Bioinformatics: Converting Data to Knowledge


Click here to start

Table of Contents

Bioinformatics: Converting Data to Knowledge

PPT Slide


Loops of Data and Knowledge

Volume and Variety


Diversity ? Heterogeneity

Scope differences

Heterogeneity inhibits Integration

Heterogeneity among domains is natural

Required precision = F(volume)

Inconsistency causes errors, while results need precision

Broad array of relatable sources

PPT Slide

Quality of data verified through publication

Projects requiring manual curation are domain specific

Data integration in Literature

PPT Slide

Means to achieve precision in text

Integration makes Semantic Mismatches visible

Shared Knowledge Base

Complex Relationships


Consistency: global or partial ?

Stanford Infolab SKC project ( Scalable Knowledge Composition )

Exploit Domain-specific Expertise .

SKC grounded definition .

Sample Operation: INTERSECTION

An Ontology Algebra


Other Basic Operations

Sample Operation: INTERSECTION

Tools to create articulations

continue from initial point

Candidate Match Nexus

Using the Match Nexus

Using the Match Nexus

Features of an algebra

Knowledge Composition

Support Domain Specialization

Summary Scalable Knowledge Composition

Many Other Tasks at/near Stanford

Provenance of derived data

The People Problem

Bioinformatics: Converting Data to Knowledge


Privacy requires Ethics

PPT Slide

Author: Gio Wiederhold


Home Page: