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<!DOCTYPE html>
<html lang="en">
<title>DISK: Automated DIscovery of Scientific Knowledge</title>
<meta charset="UTF-8" />
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<body>
<header class="w3-container w3-theme w3-padding w3-center" id="topMenu">
<div class="w3-container">
<div class="w3-container">
<h2>
<img src="images/LogoWithNameSmall.png" alt="DISK" /> DISK:
Automated DIscovery of Scientific Knowledge
</h2>
</div>
</div>
<div class="w3-center">
<div class="w3-bar w3-theme">
<a href="index.html" class="w3-bar-item w3-button w3-padding-8"
>Home</a
>
<a href="software.html" class="w3-bar-item w3-button w3-padding-8">Software</a>
<a href="portal.html" class="w3-bar-item w3-button w3-padding-8"
>Portals</a
>
<a
href="about.html"
class="w3-bar-item w3-button w3-padding-8 selected"
>About</a
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>People</a
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>
</div>
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</header>
<div class="w3-content w3-justify">
<h3 class="w3-center">The DISK Project</h3>
<p>
The automation of important aspects of scientific discovery will
significantly accelerate. Our claim is that given the right knowledge
and methods, computers could autonomously carry out discovery processes
by searching hypothesis spaces in a systematic, comprehensive, and
efficient manner.<br /><br />
In this project, we are investigating a novel approach to automate the
hypothesize-test-evaluate discovery cycle with an intelligent system
that a scientist can task with lines of inquiry to test hypotheses of
interest. We are implementing this approach in DISK (automated DIscovery
of Scientific Knowledge), a system that uses the existing WINGS
intelligent workflow system for scientific data analysis, and applying
it to multiple domains.<br /><br />
Our work to date has focused on four major research objectives:
</p>
<p>
1) Representing hypotheses and associated evidence and confidence
values;
</p>
<p>
2) Formulating lines of inquiry that express how to test hypotheses by
running data analysis workflows against the latest data available;
</p>
<p>
3) Designing a meta-analysis engine that uses meta-workflows to assess
the results of lines of inquiry and revise and extend the original
hypotheses accordingly; and
</p>
<p>
4) Developing intelligent agents for interactive discovery that explain
new findings to scientists.
</p>
<figure role="group" class="caption caption-img align-center">
<img
alt="An overview of the DISK framework"
src="images/architecture.png"
width="100%"
/>
<figcaption>An Overview of the DISK framework</figcaption>
</figure>
<p>
An overview of the DISK framework can be seen in the image above,
illustrating how the four main objectives are integrated. First, a user
defines the hypothesis to test with the help of the interactive
discovery agent, which helps to transform the hypothesis statements into
a machine readable representation.
If the hypothesis matches a line of inquiry, then the system will start searching for the appropriate data
to test it, exploring open repositories for each specific domain.
</p>
<p>
When the data is found, the workflows in the line of inquiry are sent to
the workflow system, where they are executed. The results of the
execution are then stored in the DISK system and can be used for posterior analysis.
Finally, the repository and previous results are explored by the metaworkflows associated with the line of
inquiry to create a revision of the original hypothesis.
</p>
<br />
<h4> Representing hypotheses </h4>
<p>
To represent hypotheses and goals we use the Scientific Question Ontology (SQO).
SQO aims to define Semantic Templates for Scientific Questions, in order to make them customizable by users.
This ontology defines Question Templates, Question Variables and their respective options and constraints.
This way users are guided on the creation of testable hypotheses.
</p>
<p>
The latest version of the ontology is available at <a href="https://w3id.org/sqo" target="_blank">w3id.org/sqo</a>
</p>
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