPT
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Search solutions can be broad and deep
Productivity (Intranet) Search Experience
Search Driven Applications
Connect all of your people with a broad set of information
• Enterprise content and data • Intranet sites • Team workspaces • People and expertise
Drive measurable ROI by helping a business group make the most
of a specific set of information
• 360o customer insight
• Competitive intelligence • Research portals
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Ingredients for great search
Search Driven Applications put all of the pieces together
Search connects people to the information
they need to get their jobs done.
Search Driven Applications drive measurable ROI by helping a specific set of people make the most of a specific set of information.
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Forrester View of Search-Based Apps
Desired characteristics: • Highly scalable
• Quick and agile development
• Adaptable to diverse, dynamic
information sources (web, enterprise,
data, content, email, etc.)
• Intuitive for targeted audience
• Heterogeneous information is
harmonized
Query
Semantic
search
Query builders
Explore and
combine
Faceted
interaction
Non-modeled
Topics and
dimensions
Visualize
Reporting
Dashboards
Relationship
Map
Act
Advanced
analytics
Scorecards
Process triggers
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Search-Driven Applications Meet all the search application needs you have across your business
Sales:
360o Customer Insight
Services:
Knowledge Browser
Marketing:
Competitive Intelligence
Research & Development:
Innovation Portal
Support:
Call Center Advisor
Operations:
Systems/Logistics Portal
“How do I support the
unique search needs of teams and
work that impact our business?”
To do so, you need a search platform that has
A deep understanding
of your information
Flexible relevance to meet
diverse needs
A customizable UX to increase
user efficiency
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Customized productivity search
and search driven applications
Social, Conversational++,
Visual, Contextual
Connectivity+, Security,
Relevance++, Performance,
Administration+, Scale++
General Productivity search
Light customization
Social, Conversational
Connectivity, Security,
Relevance, Performance,
Administration, Scale
SharePoint 2010 search and FAST Search for SharePoint - Comparison
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Customizations for Search Driven Applications
Building on an extensible platform
Configure Extend Create
User Context
LOB Connectivity
Content Processing
Business language
Federation Sources
UI Look & Feel
…..
Relevance Profiles
UI & Web Parts
Result Rollup
Visual Elements
Workflows
Analytics
…..
Custom Elements
Work Environments
New Innovations
….
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Out of the box features
SharePoint & FAST Custom federation runtimes
Custom refinement filter generators
Query or results alteration
Connector Framework
Custom applications leveraging Web Service / RSS
FAST-specific features Contextual Search
Document Preview (results with thumbnails)
Visual Best Bets
Sort on any property
Broader query syntax (FQL)
Similar Search
Enhanced language support
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Knowledge Center for Services: Contoso Consulting
Meet Arlene Huff Senior Strategy Consultant
Delivers deep, insightful advice to clients
Depends on knowledge and experience across Contoso
Arlene gets a request for a meeting with a new prospect
Blue Yonder Airlines wants help in developing a strategy for
improving their logistics and supply chain and wonders how
to fit collaboration and knowledge management into this.
They want a meeting tomorrow – 9AM!
Arlene needs to pull together a presentation and a set of experts for the meeting - FAST.
Most information is in PowerPoint and in consultant’s heads
Logistics, supply chain, collaboration & knowledgement
management, and strategy are all separate areas at Contoso
Across thousands of engagements and hundreds of experts,
what and who match Blue Yonders’ situation and request
most closely?
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Knowledge Center
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Knowledge Center
collaboration KM strategy
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
Recognize useful content within a consulting
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings Which repositories do
I want to explore?
Which file formats?
When and where have we done work like this?
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
Select elements to explore and narrow in
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
Is there important news I can share with the client?
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
Which experts are available for a meeting?
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
Which experts are available for a meeting?
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
Which experts are available for a meeting?
Sure, send me a draft ppt, ok?
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
Build a presentation as I explore
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
Build a presentation as I explore
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
Start a workflow immediately
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collaboration KM strategy
Knowledge Center You searched for: collaboration KM strategy > 1996 to 2007 Travel Key Concepts Service Offerings
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How would you create this?
