SlideShare une entreprise Scribd logo
1  sur  6
Content Search Paradigms David Champeau ECM Consultant 06/29/2009
Introduction Search Paradigms Collection (Consolidation) Integration (Brokered) Federation Content Rules Collect content from non-ECM repositories (take it) e.g. SharePoint, Domino Integrate from all repositories (leave it, search in place) Federate content from ECM repositories (borrow it, index it) e.g. Documentum, FileNet Image Services
Description All paradigms require connectors to other repositories Collection and Federation use connectors that periodically crawl the other repositories looking for new or updated content – search is performed in the IBM FileNet P8 catalogue Integration only searches other repositories on-demand and is architected and performed outside of IBM FileNet P8 (IBM FileNet P8 is just another repository)
Collection Moves content from one non-ECM repository to another File shares to IBM FileNet P8 SharePoint to IBM FileNet P8 Domino to IBM FileNet P8 Collection creates a central catalogue One catalogue, one search Query only central repository Useful for initiating workflows and records management Best use is for collecting enterprise content from non-ECM repositories Take new content as it is created (periodic crawl and take) Leave a copy, a stub or nothing
Integration Leave all content in place Send queries to all repositories Return an integrated result set to the user Search can take a long time depending on scope of the search parameters, performance of the external systems 	e.g. ICI (IICE) brokers a query to each connector/repository and combines the result sets into one
Federation “Borrow it, index it” Content is stored and managed in another ECM repository Content is indexed in IBM FileNet P8 Content metadata is collected and stored in IBM FileNet P8 External repositories periodically export metadata to IBM FileNet P8 Export metadata and index new content as created

Contenu connexe

En vedette

Big Data Analytics in light of Financial Industry
Big Data Analytics in light of Financial Industry Big Data Analytics in light of Financial Industry
Big Data Analytics in light of Financial Industry
Capgemini
 

En vedette (13)

Zero Dollar Car - Part 2: Rewriting the narrative in favor of the automotive ...
Zero Dollar Car - Part 2: Rewriting the narrative in favor of the automotive ...Zero Dollar Car - Part 2: Rewriting the narrative in favor of the automotive ...
Zero Dollar Car - Part 2: Rewriting the narrative in favor of the automotive ...
 
Financial security and machine learning
Financial security and machine learningFinancial security and machine learning
Financial security and machine learning
 
Fusion P8 for FileNet Overview
Fusion P8 for FileNet OverviewFusion P8 for FileNet Overview
Fusion P8 for FileNet Overview
 
IBM File Net P8
IBM File Net P8IBM File Net P8
IBM File Net P8
 
Machine learning for_finance
Machine learning for_financeMachine learning for_finance
Machine learning for_finance
 
Infosys Amplifying Human Potential
Infosys Amplifying Human PotentialInfosys Amplifying Human Potential
Infosys Amplifying Human Potential
 
Using Machine Learning & AI to Enhance Fraud Detection
Using Machine Learning & AI to Enhance Fraud DetectionUsing Machine Learning & AI to Enhance Fraud Detection
Using Machine Learning & AI to Enhance Fraud Detection
 
Big Data Analytics in light of Financial Industry
Big Data Analytics in light of Financial Industry Big Data Analytics in light of Financial Industry
Big Data Analytics in light of Financial Industry
 
Machine learning use cases in finance
Machine learning use cases in financeMachine learning use cases in finance
Machine learning use cases in finance
 
Big Data Analytics for Banking, a Point of View
Big Data Analytics for Banking, a Point of ViewBig Data Analytics for Banking, a Point of View
Big Data Analytics for Banking, a Point of View
 
Efficient State Management With Spark 2.0 And Scale-Out Databases
Efficient State Management With Spark 2.0 And Scale-Out DatabasesEfficient State Management With Spark 2.0 And Scale-Out Databases
Efficient State Management With Spark 2.0 And Scale-Out Databases
 
Machine Learning in Customer Analytics
Machine Learning in Customer AnalyticsMachine Learning in Customer Analytics
Machine Learning in Customer Analytics
 
