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html/goldman1997dataguides.html

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<a href="../">Papers</a>
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<h1 id="dataguides-enabling-query-formulation-and-optimization-in-semistructured-databases-1997"><a href="https://scholar.google.com/scholar?cluster=1701940952301007499">Dataguides: Enabling Query Formulation and Optimization in Semistructured Databases (1997)</a></h1>
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<h1 id="dataguides-enabling-query-formulation-and-optimization-in-semistructured-databases-1997"><a href="https://scholar.google.com/scholar?cluster=1701940952301007499">DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases (1997)</a></h1>
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<p>Database schemata serve two purposes: (1) they allows users to understand the structure of the data and form meaningful queries over it, and (2) they allow the query optimizer to generate efficient query plans. Unfortunately, semistructured databases do not have clean schemata, so it becomes harder to accomplish (1) and (2). This paper presents <strong>DataGuides</strong>: a pseudo-schema data structure for semistructured graph databases. DataGuides are implemented in the Lore DBMS.</p>
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<h2 id="object-exchange-model">Object Exchange Model</h2>
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<p>DataGuides are designed to work with the <strong>object exchange model</strong> (OEM) which we now describe. In the OEM, data is represented as a directed possible cyclic graph with a designated root such that:</p>

index.html

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<li><a href="html/harinarayan1996implementing.html">Implementing Data Cubes Efficiently <span class="year">(1996)</span></a></li>
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<li><a href="html/agarwal1996computation.html">On the Computation of Multidimensional Aggregates <span class="year">(1996)</span></a></li>
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<li><a href="html/wilkes1996hp.html">The HP AutoRAID hierarchical storage system <span class="year">(1996)</span></a></li>
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<li><a href="html/goldman1997dataguides.html">Dataguides: Enabling Query Formulation and Optimization in Semistructured Databases <span class="year">(1997)</span></a></li>
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<li><a href="html/goldman1997dataguides.html">DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases <span class="year">(1997)</span></a></li>
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<li><a href="html/bugnion1997disco.html">Disco: Running Commodity Operating Systems on Scalable Multiprocessors <span class="year">(1997)</span></a></li>
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<li><a href="html/o1997improved.html">Improved Query Performance with Variant Indexes <span class="year">(1997)</span></a></li>
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<li><a href="html/brin1998anatomy.html">The Anatomy of a Large-Scale Hypertextual Web Search Engine <span class="year">(1998)</span></a></li>

papers/goldman1997dataguides.md

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# [Dataguides: Enabling Query Formulation and Optimization in Semistructured Databases (1997)](https://scholar.google.com/scholar?cluster=1701940952301007499)
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# [DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases (1997)](https://scholar.google.com/scholar?cluster=1701940952301007499)
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Database schemata serve two purposes: (1) they allows users to understand the
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structure of the data and form meaningful queries over it, and (2) they allow
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the query optimizer to generate efficient query plans. Unfortunately,

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