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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
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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
Tools of Change 2011Thane Kerner, CEOSilverchair