Big Data Analytics for Insurance Business
Big Data Analytics for Insurance BusinessBig Data Analytics for Insurance Business
Big Data Analytics for Insurance Business
 

Similaire à Enterprise Content Search Paradigms

Simon Waddington BL RIC WORKSHOP 22032011
Simon Waddington BL RIC WORKSHOP 22032011Simon Waddington BL RIC WORKSHOP 22032011
Simon Waddington BL RIC WORKSHOP 22032011
djmichael156
 
End Note X2 tutorial
End Note X2  tutorialEnd Note X2  tutorial
End Note X2 tutorial
Aaron Tay
 
Migrating Very Large Site Collections (SPSDC)
Migrating Very Large Site Collections (SPSDC)Migrating Very Large Site Collections (SPSDC)
Migrating Very Large Site Collections (SPSDC)
kiwiboris
 

Similaire à Enterprise Content Search Paradigms (20)

Fundamentals Of Search
Fundamentals Of SearchFundamentals Of Search
Fundamentals Of Search
 
ALA Interoperability
ALA InteroperabilityALA Interoperability
ALA Interoperability
 
Building Angular Component Libraries
Building Angular Component LibrariesBuilding Angular Component Libraries
Building Angular Component Libraries
 
Structuring and packaging your python project
Structuring and packaging your python projectStructuring and packaging your python project
Structuring and packaging your python project
 
Simon Waddington BL RIC WORKSHOP 22032011
Simon Waddington BL RIC WORKSHOP 22032011Simon Waddington BL RIC WORKSHOP 22032011
Simon Waddington BL RIC WORKSHOP 22032011
 
Ontopia/Liferay integration @TMRA 2010
Ontopia/Liferay integration @TMRA 2010Ontopia/Liferay integration @TMRA 2010
Ontopia/Liferay integration @TMRA 2010
 
End Note X2 tutorial
End Note X2  tutorialEnd Note X2  tutorial
End Note X2 tutorial
 
SharePoint 2013 Search - Whats new for End Users
SharePoint 2013 Search - Whats new for End UsersSharePoint 2013 Search - Whats new for End Users
SharePoint 2013 Search - Whats new for End Users
 
SPEVO13 - IW509 - Records Management and Search
SPEVO13 - IW509 - Records Management and SearchSPEVO13 - IW509 - Records Management and Search
SPEVO13 - IW509 - Records Management and Search
 
TYPO3 6.0. What's new
TYPO3 6.0. What's newTYPO3 6.0. What's new
TYPO3 6.0. What's new
 
Moss 2007 Ng Ipr Crawl Detail
Moss 2007 Ng Ipr Crawl DetailMoss 2007 Ng Ipr Crawl Detail
Moss 2007 Ng Ipr Crawl Detail
 
Theming and content basics - Drupal Camp CT 2011
Theming and content basics - Drupal Camp CT 2011Theming and content basics - Drupal Camp CT 2011
Theming and content basics - Drupal Camp CT 2011
 
Drupal Theming for Developers
Drupal Theming for DevelopersDrupal Theming for Developers
Drupal Theming for Developers
 
Migrating Very Large Site Collections (SPSDC)
Migrating Very Large Site Collections (SPSDC)Migrating Very Large Site Collections (SPSDC)
Migrating Very Large Site Collections (SPSDC)
 
Drupal 8: Theming. Lviv Drupal Cafe #4
Drupal 8: Theming. Lviv Drupal Cafe #4Drupal 8: Theming. Lviv Drupal Cafe #4
Drupal 8: Theming. Lviv Drupal Cafe #4
 
AtoM's Command Line Tasks - An Introduction
AtoM's Command Line Tasks - An IntroductionAtoM's Command Line Tasks - An Introduction
AtoM's Command Line Tasks - An Introduction
 
Using forms in oXygen XML editor
Using forms in oXygen XML editorUsing forms in oXygen XML editor
Using forms in oXygen XML editor
 
