Overview of Search in SharePoint Server 2013 - Australian SharePoint Conference - April 11 2013, Sydney

Overview of Search in

SharePoint Server 2013

Sezai Komur

NEC

Who is Sezai? SharePoint Server MVP SharePoint Solutions Architect – NEC

Australia Perth SharePoint User Group Email

[email protected]@nec.com.au

Twitter@sezai

LinkedInhttp://www.linkedin.com/in/sezaikomur

Agenda History of SharePoint Search Architecture of Search in SharePoint 2013 Search Centre Result Sources Result Types Display Templates Query Rules Content Enrichment Recommendations Recap

History of SharePoint Search There has been Search in SharePoint

since SharePoint 2001 and all versions since.

FAST Search and Transfer Acquisition in 2008.

Two Search Product Options for SharePoint 2010SharePoint Server 2010 SearchFAST Search Server 2010 for SharePoint

One Search Product Option for SharePoint 2013!

Lineage of SharePoint 2013 SearchSharePoint 2001

Search

SharePoint 2003 Search

MOSS 2007 Search

SharePoint 2010 Search

FAST ESP

FAST Search Server 2010 for SharePoint

SharePoint 2013 Search

SharePoint Server 2013 Search Architecture

SharePoint Server 2013 Search Architecture

Search Engine Basics

1. Connect to and crawl content2. Process the content3. Store the content in an index 4. Execute search queries against the index5. Retrieve Results6. Display the results to the user

Search Schema Crawled Properties

Individual data properties detected during crawls

Managed PropertiesAnother ‘layer’ of properties that map to crawled properties

Used in search queries

Demo

SharePoint 2013 Search Centre

Result Sources Replacement for 2010 Scopes +

Federated Locations Apply a query transform to return a

corpus subset Can be created in Service Application,

Site Collection and Site levels Used when defining a new Search

‘Vertical’ Create a new Search Results page and

applying the Result Source to it to create a search experience

Result Types Each Search Result Item is rendered

differently Each Item Uses a different Display

Template No more XSLT, use HTML and

JavaScript

Demo

Result Sources and Result Types

Query Rules Replaces 2010 Search Keywords and

Best Bets Used to understand user intent and

deliver a targeted user experience Query Conditions Query Actions Query Publishing

Google Examples

Siri Examples

Demo

Query RulesResult Blocks

Content Search Web Part SharePoint’s Site Collection Boundary

Problem Uses Search as a data source to

display content

Demo

Content Search Web PartDisplay Templates

Content Enrichment Web Service Used for Entity Extraction Replacement to the FAST Search

Document Processing Pipeline / Processing Pipeline Extensibility

For each item that is crawled: - The file / properties can be passed to a

web service. - The web service contains custom code

which can create new managed properties that are stored in the index.

Powerful for extensibility

Content Enrichment Web Service You can run code against crawled data

and pass data to other systems to: - CRM/ERP and other Line-of-business systems

- Geocoding - OCR - Audio and Video Transcription - ‘Deep’ Search of raw data

Recommendations Analytics based recommendations

engine Similar to – Amazon “people who purchased this

also purchased” LinkedIn “people who viewed this

profile also viewed”

Recap – Key Takeaways One NEW Search Engine based on

FAST & SharePoint Search Search requires more servers Search Centre is overhauled and

improved Significant UI enhancements –

previews Query Builder in many places

Recap – Key Takeaways Result Sources – Replaces scopes &

federated locations Result Types – Configure different

Display Templates for individual results

Display Templates – Define how an item is rendered with HTML and JS

Recap – Key Takeaways Query Rules – Replaces keywords

and best bets Intent based search experience. When conditions of a query rule

trigger are met: - Add promoted results - Add result blocks - Change Result Rank

Recap – Key Takeaways Result Sources, Result Types,

Query Rules & Search Schema can be managed at many levelsSearch Service ApplicationSite CollectionSite

Recap – Key Takeaways Content Search Web Part – Cross

Site Collection Aggregation!!! Content Enrichment – Can be used

for property extraction - powerful extensibility

Recommendations – Recommends based on analysis of user behaviour

Questions!

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