Content Crawling: bring in data from lots of places
OOB connectors to SharePoint (reports, account documents), shared
files; CMS systems across multiple divisions of contoso
Crawl web intelligently for background content
Content processing: creating metadata
Names of projects, offerings, key concepts, clients, external experts
Industry terms & taxonomy (from external sources)
Synonyms for key concepts
OOB web parts configured for style
Federation, People Search, Search actions, Scopes
Custom Relevance Profile
Custom web parts for visual navigation
Tab-like selectors, sliders, maps, and taxonomy-aware refiners
Build PowerPoint on the Fly Custom development using the OpenXML SDK
SharePoint workflows for act-on-selected-items
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Search 2010 Architecture The platform for Search Customization
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FAST Search for SharePoint Designed for Customization
… …
Metadata
Creation
Relevance
Control
User
Context
Indexing
Connectivity
User
Experience
Federation
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Extending Search Web Parts
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Extending Search Web Parts
All Web Parts communicate through common interface Possible to add new Web Part on the page that interacts
with existing Web Parts. i.e. Graphical refiner, Tag cloud Refiner, etc…
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Extending Search Web Parts
All Web Parts communicate through common interface Possible to add new Web Part on the page that interacts
with existing Web Parts. i.e. Graphical refiner, Tag cloud Refiner, etc…
FAST Search Web Parts extend SharePoint Foundation Search Web Parts
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Extending Search Web Parts
All Web Parts communicate through common interface Possible to add new Web Part on the page that interacts
with existing Web Parts. i.e. Graphical refiner, Tag cloud Refiner, etc…
FAST Search Web Parts extend SharePoint Foundation Search Web Parts
Core Search Web Parts are unsealed
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Web Part Options
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Web Part Options
Configure Modify Web Part Properties
Modify Site and Farm Settings
Master Pages, Site Pages, CSS, Theming
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Web Part Options
Configure Modify Web Part Properties
Modify Site and Farm Settings
Master Pages, Site Pages, CSS, Theming
Extend Custom Actions
Visualizations
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Web Part Options
Configure Modify Web Part Properties
Modify Site and Farm Settings
Master Pages, Site Pages, CSS, Theming
Extend Custom Actions
Visualizations
Create Example: Multi-select refinements
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Other Custom Web Part Examples
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Other Custom Web Part Examples
Actions Get more results
Save Search
Export Search
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Other Custom Web Part Examples
Actions Get more results
Save Search
Export Search
Graphical Refiners Pie/Bar/Column charts
Range Refiners
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Tunable Relevance Enables unique, business-specific search results for diverse roles
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Rank Profiles Tune relevancy without impacting the default algorithm
Quality Also known as static rank, consists of multiple managed
properties including site, URL depth (preference for shorter
URLs), and relative importance of links to this document.
Authority Applies when the query word falls in the link or anchor text.
Query
Authority
Maps the popularity of a document, or the click-through rate
when documents are clicked as a result of a query
Freshness Increases the relevancy if a document was recently created
or modified, based on the last modified property.
Proximity Applies to where query terms fall and how close they are to
each other within a document
Context Increases the rank of a document if the query term is a
managed property associated with that document
Managed
Property
Effects relevancy when a managed property contains a
specific value, such as Woodgrove Bank or Financial Services
Out of the box relevancy Tuned for great general productivity experience,
relevancy improves with click-throughs and link text
analysis.
Extend the default algorithms Create new default relevancy models. Blend static and
dynamic ranking parameters to instantly improve
search results.
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# In FAST Search Server for SharePoint 2010 shell # Retrieve the default rank profile $rp = Get-FASTSearchMetadataRankProfile -Name default # Create a new rank profile called freshness $np = New-FASTSearchMetadataRankProfile -Name freshness -Template $rp # Increase the freshness.weight to 10000 $np.FreshnessWeight = 10000 # Update your profile $np.Update()
How to create a Rank Profile
Rank Profiles created
in PowerShell by
extending the default
relevancy algorithm…
… and are exposed in the
user interface by modifying
the sorting web part
IT Pros are empowered to create new profiles quickly
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1.
2.
