Semantic Content Infrastructure for Knowledge Applications Tools of Change 2011 Thane Kerner, CEO
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Semantic Content Infrastructure for Knowledge Applications Tools of Change 2011 Thane Kerner, CEO Silverchair
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Semantic Content Infrastructure for Knowledge Applications Tools of Change 2011 Thane Kerner, CEO Silverchair. 1. Basics of Semantic Content 2. Dynamic Concept-Based Relationships 3. Semantically-Driven Behavioral Analysis 4. Application Ecosystem. N-Tier Basics. N-Tier Basics. - PowerPoint PPT Presentation
Transcript of Semantic Content Infrastructure for Knowledge Applications Tools of Change 2011 Thane Kerner, CEO
Semantic Content Infrastructurefor Knowledge Applications
Tools of Change 2011Thane Kerner, CEOSilverchair
1. Basics of Semantic Content
2. Dynamic Concept-Based Relationships
3. Semantically-Driven Behavioral Analysis
4. Application Ecosystem
N-Tier Basics
N-Tier Basics
N-Tier Basics
N-TierPublishing
N-TierPublishing
N-TierPublishing
Taxonomic Normalization
Chapter 23: Numbness, Tingling, and Sensory LossNormal somatic sensation reflects a continuous monitoring process, little of which reaches consciousness under ordinary conditions. By contrast, disordered sensation, particularly when experienced as painful, is alarming and…
For Humans
<semantics controlvocab=“UMLS”> <tag> <root-term termID="28648">sensation disorders</root-term>…
For Computers
“disordered sensation” = 215 PubMed results“sensation disorders”
= 112,577 PubMed results
<title>
<author>
<abstract>
<reference>
<section>
<topic=panic disorder>
<topic=therapy>
<topic=evidence quality>
GranularSemanticMetadata
DynamicConcept-BasedRelationships
Ontological expression
<drug=rosiglitazone>
<is risk factor for>
<condition=myocardial infarction>
Behavioral Analysis to Improve Relevance
O6AE-9D3-F412
Application Ecosystem
Production approach“Here’s how we do that semantic thing.”
Application approach“Here’s how we create a more useful and compelling service for our customers.”
Information Criticality
Health care
Biz Comm (email, etc.)
Shopping
General News
Professional Info / Research
Medical point of care
CommoditizationMistrustAbandonmentBad outcomesMalpractice
Accuracy Threshold
Relative Accuracy
Req’d Entertainment
Taxonomic Approach to Content Enrichment
• Add a Domain-Aware Dimension to Text Mining Techniques
• Developed Technology Based on Domain… LanguageRelationshipsProcesses and Use Cases
The Domain-Aware Approach
<optimal semantic metadata>
Knowledge Domain Abstraction (Taxonomy and Ontology)
Statistical Text Mining
(NLP)
UserInputs
Taxonomic Content Inputs
Scaled Content Enrichment
Vocabulary control
Real-time query expansion/normalization; navigation; related concepts; etc.Swiss SOAP XML API
Concept Identification
Significance Weighting
Search query logs; user activity logs; content phrase analysis, taxonomy interaction analysis
Content gap analysis
Publisher Web Applications
Publisher Content Repository
Tagmaster Automated Tagging System
Content Import/Export Integration Layer
(Including Editorial Review & Validation)
Cortex TaxonomyHierarchical relationshipsUMLS/standards mapping
Equivalents ServerSynonyms/Alt phrasing Acronyms/Jargon
Totem Taxonomy & Thesaurus Manager
+
Custom TaxonomiesCustom collection mappingLocal/proprietary terms
+
XML Web Services(Swiss Context Server)
Taxonomy/Collections Management Group
Semantic Services Architecture
User Behavior Inputs
