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<section>
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<h2>The database is in the way</h2>
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<h3 class="fragment">Why?</h3>
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</section>
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<section>
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</section>
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<section>
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<section>
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<h3>On representing incomplete information in a relational data base</h3>
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<h4>T. Imielinski & W. Lipski Jr.<span style="margin-left: 40px">(<i>VLDB <span class="fragment highlight-current-red" data-fragment-index="1">1981</span></i>)</span></h4>
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</g>
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transform="translate(540, 0)"
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points="20,60 140,60 120,50 140,60 120,70 140,60"
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transform="translate(0,390) rotate(-60)"
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/>
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<text x="120" y="230">Probab.</text>
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<text x="120" y="280">Cert. A.</text>
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<polyline
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points="110,270 240,270"
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style="stroke: red;"
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class="fragment" data-fragment-index="5"
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/>
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<g class="fragment" data-fragment-index="8">
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<image
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xlink:href="graphics/dagobert83-female-user-icon-800px.png"
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width="100" height="100"
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x="110" y="180"
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/>
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<text x="180" y="190">?</text>
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</g>
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</svg>
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<p class="fragment" data-fragment-index="4" style="font-size: smaller">
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<p class="fragment" data-fragment-index="6" style="font-size: smaller">
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We've gotten good at query processing on uncertain data.<br/>
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<span class="fragment" data-fragment-index="5">But not at "sourcing" uncertain data
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<span class="fragment" data-fragment-index="6">... or communicating results.</span></span>
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<span class="fragment" data-fragment-index="7">But not at "sourcing" uncertain data
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<span class="fragment" data-fragment-index="8">... or communicating results.</span></span>
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</p>
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</section>
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<section>
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<h3>Challenges</h3>
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<ul>
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<li>Where do Probabilities/Possible Worlds Come From?</li>
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<li>How do I use the output of a probablistic DB query?</li>
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<li>Probablistic DB queries are sloooooow.</li>
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</ul>
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<p class="fragment" style="font-size: smaller;">A small shift in how we think about PDBs addresses all three points.</p>
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</section>
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</section>
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<section>
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/>
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<text x="150" y="430">Q<tspan style="font-size: smaller">4</tspan>(D)</text>
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<g transform="translate(500,0)"
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/>
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<g transform="translate(260,0)"
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class="fragment" data-fragment-index="2"
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/>
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</g>
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</svg>
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<p class="fragment" style="font-size: smaller;"><b>Insight 1:</b> Treat data as 100% deterministic. <br/>Instead, queries propose alternative interpretations.</p>
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<p style="font-size: smaller; margin-bottom: 0px; margin-top: 0px;"><b>Insight:</b> Treat data as 100% deterministic.</p>
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<p
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style="font-size: smaller; margin-top: 0px;"
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class="fragment" data-fragment-index="2"
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>Instead, queries propose alternative interpretations.</p>
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</section>
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<section>
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<h3>Effects</h3>
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<ol>
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<li class="fragment" style="margin-top: 30px;">It's clear where uncertainty comes from.</li>
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<li class="fragment" style="margin-top: 30px;">Results can be communicated through provenance.</li>
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<li class="fragment" style="margin-top: 30px;">Query evaluation is decoupled from physical layout.</li>
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</ol>
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</section>
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</section>
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<section>
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<section>
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<h3>Non-Deterministic Queries</h3>
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</section>
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<section>
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<p></p>
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</section>
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</section>
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<section>
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<section>
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<h3>Uncertainty as Provenance</h3>
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<p>
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Introduce Best-Guess queries and the idea of explanations. Key points:
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<ul>
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<li>Best-guess queries</li>
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<li>Generating explanations</li>
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<li>Ranking explanations</li>
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</ul>
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</p>
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</section>
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<section>
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<img src="graphics/mimir_logo_final.png">
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<h2>Demo</h2>
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</section>
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</section>
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<section>
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<section>
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<h3>Virtualized Uncertainty</h3>
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<p>
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Optimizing sampling-based query evaluation
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</p>
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</section>
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</section>
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<section>
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<section>
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<h3>Schema-Level Uncertainty</h3>
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</section>
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</section>
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