Query Language Options
SharePoint Server 2010
FAST Search for SharePoint –
FQL SharePoint Server Search
Keyword Syntax 1
2
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AND /+, OR, NOT/-
a NEAR b
ALL(…), ANY(…), NONE(…)
title:xxx, scope:person
Keyword Query Language (KQL)
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FQL provides a robust and expressive query language
Wildcard support - *, ? Numeric Data types (Integer, Float, Decimal, Datetime)
Operators Direct field access (e.g., title:othello, author:shakespeare) Numeric (COUNT, RANGE, <, <=, >, >=) Boolean (AND, OR, ANY, NOT) Rank (RANK, XRANK) Proximity (NEAR, ONEAR) Sorting (SORT, SORTFORMULA)
String (operator support for strings) Boundary (starts-with, ends-with, equals) Filter
FAST Query Language
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[property-spec:]:operator(operand [,operand]* [,
parameter="value"]*)
FQL Operators
Query Operator: A keyword that specifies an operation to perform
Operator Type Keywords
Boolean AND, ANDNOT, OR, ANY, NOT, COUNT, RANK, XRANK
Proximity NEAR, ONEAR
Numeric FLOAT, INT, DATETIME
String WEIGHT, WILDCARD, MODE
Boundary Match STARTS-WITH, ENDS-WITH, EQUAL
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Query Language Expressiveness Soft boost using the Xrank operator
Boost all documents that contain the name
Or, in the FAST Query Language:
Single (documents containing either Mary, Diane or both gets a boost of 5000):
Xrank(string(”performance”), or(person:string(”diane tibbott”), person:string(”mary baker”)),
boost=5000))
Accumulative (documents with both Mary and Diane gets a boost of 10000):
Xrank(Xrank(string(”performance”), person:string(”diane tibbott”), boost=5000),
person:string(”mary baker”), boost=5000)
Diane
Tibbott
Boost all documents that contain the name
Mary
Baker
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Federation
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Search
Provider
Search
Client
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{searchTerms}
HTTP request
Search
Provider
Search
Client
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{searchTerms}
<title> <link> <description>
HTTP request
RSS/Atom
Results
Search
Provider
Search
Client
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{searchTerms}
<title> <link> <description>
<pubdate> <author> <category> <media:thumbnail>
HTTP request
RSS/Atom
Results
Search
Provider
Search
Client
![Page 52: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/52.jpg)
{searchTerms}
<title> <link> <description>
<pubdate> <author> <category> <media:thumbnail>
<recordid> <projectname> <contactnumber>
HTTP request
RSS/Atom
Results
Search
Provider
Search
Client
![Page 53: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/53.jpg)
existing searchable feed or create your own
OpenSearch
Page
Search
Provider
Search
Client
![Page 54: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/54.jpg)
FAST Search for SharePoint
Document Processor Pipeline (Language detection, document conversion,
tokenization, entity extraction, schema
mapping)
Document Processing - Pipeline
Stage
1
Stage
2
Stage
...
Stage
N
Search
Index
Connectors
(SharePoint,
File Shares,
Web...)
Documents
![Page 55: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/55.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
![Page 56: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/56.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
Format
Conversion
Extracts plain text and metadata from multiple content
formats (e.g. Microsoft Office, PDF, HTML, etc.)
![Page 57: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/57.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
Language
Encoding and
Detection
Identifies the encoding and languages used in the text
content so that the appropriate linguistic normalization
rules and dictionaries can be applied downstream
![Page 58: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/58.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
Tokenization
Breaks text into tokens using language-specific rules for
punctuation, diacritics, accents, compound words, phrases
and numbers (currency, telephones, part numbers, etc.)
![Page 59: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/59.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
Lemmatization
Applies language-specific normalization to content so
users’ queries match words and phrases in canonical or
inflected forms (singular/plural, masculine/feminine, etc.)
![Page 60: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/60.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
Property
Extraction
Recognizes predefined entities mentioned in the content;
out of the box support for Companies, Locations and
People but this can be extended to other categories
![Page 61: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/61.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
Vectorization
Creates document vectors (phrase/weight pairs reflecting
important terms and frequency of occurrence) to enable
“find similar” functionality
![Page 62: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/62.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
Date and Time
Normalization
Converts dates and times to a standard representation, to
handle locale-specific representations; for example, the
date 14-Mar-10 is equivalent to March 14, 2010
![Page 63: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/63.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
Custom
Processing
Stage
Enables you to extend the content processing pipeline
with custom stages (home-grown solutions or 3rd party
software) to address your own business needs
![Page 64: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/64.jpg)
A pipeline is a sequential set of processing stages
Their job is to break down and enrich content for indexing
They perform functions such as applying linguistics to optimize content for search
Or parsing content to extract additional metadata
Custom stages can be also created and added to the pipeline by a developer
Document Processing - Pipeline Enhance your content for optimal search experience and findability
Properties
Mapper
Maps the relevant pieces of content and metadata
discovered in the pipeline to the index schema for search
![Page 65: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/65.jpg)
Powerful Entity Extraction Enables search-driven navigation that is relevant to your business
CONCEPT
PRODUCT
COMPANY
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Custom Entities & Refiners
PRODUCT (Custom)
CONCEPT (Custom)
COMPANY (OOTB)
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What do you need to do in the Backend? 1. Create string property 2. Create and deploy dictionary
Put your terms in the out of the box Extraction dictionaries by modifying an XML file
3. Activate extractor Map the crawled property to a managed property
4. (Re-)Feed / Index content
What do you need to do in the Front-end:
Modify refinement panel web part
1. Define product refiner 2. Enable product refiner
Create a New Refiner based on Property Extraction
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Custom Entity Extraction
Custom entity extractors may be created
All based off of dictionary files you provide
Extractors can be ‘wholeword’ extractor
Or can be ‘wordpart’ (substring) extractors
Use ‘wordpart’ extractors for Chinese
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Add Custom Processing
Content classification
Geo-tagging
Machine translation
Sentiment Analysis
Extending Pipeline capabilities Safely add additional analysis and processing
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Add Custom Processing
Content classification
Geo-tagging
Machine translation
Sentiment Analysis
Extending Pipeline capabilities Safely add additional analysis and processing
What is Custom Processing? Pipeline Extensibility is a specially defined stage that
takes a set of crawled properties, as flat text as input
and maps output to another crawled property
Custom Processing is Safe Executable arguments and temporary files
automatically handled in sandbox with timeouts.
