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Guy DivitaQing Zeng-TreitlerSalt Lake City VA,

University of Utah School of Medicine

Pragmatic Interoperability

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Toy Story• We all agree one-off-solution is not good• Many approaches to Interoperability

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Internal Interoperability

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Framework Supporting Interoperability

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Within System Issues

Many Master Builders who do not share a plan!And plan changes…

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Within System Issues

Sometimes integration is more work than building from scrtach

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Pragmatic Interoperability

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Overview

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Terminology

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Messaging Protocol

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Ontological Alignment

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Pragmatics

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Pragmatics (2)

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Feature Alignment Semantics

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Feature Alignment Semantics (2)

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Expressibility

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Expressibility (2)

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Expressibility(3)

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Pragmatics (again)

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Interoperability Efforts within v3NLP

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• From survey of existing NLP systems

• Common ontological referent points

• Combines CDA, Penn Treebank labels

• New labels where needed – Document structure (table,

figure, snippet, slot value …

• Rendered into • UIMA Type Descriptors• Protégée Ontology

Common Set of Labels

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Interoperability Efforts within v3NLP

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Special Considerations

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Modeling Negation

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Asymmetric Interoperability

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Barriers to Interoperability

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Solution

Limit the number of moving parts

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Some planning

Simple protocol

Simple semantics

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Pragmatic InteroperabilityPrinciples

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• Programs, projects, ideas, utilities, services and shared resources

• workflow aids, annotation editors, evaluation tools, lexicon generation aids, ontology development tools, dashboards

• Repo’s, wiki’s, website(s)• Evolving standards, guidelines, best practices

NLP Ecosystem Elements

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• Big goals, grand challenges, many little dance steps

• Engendering developer and user communities• Engendering collaborative environments• Governing body to influence direction• ……

NLP Ecosystem Elements (continued)

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One-off code for specific

tasks (GSpell)

Open source software

developed on common

framework (HITEx)

Interoperable and user friendly

systems on common

framework (V3NLP)

NLP ecosystem/Marketplace

Clinical NLP Development Trend

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EMMASophia

cTAKESVoogo

ARC

UFIT

Common Labels

Sublanguage Model

UIMA-GATE converter

WEKA

UIMA

U Compare

MetaMap

RapTAT

Mallot

… Toward a NLP Ecosystem

Dave

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POS Tagger

Shallow NP Parser

Full Parser

Section Tokenizer

Document Classifier

De-Identification

Semantic Classification

Concept Identification

Annotation ToolsCorpus Annotation

Analysis

Negation

Relationship Identification

Temporal Relations

Local Terminology Development Tool

Co-reference Resolution

Word Sense Disambiguation

Document / Section / Sentence/ Phrase

Information Retrieval indexes

Concept: value Identification

Table Tokenization

Figure/Caption Identification

Document Summarization

Multi-Document Summarization –

Novelty Detection

Anaphora Resolution

Text Normalization (stemming)

Spelling Suggestion

Text Simplification

Theme Detection

Concordance

Term Identification

Template Detection

Text-To-Structured Data

GATE

UIMA

Knowtator

NLP Standards

An Ecosystem that includes