Asp .net folders and web.config
Asp .net folders and web.configAsp .net folders and web.config
Asp .net folders and web.config
 
Migrating very large site collections
Migrating very large site collectionsMigrating very large site collections
Migrating very large site collections
 
Intro to OctoberCMS
Intro to OctoberCMSIntro to OctoberCMS
Intro to OctoberCMS
 

Plus de David Champeau

ECM Project Management Basics
ECM Project Management BasicsECM Project Management Basics
ECM Project Management Basics
David Champeau
 
Moving file shares to ibm file net p8 summary
Moving file shares to ibm file net p8 summaryMoving file shares to ibm file net p8 summary
Moving file shares to ibm file net p8 summary
David Champeau
 

Plus de David Champeau (11)

It business processes EA, SA and SOA together
It business processes   EA, SA and SOA togetherIt business processes   EA, SA and SOA together
It business processes EA, SA and SOA together
 
Information management
Information managementInformation management
Information management
 
ECM Project Management Basics
ECM Project Management BasicsECM Project Management Basics
ECM Project Management Basics
 
Some Basics of an ECM Project
Some Basics of an ECM ProjectSome Basics of an ECM Project
Some Basics of an ECM Project
 
Moving file shares to ibm file net p8 summary
Moving file shares to ibm file net p8 summaryMoving file shares to ibm file net p8 summary
Moving file shares to ibm file net p8 summary
 
ECM Pillars
ECM PillarsECM Pillars
ECM Pillars
 
ECM BPM Strategy With Enterprise Architecture Maturity Model
ECM BPM Strategy With Enterprise Architecture Maturity ModelECM BPM Strategy With Enterprise Architecture Maturity Model
ECM BPM Strategy With Enterprise Architecture Maturity Model
 
ECM BPM IT Architecture
ECM BPM IT ArchitectureECM BPM IT Architecture
ECM BPM IT Architecture
 
It Architects And Engineers
It Architects And EngineersIt Architects And Engineers
It Architects And Engineers
 
BPM Process Patterns Primer
BPM Process Patterns PrimerBPM Process Patterns Primer
BPM Process Patterns Primer
 
Taxonomy And Metadata
Taxonomy And MetadataTaxonomy And Metadata
Taxonomy And Metadata
 

Dernier

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 

Dernier (20)

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 

Enterprise Content Search Paradigms

  • 1. Content Search Paradigms David Champeau ECM Consultant 06/29/2009
  • 2. Introduction Search Paradigms Collection (Consolidation) Integration (Brokered) Federation Content Rules Collect content from non-ECM repositories (take it) e.g. SharePoint, Domino Integrate from all repositories (leave it, search in place) Federate content from ECM repositories (borrow it, index it) e.g. Documentum, FileNet Image Services
  • 3. Description All paradigms require connectors to other repositories Collection and Federation use connectors that periodically crawl the other repositories looking for new or updated content – search is performed in the IBM FileNet P8 catalogue Integration only searches other repositories on-demand and is architected and performed outside of IBM FileNet P8 (IBM FileNet P8 is just another repository)
  • 4. Collection Moves content from one non-ECM repository to another File shares to IBM FileNet P8 SharePoint to IBM FileNet P8 Domino to IBM FileNet P8 Collection creates a central catalogue One catalogue, one search Query only central repository Useful for initiating workflows and records management Best use is for collecting enterprise content from non-ECM repositories Take new content as it is created (periodic crawl and take) Leave a copy, a stub or nothing
  • 5. Integration Leave all content in place Send queries to all repositories Return an integrated result set to the user Search can take a long time depending on scope of the search parameters, performance of the external systems e.g. ICI (IICE) brokers a query to each connector/repository and combines the result sets into one
  • 6. Federation “Borrow it, index it” Content is stored and managed in another ECM repository Content is indexed in IBM FileNet P8 Content metadata is collected and stored in IBM FileNet P8 External repositories periodically export metadata to IBM FileNet P8 Export metadata and index new content as created