Runs before Crawled Property mapping stage,
making new metadata accessible in SharePoint
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Pipeline Extensibility - Detail
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Why an Extensible Pipeline?
Populate document meta data using custom code
Integrate with 3rd party software additional functionality - Examples:
Sentiment Analysis
Taxonomy classification
Entity extraction
Document translation
Video transcription
Thumbnail generation
Alerting
Custom statistics or monitoring of crawled documents
![Page 73: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/73.jpg)
Pipeline Extensibility - Process
Determine input and output crawled properties
Create executable that takes in 2 arguments.
Arg 1 - In file name
Arg 2 – Out file name
Deploy to C:\FastSearch\bin
Modify pipelineextensibility.xml file
Specify executable
Specify input and output crawled properties
Create and map any crawled and managed properties
Restart Document Processors
Crawl Full
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Pipeline Extensibility: Configuration
<PipelineExtensibility> <Run command="sample.exe %(input)s %(output)s"> <Input> <CrawledProperty propertySet="f29f85e0-4ff9-1068-ab91-08002b27b3d9" varType="31" propertyId="4"/> </Input> <Output> <CrawledProperty propertySet="d5cdd505-2e9c-101b-9397-08002b2cf9ae" varType="31" propertyName="MyProperty"/> </Output> </Run> </PipelineExtensibility>
PS> Get-FASTSearchMetadataCrawledProperty -name fileextension CategoryName : Basic IsMappedToContents : False IsNameEnum : False IsMultiValued : False Name : FileExtension Propset : 0b63e343-9ccc-11d0-bcdb-00805fccce04 VariantType : 31
<Document> <CrawledProperty propertySet="f29f85e0-4ff9-068- ab91-08002b27b3d9" varType="31" propertyId="4"> John Doe </CrawledProperty> </Document>
Input/Output File Format Get Property Attributes
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Limitations
![Page 76: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/76.jpg)
Back End Processing Tasks:
Load content from many different places Out of the box connectors for SharePoint, exchange public folders, and shared files
SharePoint Designer to configure connection to customer portfolio/holdings database
Create custom metadata with content processing pipeline
Names of holdings, offerings, key concepts, companies, people
Synonyms for key concepts (real estate ~ REIT)
Roll-ups configured with optional results collapsing stage
Create custom relevance profile
Designers can stylize the User Interface
Apply styles to web parts Federation, People Search, Search actions
Build custom web parts for visual navigation
Use SharePoint workflows to perform business specific actions
Leveraging FAST to build applications Putting together all of the pieces to build search-driven applications
![Page 77: Search solutions can be broad and deepdownload.microsoft.com/documents/hk/technet/techdays2012...Search solutions can be broad and deep Productivity (Intranet) Search Experience Search](https://reader035.vdocuments.us/reader035/viewer/2022070814/5f0da78a7e708231d43b6cc4/html5/thumbnails/77.jpg)
Search Driven Application Advantages
IDC: “Their selling point is that a worker can sit down and
accomplish a job without having to move from one information
source to another, or from one application to the next. These
full-blown applications will develop integrated work
environments in which the UI design hides the complexity of
multiple information sources and applications. Our work with
users in the marketplace convinces us that applications that are
affordable, easy to deploy, streamline work, enlighten, and
reveal are well loved, and therefore solidly enthroned in an
organization.”
Source: Worldwide search and text analytics 2010 top 10 predictions 01/2010,
Worldwide search and discovery software 2009-2013 forecast update and 2008 vendor shares, 01/2009
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