Semantic search uses language processing to analyze the meaning of content and search queries to return more relevant results. It involves classifying content using taxonomies, identifying named entities, extracting relationships between entities, and matching these based on meaning. Implementing semantic search requires preparing content through classification, metadata, and information architecture, as well as technologies for semantic tagging, entity extraction, triple stores, and integrating these capabilities with existing search and content management systems.

1. Implementing Semantic Search in the Enterprise Paul Wlodarczyk Director of Consulting Services Earley & Associates Amber Swope

6. Example: Named Entities

13. ECM and Enterprise Search Roll-out Strategy & Plan Implement Deploy Maintain People Use cases and User Experience Job Redesign, Communities Training Incentives for participation Process Content Lifecycle Analysis Workflow, bus. rules, process redesign Governance Evergreen process for maintaining IA Technology Business & system req’ts, technical architecture ECM and Search Implementation Desktop integration (classification, search) Social tech (ratings, tags, bookmarks) Content Content Analysis, Information Architecture, Taxonomy dev’t Content migration Content classification tools, search tools Taxonomy maintenance, folksonomy Strategy & Plan Implement Deploy Maintain

14. Layer-in Semantic Enterprise Search Semantic technologies play a role in content classification – from defining taxonomies and ontologies, to tagging documents, to improving search terms and hits – as well as in search and discovery Strategy & Plan Implement Deploy Maintain People Use cases and User Experience Job Redesign Training Incentives for participation Process Content Lifecycle Analysis Workflow, bus. rules, process redesign Governance Evergreen process for maintaining IA Technology Business & system req’ts, technical architecture ECM and Search Implementation , Semantic search implementation Desktop integration (classification, search) Social tech (ratings, tags, bookmarks) , machine learning Content Content Analysis, Information Architecture, Taxonomy dev’t Content migration , build triple stores, semantic training sets Content classification tools, search tools Taxonomy maintenance, folksonomy Strategy & Plan Implement Deploy Maintain

15. Classify, Navigate, Search, Retrieve Content within the Enterprise Content Author Check-in & Classify Document or Content Object Retrieve Document or Content Object Retrieve Unformatted Content End User Retrieve Formatted Content Retrieve Document End User End User

20. Preparing Content for Semantic Search Strategy & Plan Implement Deploy Maintain