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AD Lab Andrews- Dalkilic Data Exploration

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AD Lab Architecture Knowledge Base RULES Working Memory FACTS Explanation Knowledge Acquisition INFERENCE ENGINE AGENDA UI

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Page 1: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Andrews-Dalkilic

Data Exploration

Page 2: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Outline

Architecture

What is Bioinformatics?

Explore some bioinformatics problems and tools

Talk about what’s in store for us

Page 3: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Architecture

KnowledgeBase

RULES

Working MemoryFACTS

Explanation KnowledgeAcquisition

INFERENCEENGINE

AGENDA

UI

Page 4: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Architecture

KnowledgeAcquisition

A (semi)automatic way to add domain knowledge (rules) without having to be a programmer

We can create rules—but virtually no facility to explain how and why.

Page 5: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Architecture

FactoidsRule-based Systems

Rules

Post ProductionEfficient Pattern

Matching

Inference Engine

RHS Execution

Conflict ResolutionMarkov

ReteBayesian

Page 6: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Architecture

Post Production

Page 7: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Architecture

Premises (facts)

Axiomization & Inference Rules • build• tear apart

Bertrand Russell said, ``The point of philosophy is to start with something so simple as not to seem worth stating, and to end with something so paradoxical that no one will believe it.''

Page 8: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Architecture

Premises (facts)

Questions:Are these facts consistent? existing systems

Is this model consistent with the data?existing systems

Page 9: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Architecture

Axiomization & Rules• build• tear apart

Axiomization is meta-language over the facts

Any new facts are consistent with existing factsNo “new” facts can be found…

Page 10: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Architecture

Premises (facts)

Axiomization & Inference Rules

Querying (with a new [partial] fact)What in my database makes my fact true?

What is known about my fact?

Page 11: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Page 12: AD Lab Andrews-Dalkilic Data Exploration. AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about

AD Lab

Bon Voyage

Summary1st pass—deduction (simple)2nd pass—fuzzy 3rd Bayesian belief network